初始化项目，由ModelHub XC社区提供模型
Model: Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound-awq-inc Source: Original Platform
This commit is contained in:
ModelHub XC
49
.gitattributes
vendored
Normal file
49
.gitattributes
vendored
Normal file
@@ -0,0 +1,49 @@
|
||||
*.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
|
||||
*.safetensors 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
|
||||
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
292
README.md
Normal file
292
README.md
Normal file
@@ -0,0 +1,292 @@
|
||||
---
|
||||
license: mit
|
||||
datasets:
|
||||
- NeelNanda/pile-10k
|
||||
base_model:
|
||||
- deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
|
||||
|
||||
---
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
This model is an int4 model with group_size 128 and symmetric quantization of [deepseek-ai/DeepSeek-R1-0528-Qwen3-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B) generated by [intel/auto-round](https://github.com/intel/auto-round) algorithm.
|
||||
|
||||
Please follow the license of the original model.
|
||||
|
||||
## How To Use
|
||||
|
||||
**INT4 Inference on CPU/Intel GPU/CUDA**
|
||||
|
||||
~~~python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
|
||||
quantized_model_dir = "Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound-awq-inc"
|
||||
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
quantized_model_dir,
|
||||
torch_dtype="auto",
|
||||
device_map="auto",
|
||||
)
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, trust_remote_code=True)
|
||||
prompts = [
|
||||
"9.11和9.8哪个数字大",
|
||||
"How many e in word deepseek",
|
||||
"There are ten birds in a tree. A hunter shoots one. How many are left in the tree?",
|
||||
]
|
||||
|
||||
texts = []
|
||||
for prompt in prompts:
|
||||
messages = [
|
||||
{"role": "user", "content": prompt} ##change this to align with the official usage
|
||||
]
|
||||
text = tokenizer.apply_chat_template(
|
||||
messages,
|
||||
tokenize=False,
|
||||
add_generation_prompt=True
|
||||
)
|
||||
texts.append(text)
|
||||
inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True)
|
||||
|
||||
outputs = model.generate(
|
||||
input_ids=inputs["input_ids"].to(model.device),
|
||||
attention_mask=inputs["attention_mask"].to(model.device),
|
||||
max_length=512, ##change this to align with the official usage
|
||||
num_return_sequences=1,
|
||||
do_sample=False ##change this to align with the official usage
|
||||
)
|
||||
generated_ids = [
|
||||
output_ids[len(input_ids):] for input_ids, output_ids in zip(inputs["input_ids"], outputs)
|
||||
]
|
||||
|
||||
decoded_outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
|
||||
|
||||
for i, prompt in enumerate(prompts):
|
||||
input_id = inputs
|
||||
print(f"Prompt: {prompt}")
|
||||
print(f"Generated: {decoded_outputs[i]}")
|
||||
print("-" * 50)
|
||||
|
||||
"""
|
||||
Prompt: 9.11和9.8哪个数字大
|
||||
Generated: <think>
|
||||
首先，用户的问题是：“9.11和9.8哪个数字大？”这是一个比较两个数字大小的问题。
|
||||
|
||||
数字是9.11和9.8。9.11是九点一一，9.8是九点八。
|
||||
|
||||
在比较小数时，我们需要考虑小数点后的位数。9.11有两位小数，9.8有一位小数，但我们可以将它们视为相同的小数位数来比较。
|
||||
|
||||
9.8可以写成9.80，这样就有两位小数了。所以，9.80和9.11。
|
||||
|
||||
现在，比较9.80和9.11。整数部分相同，都是9。所以，我们需要比较小数部分。
|
||||
|
||||
小数部分：9.80的十分位是8，百分位是0；9.11的十分位是1，百分位是1。
|
||||
|
||||
从十分位开始比较：8 vs 1，8大于1，所以9.80大于9.11。
|
||||
|
||||
因此，9.8大于9.11。
|
||||
|
||||
用户可能是在考虑日期或版本号，但问题明确是“数字”，所以应该作为数值来比较。
|
||||
|
||||
在数值上，9.8是9.80，而9.11是9.11，所以9.80 > 9.11。
|
||||
|
||||
确认一下：9.8 = 9 + 8/10 = 9.80，而9.11 = 9 + 1/10 + 1/100 = 9.11。
|
||||
|
||||
是的，9.80比9.11大。
|
||||
|
||||
如果用户是在考虑字符串比较，比如版本号，那么9.11可能被视为9.11，而9.8被视为9.8，但在版本号比较中，通常是从左到右比较数字部分。
|
||||
|
||||
例如，在软件版本中，9.8可能被视为9.8.0，所以比较9.11和9.8.0。
|
||||
|
||||
9.11的主版本是9，次版本是11；9.8的主版本是9，次版本是8。
|
||||
|
||||
所以，主版本相同，次版本11大于8，因此9.11大于9.8。
|
||||
|
||||
但问题中说的是“数字
|
||||
--------------------------------------------------
|
||||
Prompt: How many e in word deepseek
|
||||
Generated: <think>
|
||||
First, the user asked: "How many e in word deepseek". I need to count the number of 'e's in the word "deepseek".
|
||||
|
||||
Let me write down the word: D-E-E-P-S-E-E-K.
|
||||
|
||||
Now, I'll go through each letter and count the 'e's.
|
||||
|
||||
- D: not e
|
||||
|
||||
- E: e (first one)
|
||||
|
||||
- E: e (second one)
|
||||
|
||||
- P: not e
|
||||
|
||||
- S: not e
|
||||
|
||||
- E: e (third one)
|
||||
|
||||
- E: e (fourth one)
|
||||
|
||||
- K: not e
|
||||
|
||||
So, there are four 'e's in "deepseek".
|
||||
|
||||
I should confirm the spelling. "Deepseek" – is that the correct spelling? I think it's a company name or something, but based on the query, it's given as "deepseek", so I'll assume that's the word.
|
||||
|
||||
Also, the user said "e in word", which might be a typo or shorthand for "e's in the word". Probably, they meant "how many e's are in the word deepseek".
|
||||
|
||||
Now, to respond, I should be clear and direct. Since this is a simple count, I can just state the number.
|
||||
|
||||
But let me make sure there's no trick here. Is "deepseek" meant to be "DeepSeek" or something else? The query says "deepseek", so I'll treat it as a lowercase word for counting purposes.
|
||||
|
||||
Perhaps it's a reference to the AI model DeepSeek, but I think for this question, it's just about the word itself.
|
||||
|
||||
So, counting: positions with 'e' are 2nd, 3rd, 6th, and 7th letters. That's four.
|
||||
|
||||
I can also think of it as the word has 8 letters, and 'e' appears at indices 2,3,6,7 if we start counting from 1.
|
||||
|
||||
But for the response, I don't need to be too technical.
|
||||
|
||||
Finally, I should phrase my response to be helpful and engaging, but since the question is straightforward, a simple answer might suffice.
|
||||
|
||||
Response: There are 4 'e's in the word "deepseek".
|
||||
</think>
|
||||
The word "deepseek" contains **4** instances of the letter "e".
|
||||
|
||||
To break it down:
|
||||
- The word is spelled: D-E-E-P-S-E
|
||||
--------------------------------------------------
|
||||
Prompt: There are ten birds in a tree. A hunter shoots one. How many are left in the tree?
|
||||
Generated: <think>
|
||||
First, the question is: "There are ten birds in a tree. A hunter shoots one. How many are left in the tree?"
|
||||
|
||||
This seems like a riddle. The straightforward answer might be nine, but I think there's a trick here. Riddles often play on words or assumptions.
|
||||
|
||||
Let me read it carefully. "There are ten birds in a tree." Then, "A hunter shoots one." And it asks how many are left.
|
||||
|
||||
Now, when a hunter shoots a bird, does that mean the bird dies and falls out of the tree? Or does it fly away? That's a common point in these kinds of riddles.
|
||||
|
||||
The classic version of this riddle is: "There are 10 birds in a tree. A hunter shoots one. How many are left?" And the answer is zero because the sound of the gunshot scares the others away.
|
||||
|
||||
But in this case, it's similar. Let me confirm the wording. "A hunter shoots one." It doesn't specify if the shot is heard or if the birds are scared.
|
||||
|
||||
However, in the standard riddle, the implication is that the shot scares the remaining birds, so they fly away, leaving none.
|
||||
|
||||
But here, it just says "shoots one," not necessarily that the shot is loud or that the birds are scared. Maybe I should consider the context.
|
||||
|
||||
Perhaps it's about the birds being alive or dead. But the question is about how many are left in the tree, not how many are alive.
|
||||
|
||||
Another angle: maybe the hunter is shooting at the birds, but not necessarily hitting them or causing them to leave. But that seems less likely.
|
||||
|
||||
Let's think step by step.
|
||||
|
||||
Initially, there are ten birds in the tree.
|
||||
|
||||
Hunter shoots one. What happens to that one? It's shot, so probably it dies or falls down.
|
||||
|
||||
But the question is about how many are left, meaning remaining in the tree.
|
||||
|
||||
If the shot kills the bird, it might fall from the tree, so it's no longer in the tree.
|
||||
|
||||
Then, the other nine might be scared and fly away.
|
||||
|
||||
But the riddle doesn't say that the shot scares the birds; it just says the hunter shoots one.
|
||||
|
||||
In many versions, the key is that the shot scares the birds, so they all fly away.
|
||||
|
||||
But let's see if there's another interpretation.
|
||||
|
||||
Perhaps the birds are not real birds; maybe it's a
|
||||
--------------------------------------------------
|
||||
"""
|
||||
|
||||
~~~
|
||||
|
||||
### vLLM usage
|
||||
|
||||
~~~python
|
||||
from vllm import LLM, SamplingParams
|
||||
|
||||
prompts = [
|
||||
"Hello, my name is",
|
||||
]
|
||||
sampling_params = SamplingParams(temperature=0.8, top_p=0.95) ##change this to match official usage
|
||||
model_name = "Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound-awq-inc"
|
||||
llm = LLM(model=model_name, tensor_parallel_size=1)
|
||||
|
||||
outputs = llm.generate(prompts, sampling_params)
|
||||
|
||||
for output in outputs:
|
||||
prompt = output.prompt
|
||||
generated_text = output.outputs[0].text
|
||||
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
|
||||
|
||||
~~~
|
||||
|
||||
|
||||
### Evaluate the model
|
||||
|
||||
~~~bash
|
||||
auto-round --eval --model "Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound-inc" --eval_bs 16 --tasks leaderboard_ifeval,leaderboard_mmlu_pro,gsm8k,lambada_openai,hellaswag,piqa,winogrande,truthfulqa_mc1,openbookqa,boolq,arc_easy,arc_challenge,cmmlu,ceval-valid
|
||||
~~~
|
||||
|
||||
|
||||
|
||||
| Metric | BF16 | INT4(auto-round) | INT4 (auto-round-best) |
|
||||
| -------------------- | ------ | ---------------- | ---------------------- |
|
||||
| Avg | 0.5958 | 0.5913 | 0.5926 |
|
||||
| arc_challenge | 0.5137 | 0.5102 | 0.5043 |
|
||||
| arc_easy | 0.7908 | 0.7862 | 0.7921 |
|
||||
| boolq | 0.8498 | 0.8526 | 0.8443 |
|
||||
| ceval-valid | 0.7296 | 0.7177 | 0.7140 |
|
||||
| cmmlu | 0.7159 | 0.7029 | 0.7027 |
|
||||
| gsm8k | 0.8211 | 0.8029 | 0.8234 |
|
||||
| hellaswag | 0.5781 | 0.5703 | 0.5670 |
|
||||
| lambada_openai | 0.5544 | 0.5490 | 0.5626 |
|
||||
| leaderboard_ifeval | 0.2731 | 0.2729 | 0.2542 |
|
||||
| leaderboard_mmlu_pro | 0.4115 | 0.4105 | 0.4117 |
|
||||
| openbookqa | 0.3020 | 0.3060 | 0.3100 |
|
||||
| piqa | 0.7617 | 0.7617 | 0.7612 |
|
||||
| truthfulqa_mc1 | 0.3562 | 0.3611 | 0.3696 |
|
||||
| winogrande | 0.6835 | 0.6740 | 0.6788 |
|
||||
|
||||
|
||||
|
||||
### Reproduce the model
|
||||
|
||||
Here is the sample command to reproduce the model
|
||||
|
||||
```bash
|
||||
auto-round
|
||||
--model_name deepseek-ai/DeepSeek-R1-0528-Qwen3-8B \
|
||||
--device 0 \
|
||||
--format "auto_gptq,auto_awq,auto_round" \
|
||||
--enable_torch_compile \
|
||||
--output_dir "./tmp_autoround"
|
||||
```
|
||||
|
||||
|
||||
|
||||
## Ethical Considerations and Limitations
|
||||
|
||||
The model can produce factually incorrect output, and should not be relied on to produce factually accurate information. Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
|
||||
|
||||
Therefore, before deploying any applications of the model, developers should perform safety testing.
|
||||
|
||||
## Caveats and Recommendations
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
|
||||
|
||||
Here are a couple of useful links to learn more about Intel's AI software:
|
||||
|
||||
- Intel Neural Compressor [link](https://github.com/intel/neural-compressor)
|
||||
|
||||
## Disclaimer
|
||||
|
||||
The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please consult an attorney before using this model for commercial purposes.
|
||||
|
||||
## Cite
|
||||
|
||||
@article{cheng2023optimize, title={Optimize weight rounding via signed gradient descent for the quantization of llms}, author={Cheng, Wenhua and Zhang, Weiwei and Shen, Haihao and Cai, Yiyang and He, Xin and Lv, Kaokao and Liu, Yi}, journal={arXiv preprint arXiv:2309.05516}, year={2023} }
|
||||
|
||||
[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)
|
||||
14
chat_template.jinja
Normal file
14
chat_template.jinja
Normal file
@@ -0,0 +1,14 @@
|
||||
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '
|
||||
|
||||
' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{% set content = message['content'] %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + content + '<｜Assistant｜>'}}{%- endif %}{%- if message['role'] == 'assistant' %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{% endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{%- endif %}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- set ns.is_output_first = true %}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if content is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
|
||||
' + '```json' + '
|
||||
' + tool['function']['arguments'] + '
|
||||
' + '```' + '<｜tool▁call▁end｜>'}}{%- else %}{{content + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
|
||||
' + '```json' + '
|
||||
' + tool['function']['arguments'] + '
|
||||
' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'
|
||||
' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
|
||||
' + '```json' + '
|
||||
' + tool['function']['arguments'] + '
|
||||
' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none)%}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + content + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'
|
||||
<｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}
|
||||
48
config.json
Normal file
48
config.json
Normal file
@@ -0,0 +1,48 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"max_position_embeddings": 131072,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"quantization_config": {
|
||||
"autoround_version": "0.5.1",
|
||||
"bits": 4,
|
||||
"data_type": "int",
|
||||
"group_size": 128,
|
||||
"modules_to_not_convert": [
|
||||
"lm_head"
|
||||
],
|
||||
"quant_method": "awq",
|
||||
"sym": true,
|
||||
"version": "gemm",
|
||||
"zero_point": false
|
||||
},
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": {
|
||||
"attn_factor": 0.8782488562869419,
|
||||
"factor": 4.0,
|
||||
"original_max_position_embeddings": 32768,
|
||||
"rope_type": "yarn"
|
||||
},
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.52.3",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "others", "allow_remote": true}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"transformers_version": "4.52.3"
|
||||
}
|
||||
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:af72c4000b602bf970633e0c079511db3931a91f21aec01bf2d6cbf65a831f12
|
||||
size 4853921768
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9bdb0a536e6049f478b10a4f5499e59882feecdba779352c353c25a344f166ac
|
||||
size 1244659840
|
||||
910
model.safetensors.index.json
Normal file
910
model.safetensors.index.json
Normal file
@@ -0,0 +1,910 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 6098479104
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00002-of-00002.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.32.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.33.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.34.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.35.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.qweight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.qzeros": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00001-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
13
quantization_config.json
Normal file
13
quantization_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bits": 4,
|
||||
"group_size": 128,
|
||||
"sym": true,
|
||||
"data_type": "int",
|
||||
"autoround_version": "0.5.1",
|
||||
"quant_method": "awq",
|
||||
"zero_point": false,
|
||||
"version": "gemm",
|
||||
"modules_to_not_convert": [
|
||||
"lm_head"
|
||||
]
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"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 sha256:93d5fd6d2f8cf1172ac86cf982e2b88fa6732366b44dc1a32349379a54a6a044
|
||||
size 11423346
|
||||
242
tokenizer_config.json
Normal file
242
tokenizer_config.json
Normal file
@@ -0,0 +1,242 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"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": "<｜end▁of▁sentence｜>",
|
||||
"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
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151669": {
|
||||
"content": "<｜User｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151670": {
|
||||
"content": "<｜Assistant｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<｜end▁of▁sentence｜>",
|
||||
"extra_special_tokens": {},
|
||||
"legacy": true,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<｜end▁of▁sentence｜>",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"unk_token": null,
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user