初始化项目，由ModelHub XC社区提供模型
Model: campedersen/cad0 Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
203
README.md
Normal file
203
README.md
Normal file
@@ -0,0 +1,203 @@
|
||||
---
|
||||
license: mit
|
||||
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
|
||||
tags:
|
||||
- text-to-cad
|
||||
- cad
|
||||
- 3d-modeling
|
||||
- parametric
|
||||
- lora
|
||||
- qwen2
|
||||
language:
|
||||
- en
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
|
||||
# cad0
|
||||
|
||||
**cad0** is a fine-tuned language model for text-to-CAD generation. Given a natural
|
||||
language description of a mechanical part, it generates [Compact
|
||||
IR](https://github.com/ecto/vcad) — a token-efficient domain-specific
|
||||
language for parametric 3D geometry.
|
||||
|
||||
## Demo
|
||||
|
||||
Try it: [**cad0-demo on HuggingFace
|
||||
Spaces**](https://huggingface.co/spaces/campedersen/cad0-demo)
|
||||
|
||||
For browser/offline use:
|
||||
[**cad0-mini**](https://huggingface.co/campedersen/cad0-mini) (0.5B, ONNX quantized)
|
||||
|
||||
## What It Does
|
||||
|
||||
```
|
||||
Input: "50x30mm mounting plate with 4 corner holes"
|
||||
Output: C 50 30 5
|
||||
Y 2.5 10
|
||||
T 1 5 5 0
|
||||
D 0 2
|
||||
...
|
||||
```
|
||||
|
||||
The Compact IR output can be parsed and evaluated by the [vcad
|
||||
kernel](https://github.com/ecto/vcad) to produce editable parametric
|
||||
geometry.
|
||||
|
||||
## Supported Part Types
|
||||
|
||||
| Family | Examples |
|
||||
|--------|----------|
|
||||
| Bracket | L-brackets, Z-brackets, mounting plates |
|
||||
| Standoff | Cylindrical spacers, threaded standoffs |
|
||||
| Enclosure | Boxes, vented enclosures, rounded shells |
|
||||
| Gear | Spur gears, hubs |
|
||||
| Flange | Bolt circles, blind flanges |
|
||||
| Clip | Snap clips, spring clips |
|
||||
|
||||
## Usage
|
||||
|
||||
### With Transformers + PEFT
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
from peft import PeftModel
|
||||
|
||||
base_model = AutoModelForCausalLM.from_pretrained(
|
||||
"Qwen/Qwen2.5-Coder-7B-Instruct",
|
||||
torch_dtype="auto",
|
||||
device_map="auto"
|
||||
)
|
||||
model = PeftModel.from_pretrained(base_model, "campedersen/cad0")
|
||||
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct")
|
||||
|
||||
prompt = "50x30mm mounting plate with 4 corner holes"
|
||||
messages = [{"role": "user", "content": prompt}]
|
||||
text = tokenizer.apply_chat_template(messages, tokenize=False,
|
||||
add_generation_prompt=True)
|
||||
|
||||
inputs = tokenizer(text, return_tensors="pt").to(model.device)
|
||||
outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.1,
|
||||
do_sample=True)
|
||||
ir = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:],
|
||||
skip_special_tokens=True)
|
||||
print(ir)
|
||||
```
|
||||
|
||||
### API Endpoint
|
||||
|
||||
```
|
||||
curl -X POST https://ecto--cad0-training-inference-infer.modal.run \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"prompt": "L-bracket with mounting holes", "temperature": 0.1}'
|
||||
```
|
||||
|
||||
## Compact IR Reference
|
||||
|
||||
```
|
||||
┌──────────────┬──────────────┬──────────────────────────────────┐
|
||||
│ Op │ Syntax │ Description │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Cube │ C x y z │ Box with dimensions x, y, z (mm) │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Cylinder │ Y r h │ Cylinder with radius r, height h │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Sphere │ S r │ Sphere with radius r │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Cone │ K r1 r2 h │ Cone/frustum │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Translate │ T n x y z │ Move node n by offset │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Rotate │ R n rx ry rz │ Rotate node n (degrees) │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Scale │ X n sx sy sz │ Scale node n │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Union │ U a b │ Boolean union │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Difference │ D a b │ Boolean subtraction │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Intersection │ I a b │ Boolean intersection │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Shell │ SH n t │ Hollow out with wall thickness t │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Fillet │ F n r │ Round edges with radius r │
|
||||
├──────────────┼──────────────┼──────────────────────────────────┤
|
||||
│ Chamfer │ CH n d │ Bevel edges with distance d │
|
||||
└──────────────┴──────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
Nodes are 0-indexed; each line creates a new node.
|
||||
|
||||
## Training
|
||||
|
||||
```
|
||||
┌───────────────────┬───────────────────────────┐
|
||||
│ Parameter │ Value │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Base model │ Qwen2.5-Coder-7B-Instruct │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Method │ QLoRA (4-bit NF4) │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ LoRA rank │ 64 │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ LoRA alpha │ 128 │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Training examples │ 530,531 │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Epochs │ 1 │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Batch size │ 64 (effective) │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Learning rate │ 2e-4 (cosine) │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Hardware │ 1x NVIDIA H100 80GB │
|
||||
├───────────────────┼───────────────────────────┤
|
||||
│ Training time │ 9h 15m │
|
||||
└───────────────────┴───────────────────────────┘
|
||||
```
|
||||
|
||||
## Evaluation
|
||||
|
||||
```
|
||||
┌──────────────────────────┬───────────────────────────┐
|
||||
│ Metric │ Value │
|
||||
├──────────────────────────┼───────────────────────────┤
|
||||
│ Final eval loss │ 0.324 │
|
||||
├──────────────────────────┼───────────────────────────┤
|
||||
│ In-distribution accuracy │ 75% │
|
||||
├──────────────────────────┼───────────────────────────┤
|
||||
│ Out-of-distribution │ Limited (see Limitations) │
|
||||
└──────────────────────────┴───────────────────────────┘
|
||||
```
|
||||
|
||||
## Limitations
|
||||
|
||||
- Training bias: May add features (holes, fillets) to simple primitives — training
|
||||
data weighted toward complex manufactured parts
|
||||
- Dimension ambiguity: Occasionally confuses radius vs diameter for cylinders
|
||||
- Limited primitives: No native hexagon support; hex shapes require boolean
|
||||
workarounds
|
||||
- OOD generalization: Struggles with part types not in training distribution
|
||||
|
||||
## Related
|
||||
|
||||
- https://github.com/ecto/vcad — Open-source parametric CAD with custom BRep
|
||||
kernel
|
||||
- https://vcad.io — Web app with cad0 integration
|
||||
- https://huggingface.co/campedersen/cad0-mini — 0.5B distilled model for browser
|
||||
inference
|
||||
|
||||
## Citation
|
||||
|
||||
@misc{cad0,
|
||||
author = {Cam Pedersen},
|
||||
title = {cad0: Text-to-CAD Language Model},
|
||||
year = {2026},
|
||||
publisher = {HuggingFace},
|
||||
url = {https://huggingface.co/campedersen/cad0}
|
||||
}
|
||||
|
||||
## License
|
||||
|
||||
MIT
|
||||
|
||||
24
added_tokens.json
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"</tool_call>": 151658,
|
||||
"<tool_call>": 151657,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
44
config.json
Normal file
44
config.json
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"_name_or_path": "Qwen/Qwen2.5-Coder-7B",
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3584,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 18944,
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"quantization_config": {
|
||||
"_load_in_4bit": true,
|
||||
"_load_in_8bit": false,
|
||||
"bnb_4bit_compute_dtype": "bfloat16",
|
||||
"bnb_4bit_quant_storage": "uint8",
|
||||
"bnb_4bit_quant_type": "nf4",
|
||||
"bnb_4bit_use_double_quant": false,
|
||||
"llm_int8_enable_fp32_cpu_offload": false,
|
||||
"llm_int8_has_fp16_weight": false,
|
||||
"llm_int8_skip_modules": null,
|
||||
"llm_int8_threshold": 6.0,
|
||||
"load_in_4bit": true,
|
||||
"load_in_8bit": false,
|
||||
"quant_method": "bitsandbytes"
|
||||
},
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float32",
|
||||
"transformers_version": "4.47.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"max_new_tokens": 2048,
|
||||
"transformers_version": "4.47.0"
|
||||
}
|
||||
90
handler.py
Normal file
90
handler.py
Normal file
@@ -0,0 +1,90 @@
|
||||
"""
|
||||
Custom handler for cad0 HuggingFace Inference Endpoint.
|
||||
|
||||
This loads the Qwen2.5-Coder-7B-Instruct base model with the cad0 LoRA adapter.
|
||||
Upload this file to the campedersen/cad0 model repo.
|
||||
"""
|
||||
|
||||
from typing import Dict, Any
|
||||
import torch
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
|
||||
|
||||
|
||||
class EndpointHandler:
|
||||
def __init__(self, path: str = ""):
|
||||
"""Load model and tokenizer."""
|
||||
# Base model that cad0 was fine-tuned from
|
||||
base_model = "Qwen/Qwen2.5-Coder-7B-Instruct"
|
||||
|
||||
# Load tokenizer from base model
|
||||
self.tokenizer = AutoTokenizer.from_pretrained(
|
||||
base_model,
|
||||
trust_remote_code=True
|
||||
)
|
||||
|
||||
# Quantization config for efficient inference
|
||||
bnb_config = BitsAndBytesConfig(
|
||||
load_in_4bit=True,
|
||||
bnb_4bit_compute_dtype=torch.float16,
|
||||
)
|
||||
|
||||
# Load the fine-tuned model (path points to the model repo)
|
||||
self.model = AutoModelForCausalLM.from_pretrained(
|
||||
path,
|
||||
quantization_config=bnb_config,
|
||||
trust_remote_code=True,
|
||||
device_map="auto",
|
||||
low_cpu_mem_usage=True,
|
||||
)
|
||||
|
||||
self.model.eval()
|
||||
|
||||
def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
Handle inference request.
|
||||
|
||||
Expected input format:
|
||||
{
|
||||
"inputs": "prompt text or chat-formatted text",
|
||||
"parameters": {
|
||||
"max_new_tokens": 256,
|
||||
"temperature": 0.1,
|
||||
"do_sample": true,
|
||||
"return_full_text": false
|
||||
}
|
||||
}
|
||||
"""
|
||||
inputs = data.get("inputs", "")
|
||||
parameters = data.get("parameters", {})
|
||||
|
||||
# Default parameters
|
||||
max_new_tokens = parameters.get("max_new_tokens", 256)
|
||||
temperature = parameters.get("temperature", 0.1)
|
||||
do_sample = parameters.get("do_sample", temperature > 0)
|
||||
return_full_text = parameters.get("return_full_text", False)
|
||||
|
||||
# Tokenize
|
||||
encoded = self.tokenizer(inputs, return_tensors="pt").to(self.model.device)
|
||||
input_length = encoded.input_ids.shape[1]
|
||||
|
||||
# Generate
|
||||
with torch.no_grad():
|
||||
outputs = self.model.generate(
|
||||
**encoded,
|
||||
max_new_tokens=max_new_tokens,
|
||||
temperature=temperature if temperature > 0 else 1.0,
|
||||
do_sample=do_sample,
|
||||
pad_token_id=self.tokenizer.eos_token_id,
|
||||
eos_token_id=self.tokenizer.eos_token_id,
|
||||
)
|
||||
|
||||
# Decode
|
||||
if return_full_text:
|
||||
generated_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
|
||||
else:
|
||||
generated_text = self.tokenizer.decode(
|
||||
outputs[0][input_length:],
|
||||
skip_special_tokens=True
|
||||
)
|
||||
|
||||
return {"generated_text": generated_text}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b1923a347747aa961911601a31e0f4b63b6afdd6d8ae2d75212b8b163078c053
|
||||
size 4988667796
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5506a723e0b2c1de5de8567aeb65ec5d4eefd4e3b46622c134f39a74e0009a55
|
||||
size 3043259380
|
||||
934
model.safetensors.index.json
Normal file
934
model.safetensors.index.json
Normal file
@@ -0,0 +1,934 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 8031815456
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00002-of-00002.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight.absmax": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight.quant_map": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight.absmax": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight.quant_map": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
6
requirements.txt
Normal file
6
requirements.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
# Requirements for cad0 HuggingFace Inference Endpoint
|
||||
# Upload as requirements.txt to the campedersen/cad0 model repo
|
||||
transformers>=4.44.0
|
||||
torch>=2.0.0
|
||||
accelerate>=0.34.0
|
||||
bitsandbytes>=0.46.0
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:145191e3b102f64e84dab1926006ee71528c1ea536df048ef9ff6c48d01f95de
|
||||
size 11421995
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user