diff --git a/.gitattributes b/.gitattributes index 53d7257..21b3632 100644 --- a/.gitattributes +++ b/.gitattributes @@ -44,4 +44,6 @@ saved_model/**/* 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 \ No newline at end of file +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md index 1054a21..35b3028 100644 --- a/README.md +++ b/README.md @@ -1,47 +1,301 @@ --- -license: Apache License 2.0 - -#model-type: -##如 gpt、phi、llama、chatglm、baichuan 等 -#- gpt - -#domain: -##如 nlp、cv、audio、multi-modal -#- nlp - -#language: -##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa -#- cn - -#metrics: -##如 CIDEr、Blue、ROUGE 等 -#- CIDEr - -#tags: -##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他 -#- pretrained - -#tools: -##如 vllm、fastchat、llamacpp、AdaSeq 等 -#- vllm +language: +- en +license: mit +library_name: transformers +tags: +- reasoning +- axolotl +- r1 +base_model: +- meta-llama/Llama-3.2-3B-Instruct +datasets: +- ServiceNow-AI/R1-Distill-SFT +pipeline_tag: text-generation +model-index: +- name: DeepSeek-R1-Distill-Llama-3B + results: + - task: + type: text-generation + name: Text Generation + dataset: + name: IFEval (0-Shot) + type: HuggingFaceH4/ifeval + args: + num_few_shot: 0 + metrics: + - type: inst_level_strict_acc and prompt_level_strict_acc + value: 70.93 + name: strict accuracy + source: + url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: BBH (3-Shot) + type: BBH + args: + num_few_shot: 3 + metrics: + - type: acc_norm + value: 21.45 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: MATH Lvl 5 (4-Shot) + type: hendrycks/competition_math + args: + num_few_shot: 4 + metrics: + - type: exact_match + value: 20.92 + name: exact match + source: + url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: GPQA (0-shot) + type: Idavidrein/gpqa + args: + num_few_shot: 0 + metrics: + - type: acc_norm + value: 1.45 + name: acc_norm + source: + url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B + name: Open LLM Leaderboard + - task: + 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 + source: + url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/DeepSeek-R1-Distill-Llama-3B + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: MMLU-PRO (5-shot) + type: TIGER-Lab/MMLU-Pro + config: main + split: test + args: + num_few_shot: 5 + 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 + name: Open LLM Leaderboard --- -### 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。 -#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型 -SDK下载 -```bash -#安装ModelScope -pip install modelscope +# DeepSeek-R1-Distill-Llama-3B + +This model is the distilled version of DeepSeek-R1 on Llama-3.2-3B with R1-Distill-SFT dataset. + +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) + +
See axolotl config + +```yaml +base_model: unsloth/Llama-3.2-3B-Instruct +model_type: AutoModelForCausalLM +tokenizer_type: AutoTokenizer + +load_in_8bit: true +load_in_4bit: false +strict: false + +chat_template: llama3 +datasets: + - path: ./custom_dataset.json + type: chat_template + conversation: chatml + ds_type: json + +add_bos_token: true +add_eos_token: true +use_default_system_prompt: false + +special_tokens: + bos_token: "<|begin_of_text|>" + eos_token: "<|eot_id|>" + pad_token: "<|eot_id|>" + additional_special_tokens: + - "<|begin_of_text|>" + - "<|eot_id|>" + +adapter: lora +lora_model_dir: +lora_r: 16 +lora_alpha: 32 +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 +warmup_steps: 100 +saves_per_epoch: 1 + +output_dir: ./finetune-sft-results +save_safetensors: true ``` -```python -#SDK模型下载 -from modelscope import snapshot_download -model_dir = snapshot_download('suayptalha/DeepSeek-R1-Distill-Llama-3B') +

+ +# Prompt Template + +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 +<|start_header_id|>system<|end_header_id|> +{system}<|eot_id|> + +<|start_header_id|>user<|end_header_id|> +{user}<|eot_id|> + +<|start_header_id|>assistant<|end_header_id|> +{assistant}<|eot_id|> ``` -

如果您是本模型的贡献者，我们邀请您根据模型贡献文档，及时完善模型卡片内容。

\ No newline at end of file +## Example usage: + +```py +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +model = AutoModelForCausalLM.from_pretrained( + "suayptalha/DeepSeek-R1-Distill-Llama-3B", + device_map="auto" +) + +tokenizer = AutoTokenizer.from_pretrained("suayptalha/DeepSeek-R1-Distill-Llama-3B") + +SYSTEM_PROMPT = """Respond in the following format: + +You should reason between these tags. + + +Answer goes here... + +Always use tags even if they are not necessary. +""" + +messages = [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "user", "content": "Which one is larger? 9.11 or 9.9?"}, +] +inputs = tokenizer.apply_chat_template( + messages, + tokenize = True, + add_generation_prompt = True, + return_tensors = "pt", +).to("cuda") +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) +print(decoded_output) +``` + +## Output: +``` + +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. + + +To determine which number is larger, let's compare the two numbers: + +**9.11** and **9.9** + +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**. +``` + + +## Suggested system prompt: +``` +Respond in the following format: + +You should reason between these tags. + + +Answer goes here... + +Always use 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 + +Buy Me A Coffee \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..f30624a --- /dev/null +++ b/config.json @@ -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, + 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