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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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334
README.md
334
README.md
@@ -1,47 +1,301 @@
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---
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||||
license: Apache License 2.0
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|
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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||||
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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||||
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#language:
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||||
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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||||
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#metrics:
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||||
##如 CIDEr、Blue、ROUGE 等
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||||
#- CIDEr
|
||||
|
||||
#tags:
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||||
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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||||
|
||||
#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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language:
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- en
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license: mit
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library_name: transformers
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tags:
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- reasoning
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||||
- axolotl
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- r1
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base_model:
|
||||
- meta-llama/Llama-3.2-3B-Instruct
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datasets:
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- ServiceNow-AI/R1-Distill-SFT
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pipeline_tag: text-generation
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model-index:
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||||
- name: DeepSeek-R1-Distill-Llama-3B
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results:
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||||
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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||||
args:
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num_few_shot: 0
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||||
metrics:
|
||||
- type: inst_level_strict_acc and prompt_level_strict_acc
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||||
value: 70.93
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||||
name: strict accuracy
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||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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||||
name: Open LLM Leaderboard
|
||||
- task:
|
||||
type: text-generation
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||||
name: Text Generation
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||||
dataset:
|
||||
name: BBH (3-Shot)
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||||
type: BBH
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||||
args:
|
||||
num_few_shot: 3
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||||
metrics:
|
||||
- type: acc_norm
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||||
value: 21.45
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||||
name: normalized accuracy
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||||
source:
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||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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||||
- task:
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type: text-generation
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name: Text Generation
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||||
dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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||||
args:
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num_few_shot: 4
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||||
metrics:
|
||||
- type: exact_match
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||||
value: 20.92
|
||||
name: exact match
|
||||
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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||||
name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
|
||||
name: Text Generation
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||||
dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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||||
args:
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num_few_shot: 0
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||||
metrics:
|
||||
- type: acc_norm
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||||
value: 1.45
|
||||
name: acc_norm
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||||
source:
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||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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||||
name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
|
||||
name: Text Generation
|
||||
dataset:
|
||||
name: MuSR (0-shot)
|
||||
type: TAUR-Lab/MuSR
|
||||
args:
|
||||
num_few_shot: 0
|
||||
metrics:
|
||||
- type: acc_norm
|
||||
value: 2.91
|
||||
name: acc_norm
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||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
|
||||
- task:
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type: text-generation
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name: Text Generation
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||||
dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
|
||||
num_few_shot: 5
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metrics:
|
||||
- type: acc
|
||||
value: 21.98
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B
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name: Open LLM Leaderboard
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||||
---
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||||
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
|
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#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
|
||||
|
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SDK下载
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||||
```bash
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#安装ModelScope
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pip install modelscope
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# DeepSeek-R1-Distill-Llama-3B
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This model is the distilled version of DeepSeek-R1 on Llama-3.2-3B with R1-Distill-SFT dataset.
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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```yaml
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base_model: unsloth/Llama-3.2-3B-Instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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||||
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load_in_8bit: true
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||||
load_in_4bit: false
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||||
strict: false
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||||
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chat_template: llama3
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||||
datasets:
|
||||
- path: ./custom_dataset.json
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type: chat_template
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conversation: chatml
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||||
ds_type: json
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||||
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add_bos_token: true
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||||
add_eos_token: true
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||||
use_default_system_prompt: false
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||||
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special_tokens:
|
||||
bos_token: "<|begin_of_text|>"
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||||
eos_token: "<|eot_id|>"
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pad_token: "<|eot_id|>"
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additional_special_tokens:
|
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- "<|begin_of_text|>"
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- "<|eot_id|>"
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||||
|
||||
adapter: lora
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||||
lora_model_dir:
|
||||
lora_r: 16
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||||
lora_alpha: 32
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||||
lora_dropout: 0.1
|
||||
lora_target_linear: true
|
||||
|
||||
hub_model_id: suayptalha/DeepSeek-R1-Distill-Llama-3B
|
||||
|
||||
sequence_len: 2048
|
||||
sample_packing: false
|
||||
pad_to_sequence_len: true
|
||||
micro_batch_size: 2
|
||||
gradient_accumulation_steps: 8
|
||||
num_epochs: 1
|
||||
learning_rate: 2e-5
|
||||
optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: false
|
||||
fp16: true
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
flash_attention: false
|
||||
|
||||
logging_steps: 50
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||||
warmup_steps: 100
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||||
saves_per_epoch: 1
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||||
|
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output_dir: ./finetune-sft-results
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||||
save_safetensors: true
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||||
```
|
||||
```python
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||||
#SDK模型下载
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||||
from modelscope import snapshot_download
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||||
model_dir = snapshot_download('suayptalha/DeepSeek-R1-Distill-Llama-3B')
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||||
</details><br>
|
||||
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||||
# Prompt Template
|
||||
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||||
You can use Llama3 prompt template while using the model:
|
||||
|
||||
### Llama3
|
||||
|
||||
```
|
||||
Git下载
|
||||
```
|
||||
#Git模型下载
|
||||
git clone https://www.modelscope.cn/suayptalha/DeepSeek-R1-Distill-Llama-3B.git
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<|start_header_id|>system<|end_header_id|>
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{system}<|eot_id|>
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<|start_header_id|>user<|end_header_id|>
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{user}<|eot_id|>
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||||
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<|start_header_id|>assistant<|end_header_id|>
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||||
{assistant}<|eot_id|>
|
||||
```
|
||||
|
||||
<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
|
||||
## Example usage:
|
||||
|
||||
```py
|
||||
import torch
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||||
from transformers import AutoModelForCausalLM, AutoTokenizer
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||||
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||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
"suayptalha/DeepSeek-R1-Distill-Llama-3B",
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||||
device_map="auto"
|
||||
)
|
||||
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||||
tokenizer = AutoTokenizer.from_pretrained("suayptalha/DeepSeek-R1-Distill-Llama-3B")
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||||
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||||
SYSTEM_PROMPT = """Respond in the following format:
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||||
<think>
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||||
You should reason between these tags.
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||||
</think>
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||||
|
||||
Answer goes here...
|
||||
|
||||
Always use <think> </think> tags even if they are not necessary.
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||||
"""
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||||
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||||
messages = [
|
||||
{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": "Which one is larger? 9.11 or 9.9?"},
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||||
]
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||||
inputs = tokenizer.apply_chat_template(
|
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messages,
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||||
tokenize = True,
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||||
add_generation_prompt = True,
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||||
return_tensors = "pt",
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||||
).to("cuda")
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||||
output = model.generate(input_ids=inputs, max_new_tokens=256, use_cache=True, temperature=0.7)
|
||||
decoded_output = tokenizer.decode(output[0], skip_special_tokens=False)
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print(decoded_output)
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```
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||||
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||||
## Output:
|
||||
```
|
||||
<think>
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||||
First, I need to compare the two numbers 9.11 and 9.9.
|
||||
|
||||
Next, I'll analyze each number. The first digit after the decimal point in 9.11 is 1, and in 9.9, it's 9.
|
||||
|
||||
Since 9 is greater than 1, 9.9 is larger than 9.11.
|
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</think>
|
||||
|
||||
To determine which number is larger, let's compare the two numbers:
|
||||
|
||||
**9.11** and **9.9**
|
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|
||||
1. **Identify the Decimal Places:**
|
||||
- Both numbers have two decimal places.
|
||||
|
||||
2. **Compare the Tens Place (Right of the Decimal Point):**
|
||||
- **9.11:** The tens place is 1.
|
||||
- **9.9:** The tens place is 9.
|
||||
|
||||
3. **Conclusion:**
|
||||
- Since 9 is greater than 1, the number with the larger tens place is 9.9.
|
||||
|
||||
**Answer:** **9.9** is larger than **9.11**.
|
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```
|
||||
|
||||
|
||||
## Suggested system prompt:
|
||||
```
|
||||
Respond in the following format:
|
||||
<think>
|
||||
You should reason between these tags.
|
||||
</think>
|
||||
|
||||
Answer goes here...
|
||||
|
||||
Always use <think> </think> tags even if they are not necessary.
|
||||
```
|
||||
|
||||
# Parameters
|
||||
- lr: 2e-5
|
||||
- epochs: 1
|
||||
- batch_size: 16
|
||||
- optimizer: paged_adamw_8bit
|
||||
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/suayptalha__DeepSeek-R1-Distill-Llama-3B-details)
|
||||
|
||||
| Metric |Value|
|
||||
|-------------------|----:|
|
||||
|Avg. |23.27|
|
||||
|IFEval (0-Shot) |70.93|
|
||||
|BBH (3-Shot) |21.45|
|
||||
|MATH Lvl 5 (4-Shot)|20.92|
|
||||
|GPQA (0-shot) | 1.45|
|
||||
|MuSR (0-shot) | 2.91|
|
||||
|MMLU-PRO (5-shot) |21.98|
|
||||
|
||||
# Support
|
||||
|
||||
<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
|
||||
38
config.json
Normal file
38
config.json
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@@ -0,0 +1,38 @@
|
||||
{
|
||||
"_name_or_path": "unsloth/Llama-3.2-3B-Instruct",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": 128009,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3072,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8192,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 24,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 128004,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 32.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.48.3",
|
||||
"unsloth_fixed": true,
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
1
configuration.json
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1
configuration.json
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@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||
14
generation_config.json
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14
generation_config.json
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@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"max_length": 131072,
|
||||
"pad_token_id": 128004,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.48.3"
|
||||
}
|
||||
3
model-00001-of-00002.safetensors
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3
model-00001-of-00002.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:6de32df039e4ff170131e70d1b408f071033e3e6b7b71ad79789437754627171
|
||||
size 135
|
||||
3
model-00002-of-00002.safetensors
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3
model-00002-of-00002.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
size 135
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261
model.safetensors.index.json
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261
model.safetensors.index.json
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@@ -0,0 +1,261 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 6425499648
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|
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"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
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|
||||
}
|
||||
}
|
||||
21
special_tokens_map.json
Normal file
21
special_tokens_map.json
Normal file
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|begin_of_text|>",
|
||||
"<|eot_id|>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|eot_id|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
||||
size 17209920
|
||||
2071
tokenizer_config.json
Normal file
2071
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user