初始化项目，由ModelHub XC社区提供模型
Model: microsoft/X-Reasoner-7B Source: Original Platform
This commit is contained in:
ModelHub XC
55
.gitattributes
vendored
Normal file
55
.gitattributes
vendored
Normal file
@@ -0,0 +1,55 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 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
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack 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
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* 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
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
||||
*.tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
*.db* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ark* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.gguf* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ggml filter=lfs diff=lfs merge=lfs -text
|
||||
*.llamafile* filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
model-00001-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
merges.txt filter=lfs diff=lfs merge=lfs -text
|
||||
model-00003-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
vocab.json filter=lfs diff=lfs merge=lfs -text
|
||||
model-00002-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
190
README.md
Normal file
190
README.md
Normal file
@@ -0,0 +1,190 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: image-text-to-text
|
||||
tags:
|
||||
- multimodal
|
||||
library_name: transformers
|
||||
base_model:
|
||||
- Qwen/Qwen2.5-VL-7B-Instruct
|
||||
---
|
||||
|
||||
|
||||
## Introduction
|
||||
|
||||
We introduce X-Reasoner, a vision-language model posttrained solely on general-domain text for generalizable reasoning, using a twostage approach: an initial supervised fine-tuning phase with distilled long chainof-thoughts, followed by reinforcement learning with verifiable rewards. Experiments show that X-Reasoner successfully transfers reasoning capabilities to both multimodal and out-of-domain settings, outperforming existing state-of-theart models trained with in-domain and multimodal data across various general and medical benchmarks. More details can be found in the paper: [X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains](https://arxiv.org/abs/2505.03981)
|
||||
|
||||
## Requirements
|
||||
We recommend installing the transformers version used in our experiments and other dependencies with this command:
|
||||
```
|
||||
pip install transformers==4.57.1 accelerate==1.12.0 torchvision==0.24.1 qwen-vl-utils==0.0.14
|
||||
```
|
||||
|
||||
## Quickstart
|
||||
|
||||
Below, we provide a some examples to show how to use X-Reasoner with 🤗 Transformers or vLLM.
|
||||
|
||||
<details>
|
||||
<summary>Inference with HF Transformers 🤗</summary>
|
||||
Here we show a code snippet to show you how chat with X-Reasoner using `transformers` and `qwen_vl_utils`:
|
||||
|
||||
```python
|
||||
import torch
|
||||
from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
|
||||
from qwen_vl_utils import process_vision_info
|
||||
|
||||
# default: Load the model on the available device(s)
|
||||
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
|
||||
"microsoft/X-Reasoner-7B", dtype=torch.bfloat16, device_map="auto"
|
||||
)
|
||||
|
||||
# We recommend enabling flash_attention_2 for better acceleration and memory saving, especially in multi-image and video scenarios.
|
||||
# model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
|
||||
# "microsoft/X-Reasoner",
|
||||
# dtype=torch.bfloat16,
|
||||
# attn_implementation="flash_attention_2",
|
||||
# device_map="auto",
|
||||
# )
|
||||
|
||||
# You can set min_pixels and max_pixels according to your needs.
|
||||
min_pixels = 262144
|
||||
max_pixels = 262144
|
||||
processor = AutoProcessor.from_pretrained("microsoft/X-Reasoner-7B", min_pixels=min_pixels, max_pixels=max_pixels)
|
||||
|
||||
# Multiple Choice Query
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
|
||||
{"type": "text", "text": "You should provide your thoughts within <think> </think> tags, then answer with just one of the options below within <answer> </answer> tags (For example, if the question is \n'Is the earth flat?\n A: Yes \nB: No', you should answer with <think>...</think> <answer>B: No</answer>). \nHere is the question:"},
|
||||
{
|
||||
"type": "image",
|
||||
"image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg",
|
||||
},
|
||||
{"type": "text", "text": "Is there a dog in the image? A. Yes B. No"},
|
||||
],
|
||||
}
|
||||
]
|
||||
|
||||
# Preparation for inference
|
||||
text = processor.apply_chat_template(
|
||||
messages, tokenize=False, add_generation_prompt=True
|
||||
)
|
||||
image_inputs, video_inputs = process_vision_info(messages)
|
||||
inputs = processor(
|
||||
text=[text],
|
||||
images=image_inputs,
|
||||
videos=video_inputs,
|
||||
padding=True,
|
||||
return_tensors="pt",
|
||||
)
|
||||
|
||||
|
||||
inputs = inputs.to(device="cuda")
|
||||
|
||||
# Inference: Generation of the output
|
||||
generated_ids = model.generate(**inputs, max_new_tokens=4000)
|
||||
generated_ids_trimmed = [
|
||||
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
|
||||
]
|
||||
output_text = processor.batch_decode(
|
||||
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
|
||||
)
|
||||
print(output_text)
|
||||
|
||||
```
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Inference with vLLM</summary>
|
||||
|
||||
Here we show an example of how to use X-Reasoner-7B with vLLM (tested with vLLM==0.11.2 and transformers==4.57.1):
|
||||
|
||||
```python
|
||||
from vllm import LLM, SamplingParams
|
||||
from transformers import AutoProcessor
|
||||
|
||||
min_pixels = 262144
|
||||
max_pixels = 262144
|
||||
processor = AutoProcessor.from_pretrained("microsoft/X-Reasoner-7B", min_pixels=min_pixels, max_pixels=max_pixels)
|
||||
|
||||
llm = LLM(
|
||||
model="microsoft/X-Reasoner-7B",
|
||||
trust_remote_code=True,
|
||||
dtype="bfloat16",
|
||||
max_model_len=8192,
|
||||
tensor_parallel_size=4,
|
||||
gpu_memory_utilization=0.8,
|
||||
limit_mm_per_prompt={"image": 1}
|
||||
)
|
||||
|
||||
# Set up sampling parameters
|
||||
sampling_params = SamplingParams(
|
||||
temperature=0.6,
|
||||
max_tokens=4000,
|
||||
)
|
||||
|
||||
image_data = []
|
||||
|
||||
|
||||
|
||||
# Multiple Choice Query
|
||||
image_data = ['https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg']
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "image",
|
||||
"image": image_data[0],
|
||||
},
|
||||
{"type": "text", "text": "You should provide your thoughts within <think> </think> tags, then answer with just one of the options below within <answer> </answer> tags (For example, if the question is \n'Is the earth flat?\n A: Yes \nB: No', you should answer with <think>...</think> <answer>B: No</answer>). \nHere is the question: Is there a dog in the picture? A: Yes B: No"},
|
||||
],
|
||||
}
|
||||
]
|
||||
|
||||
prompt = processor.apply_chat_template(
|
||||
messages, tokenize=False, add_generation_prompt=True)
|
||||
|
||||
if image_data:
|
||||
mm_prompt = {
|
||||
"prompt": prompt,
|
||||
"multi_modal_data": {"image": image_data}
|
||||
}
|
||||
else:
|
||||
mm_prompt = {"prompt": prompt}
|
||||
|
||||
# Generate response
|
||||
outputs = llm.generate([mm_prompt], sampling_params)
|
||||
|
||||
# Print the generated response
|
||||
for output in outputs:
|
||||
prompt = output.prompt
|
||||
generated_text = output.outputs[0].text
|
||||
print(f"Prompt: {prompt}")
|
||||
print(f"Generated text: {generated_text}")
|
||||
print("-" * 50)
|
||||
```
|
||||
</details>
|
||||
|
||||
|
||||
### Known Issues
|
||||
* In case the model generates non-stopping reasoning trace, we add `</think>` as a stop token to the assistant output and re-run to generate the final answer.
|
||||
|
||||
## Citation
|
||||
|
||||
If you find our work helpful, feel free to give us a cite.
|
||||
|
||||
```
|
||||
@misc{liu2025xreasonergeneralizablereasoningmodalities,
|
||||
title={X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains},
|
||||
author={Qianchu Liu and Sheng Zhang and Guanghui Qin and Timothy Ossowski and Yu Gu and Ying Jin and Sid Kiblawi and Sam Preston and Mu Wei and Paul Vozila and Tristan Naumann and Hoifung Poon},
|
||||
year={2025},
|
||||
eprint={2505.03981},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.AI},
|
||||
url={https://arxiv.org/abs/2505.03981},
|
||||
}
|
||||
```
|
||||
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
|
||||
}
|
||||
3
chat_template.json
Normal file
3
chat_template.json
Normal file
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
||||
}
|
||||
65
config.json
Normal file
65
config.json
Normal file
@@ -0,0 +1,65 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2_5_VLForConditionalGeneration"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3584,
|
||||
"image_token_id": 151655,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 18944,
|
||||
"max_position_embeddings": 128000,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2_5_vl",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": {
|
||||
"mrope_section": [
|
||||
16,
|
||||
24,
|
||||
24
|
||||
],
|
||||
"rope_type": "default",
|
||||
"type": "default"
|
||||
},
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": 32768,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.51.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"video_token_id": 151656,
|
||||
"vision_config": {
|
||||
"depth": 32,
|
||||
"fullatt_block_indexes": [
|
||||
7,
|
||||
15,
|
||||
23,
|
||||
31
|
||||
],
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1280,
|
||||
"in_channels": 3,
|
||||
"in_chans": 3,
|
||||
"intermediate_size": 3420,
|
||||
"model_type": "qwen2_5_vl",
|
||||
"num_heads": 16,
|
||||
"out_hidden_size": 3584,
|
||||
"patch_size": 14,
|
||||
"spatial_merge_size": 2,
|
||||
"spatial_patch_size": 14,
|
||||
"temporal_patch_size": 2,
|
||||
"tokens_per_second": 2,
|
||||
"torch_dtype": "bfloat16",
|
||||
"window_size": 112
|
||||
},
|
||||
"vision_end_token_id": 151653,
|
||||
"vision_start_token_id": 151652,
|
||||
"vision_token_id": 151654,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "image-text-to-text", "allow_remote": true}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"eos_token_id": 151645,
|
||||
"pad_token_id": 151643,
|
||||
"transformers_version": "4.51.2"
|
||||
}
|
||||
BIN
merges.txt
(Stored with Git LFS)
Normal file
BIN
merges.txt
(Stored with Git LFS)
Normal file
Binary file not shown.
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4e0223cb291961beb7e66eee34221a3170adfb977e7b75339850da33ff6ba643
|
||||
size 4940903808
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b1d07c796b12a1096714e9bfbbcbff4050d71441dba5db25db7153846943848f
|
||||
size 4866281424
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a3b84f8494210d196d97107452b6bef421469233e1e3b7050f021ffad2612f5a
|
||||
size 4338290376
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c18aa84ffb2579699c636736f52ba8b8e221d1af7cf94e74b880d32b8504fcfd
|
||||
size 2438938936
|
||||
736
model.safetensors.index.json
Normal file
736
model.safetensors.index.json
Normal file
@@ -0,0 +1,736 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 16584333312
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00004-of-00004.safetensors",
|
||||
"model.embed_tokens.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.0.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.0.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.gate_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.0.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.0.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.0.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.1.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.1.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.1.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.10.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.10.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.up_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.11.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.12.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.12.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.12.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.12.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.14.attn.qkv.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.14.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.14.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.14.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.15.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.15.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.15.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.15.norm1.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.16.attn.qkv.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.16.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.16.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.16.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.17.attn.proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.17.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.17.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.17.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.18.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.18.norm2.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.19.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.19.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.19.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.19.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.19.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.19.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.down_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.gate_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.2.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.20.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.21.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.21.attn.proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.21.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.21.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.21.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.22.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.22.attn.qkv.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.22.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.22.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.23.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.attn.proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.24.attn.proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.24.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.24.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.24.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.25.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.25.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.25.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.26.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.down_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.26.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.27.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.27.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.27.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.27.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.27.norm2.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.28.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.28.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.28.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.28.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.29.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.29.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.29.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.down_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.up_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.29.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.29.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.3.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.3.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.down_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.3.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.3.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.30.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.30.attn.proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.30.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.30.norm2.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.31.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.31.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.down_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.31.norm1.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.31.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.4.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.4.attn.proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.4.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.up_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.4.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.4.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.4.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.5.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.5.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.5.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.5.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.5.norm2.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.6.attn.proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.6.attn.qkv.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.6.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.up_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.6.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.6.norm1.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.gate_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.7.norm2.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.8.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.attn.qkv.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.8.norm2.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.9.attn.proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.9.attn.proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.9.attn.qkv.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.down_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.gate_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.up_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.blocks.9.norm1.weight": "model-00003-of-00004.safetensors",
|
||||
"visual.blocks.9.norm2.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.merger.ln_q.weight": "model-00002-of-00004.safetensors",
|
||||
"visual.merger.mlp.0.bias": "model-00002-of-00004.safetensors",
|
||||
"visual.merger.mlp.0.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.merger.mlp.2.bias": "model-00003-of-00004.safetensors",
|
||||
"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.patch_embed.proj.weight": "model-00003-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
36
preprocessor_config.json
Normal file
36
preprocessor_config.json
Normal file
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"crop_size": null,
|
||||
"data_format": "channels_first",
|
||||
"default_to_square": true,
|
||||
"device": null,
|
||||
"do_center_crop": null,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"image_mean": [
|
||||
0.48145466,
|
||||
0.4578275,
|
||||
0.40821073
|
||||
],
|
||||
"image_processor_type": "Qwen2VLImageProcessorFast",
|
||||
"image_std": [
|
||||
0.26862954,
|
||||
0.26130258,
|
||||
0.27577711
|
||||
],
|
||||
"input_data_format": null,
|
||||
"max_pixels": 12845056,
|
||||
"merge_size": 2,
|
||||
"min_pixels": 3136,
|
||||
"patch_size": 14,
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"return_tensors": null,
|
||||
"size": {
|
||||
"longest_edge": 12845056,
|
||||
"shortest_edge": 3136
|
||||
},
|
||||
"temporal_patch_size": 2
|
||||
}
|
||||
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": "<|im_end|>",
|
||||
"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 sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
210
tokenizer_config.json
Normal file
210
tokenizer_config.json
Normal file
@@ -0,0 +1,210 @@
|
||||
{
|
||||
"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 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 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": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null,
|
||||
"use_fast": true
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user