初始化项目，由ModelHub XC社区提供模型
Model: TheBloke/gpt4-alpaca-lora-13B-GPTQ Source: Original Platform
This commit is contained in:
ModelHub XC
34
.gitattributes
vendored
Normal file
34
.gitattributes
vendored
Normal file
@@ -0,0 +1,34 @@
|
||||
*.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
|
||||
*.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
|
||||
116
README.md
Normal file
116
README.md
Normal file
@@ -0,0 +1,116 @@
|
||||
---
|
||||
license: other
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: text2text-generation
|
||||
tags:
|
||||
- alpaca
|
||||
- llama
|
||||
- chat
|
||||
- gpt4
|
||||
inference: false
|
||||
---
|
||||
<!-- header start -->
|
||||
<!-- 200823 -->
|
||||
<div style="width: auto; margin-left: auto; margin-right: auto">
|
||||
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
||||
</div>
|
||||
<div style="display: flex; justify-content: space-between; width: 100%;">
|
||||
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
||||
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://discord.gg/theblokeai">Chat & support: TheBloke's Discord server</a></p>
|
||||
</div>
|
||||
<div style="display: flex; flex-direction: column; align-items: flex-end;">
|
||||
<p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
|
||||
</div>
|
||||
</div>
|
||||
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">TheBloke's LLM work is generously supported by a grant from <a href="https://a16z.com">andreessen horowitz (a16z)</a></p></div>
|
||||
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
|
||||
<!-- header end -->
|
||||
|
||||
This is a 4bit 128g GPTQ of [chansung's gpt4-alpaca-lora-13b](https://huggingface.co/chansung/gpt4-alpaca-lora-13b).
|
||||
|
||||
## How to easily download and use this model in text-generation-webui
|
||||
|
||||
Open the text-generation-webui UI as normal.
|
||||
|
||||
1. Click the **Model tab**.
|
||||
2. Under **Download custom model or LoRA**, enter `TheBloke/gpt4-alpaca-lora-13B-GPTQ-4bit-128g`.
|
||||
3. Click **Download**.
|
||||
4. Wait until it says it's finished downloading.
|
||||
5. Click the **Refresh** icon next to **Model** in the top left.
|
||||
6. In the **Model drop-down**: choose the model you just downloaded,`gpt4-alpaca-lora-13B-GPTQ-4bit-128g`.
|
||||
7. If you see an error in the bottom right, ignore it - it's temporary.
|
||||
8. Check that the `GPTQ parameters` are correct on the right: `Bits = 4`, `Groupsize = 128`, `model_type = Llama`
|
||||
9. Click **Save settings for this model** in the top right.
|
||||
10. Click **Reload the Model** in the top right.
|
||||
11. Once it says it's loaded, click the **Text Generation tab** and enter a prompt!
|
||||
|
||||
Command to create was:
|
||||
```
|
||||
CUDA_VISIBLE_DEVICES=0 python3 llama.py /content/gpt4-alpaca-lora-13B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors /content/gpt4-alpaca-lora-13B-GPTQ-4bit-128g.safetensors
|
||||
```
|
||||
|
||||
Command to clone the latest Triton GPTQ-for-LLaMa repo for inference using `llama_inference.py`, or in `text-generation-webui`:
|
||||
```
|
||||
# Clone text-generation-webui, if you don't already have it
|
||||
git clone https://github.com/oobabooga/text-generation-webui
|
||||
# Make a repositories directory
|
||||
mkdir -p text-generation-webui/repositories
|
||||
cd text-generation-webui/repositories
|
||||
# Clone the latest GPTQ-for-LLaMa code inside text-generation-webui
|
||||
git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa
|
||||
```
|
||||
|
||||
There is also a `no-act-order.safetensors` file which will work with oobabooga's fork of GPTQ-for-LLaMa; it does not require the latest GPTQ code.
|
||||
|
||||
<!-- footer start -->
|
||||
<!-- 200823 -->
|
||||
## Discord
|
||||
|
||||
For further support, and discussions on these models and AI in general, join us at:
|
||||
|
||||
[TheBloke AI's Discord server](https://discord.gg/theblokeai)
|
||||
|
||||
## Thanks, and how to contribute.
|
||||
|
||||
Thanks to the [chirper.ai](https://chirper.ai) team!
|
||||
|
||||
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
|
||||
|
||||
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
|
||||
|
||||
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
|
||||
|
||||
* Patreon: https://patreon.com/TheBlokeAI
|
||||
* Ko-Fi: https://ko-fi.com/TheBlokeAI
|
||||
|
||||
**Special thanks to**: Aemon Algiz.
|
||||
|
||||
**Patreon special mentions**: Sam, theTransient, Jonathan Leane, Steven Wood, webtim, Johann-Peter Hartmann, Geoffrey Montalvo, Gabriel Tamborski, Willem Michiel, John Villwock, Derek Yates, Mesiah Bishop, Eugene Pentland, Pieter, Chadd, Stephen Murray, Daniel P. Andersen, terasurfer, Brandon Frisco, Thomas Belote, Sid, Nathan LeClaire, Magnesian, Alps Aficionado, Stanislav Ovsiannikov, Alex, Joseph William Delisle, Nikolai Manek, Michael Davis, Junyu Yang, K, J, Spencer Kim, Stefan Sabev, Olusegun Samson, transmissions 11, Michael Levine, Cory Kujawski, Rainer Wilmers, zynix, Kalila, Luke @flexchar, Ajan Kanaga, Mandus, vamX, Ai Maven, Mano Prime, Matthew Berman, subjectnull, Vitor Caleffi, Clay Pascal, biorpg, alfie_i, 阿明, Jeffrey Morgan, ya boyyy, Raymond Fosdick, knownsqashed, Olakabola, Leonard Tan, ReadyPlayerEmma, Enrico Ros, Dave, Talal Aujan, Illia Dulskyi, Sean Connelly, senxiiz, Artur Olbinski, Elle, Raven Klaugh, Fen Risland, Deep Realms, Imad Khwaja, Fred von Graf, Will Dee, usrbinkat, SuperWojo, Alexandros Triantafyllidis, Swaroop Kallakuri, Dan Guido, John Detwiler, Pedro Madruga, Iucharbius, Viktor Bowallius, Asp the Wyvern, Edmond Seymore, Trenton Dambrowitz, Space Cruiser, Spiking Neurons AB, Pyrater, LangChain4j, Tony Hughes, Kacper Wikieł, Rishabh Srivastava, David Ziegler, Luke Pendergrass, Andrey, Gabriel Puliatti, Lone Striker, Sebastain Graf, Pierre Kircher, Randy H, NimbleBox.ai, Vadim, danny, Deo Leter
|
||||
|
||||
|
||||
Thank you to all my generous patrons and donaters!
|
||||
|
||||
And thank you again to a16z for their generous grant.
|
||||
|
||||
<!-- footer end -->
|
||||
# Original model card is below
|
||||
|
||||
This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
|
||||
- Training script: borrowed from the official [Alpaca-LoRA](https://github.com/tloen/alpaca-lora) implementation
|
||||
- Training script:
|
||||
```shell
|
||||
python finetune.py \
|
||||
--base_model='decapoda-research/llama-30b-hf' \
|
||||
--data_path='alpaca_data_gpt4.json' \
|
||||
--num_epochs=10 \
|
||||
--cutoff_len=512 \
|
||||
--group_by_length \
|
||||
--output_dir='./gpt4-alpaca-lora-30b' \
|
||||
--lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' \
|
||||
--lora_r=16 \
|
||||
--batch_size=... \
|
||||
--micro_batch_size=...
|
||||
```
|
||||
|
||||
You can find how the training went from W&B report [here](https://wandb.ai/chansung18/gpt4_alpaca_lora/runs/w3syd157?workspace=user-chansung18).
|
||||
34
config.json
Normal file
34
config.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"_name_or_path": "/content/llama-13b-hf-latest",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 13824,
|
||||
"max_position_embeddings": 2048,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 40,
|
||||
"num_hidden_layers": 40,
|
||||
"pad_token_id": 0,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.29.0.dev0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 32000,
|
||||
"quantization_config": {
|
||||
"bits": 4,
|
||||
"group_size": 128,
|
||||
"damp_percent": 0.01,
|
||||
"desc_act": false,
|
||||
"sym": true,
|
||||
"true_sequential": true,
|
||||
"model_name_or_path": null,
|
||||
"model_file_base_name": "model",
|
||||
"quant_method": "gptq"
|
||||
}
|
||||
}
|
||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"pad_token_id": 0,
|
||||
"transformers_version": "4.29.0.dev0"
|
||||
}
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fcc29201f4163cdffaa6a10610b956f994e8c91e8e5818a2eccd40034bdb0964
|
||||
size 7255159272
|
||||
410
pytorch_model.bin.index.json
Normal file
410
pytorch_model.bin.index.json
Normal file
@@ -0,0 +1,410 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 26031738880
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.embed_tokens.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.20.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||
"model.layers.25.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.30.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.32.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.33.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.34.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.35.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.input_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.mlp.down_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.mlp.gate_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.mlp.up_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.post_attention_layernorm.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.self_attn.k_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.self_attn.o_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.36.self_attn.v_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.37.input_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.mlp.down_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.mlp.gate_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.mlp.up_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.post_attention_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.self_attn.k_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.self_attn.o_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.self_attn.q_proj.weight": "pytorch_model-00003-of-00004.bin",
|
||||
"model.layers.37.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.37.self_attn.v_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.input_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.mlp.down_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.mlp.gate_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.mlp.up_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.post_attention_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.self_attn.k_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.self_attn.o_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.self_attn.q_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.38.self_attn.v_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.input_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.mlp.down_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.mlp.gate_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.mlp.up_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.post_attention_layernorm.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.self_attn.k_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.self_attn.o_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.self_attn.q_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.39.self_attn.v_proj.weight": "pytorch_model-00004-of-00004.bin",
|
||||
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00004.bin",
|
||||
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||
"model.norm.weight": "pytorch_model-00004-of-00004.bin"
|
||||
}
|
||||
}
|
||||
10
quantize_config.json
Normal file
10
quantize_config.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"bits": 4,
|
||||
"group_size": 128,
|
||||
"damp_percent": 0.01,
|
||||
"desc_act": false,
|
||||
"sym": true,
|
||||
"true_sequential": true,
|
||||
"model_name_or_path": null,
|
||||
"model_file_base_name": "model"
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
33
tokenizer_config.json
Normal file
33
tokenizer_config.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user