From 18842194c5cd3912e8b826ac71597ca81dcb8402 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 7 Sep 2026 15:18:15 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: zbeeb/deepseek-r1-distill-qwen-14b-fast-math-r1-sft-10ep Source: Original Platform --- .gitattributes | 36 ++ README.md | 124 +++++++ chat_template.jinja | 15 + config.json | 79 +++++ generation_config.json | 12 + model-00001-of-00006.safetensors | 3 + model-00002-of-00006.safetensors | 3 + model-00003-of-00006.safetensors | 3 + model-00004-of-00006.safetensors | 3 + model-00005-of-00006.safetensors | 3 + model-00006-of-00006.safetensors | 3 + model.safetensors.index.json | 587 +++++++++++++++++++++++++++++++ special_tokens_map.json | 23 ++ tokenizer.json | 3 + tokenizer_config.json | 194 ++++++++++ training_args.bin | 3 + 16 files changed, 1094 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00006.safetensors create mode 100644 model-00002-of-00006.safetensors create mode 100644 model-00003-of-00006.safetensors create mode 100644 model-00004-of-00006.safetensors create mode 100644 model-00005-of-00006.safetensors create mode 100644 model-00006-of-00006.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 training_args.bin diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin 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merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..e24e57e --- /dev/null +++ b/README.md @@ -0,0 +1,124 @@ +--- +license: mit +base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B +datasets: +- RabotniKuma/Fast-Math-R1-SFT +language: +- en +pipeline_tag: text-generation +tags: +- deepseek-r1 +- qwen +- math +- reasoning +- supervised-fine-tuning +- full-parameter-finetune +- aimo +- long-context +library_name: transformers +--- + +# DeepSeek-R1-Distill-Qwen-14B Fast-Math-R1 SFT + +This model is a full-parameter supervised fine-tune of [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) on [RabotniKuma/Fast-Math-R1-SFT](https://huggingface.co/datasets/RabotniKuma/Fast-Math-R1-SFT). + +It is intended for math reasoning experiments where the model should show step-by-step reasoning and place the final answer inside `\boxed{}`. + +## Prompt Format + +Use this system prompt: + +```text +Please reason step by step, and put your final answer within \boxed{}. +``` + +Example chat: + +```python +messages = [ + {"role": "system", "content": "Please reason step by step, and put your final answer within \\boxed{}."}, + {"role": "user", "content": "Solve the problem here."}, +] +``` + +## Training Details + +| Item | Value | +|---|---:| +| Base model | `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B` | +| Dataset | `RabotniKuma/Fast-Math-R1-SFT` | +| Training type | Full-parameter SFT | +| GPUs used | 6 x NVIDIA H200 | +| Per-device batch size | 1 | +| Gradient accumulation | 8 | +| Effective global batch size | 48 | +| Epochs | 10 | +| Max sequence length | 24,000 tokens | +| Packing | Enabled | +| Learning rate | 1e-5 | +| Scheduler | Cosine | +| Precision | bfloat16 | +| Distributed setup | DeepSpeed ZeRO-3 | + +The target recipe was based on the Fast-Math-R1 style training flow from `analokmaus/kaggle-aimo2-fast-math-r1`, adapted for this model and dataset. + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_id = "zbeeb/deepseek-r1-distill-qwen-14b-fast-math-r1-sft-10ep" + +tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype="auto", + device_map="auto", + trust_remote_code=True, +) + +messages = [ + {"role": "system", "content": "Please reason step by step, and put your final answer within \\boxed{}."}, + {"role": "user", "content": "What is 17 * 23?"}, +] + +inputs = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + return_tensors="pt", +).to(model.device) + +outputs = model.generate( + inputs, + max_new_tokens=2048, + temperature=0.6, + top_p=0.95, + do_sample=True, +) + +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +## Intended Use + +This model is intended for: + +- Math reasoning research +- AIMO-style problem solving experiments +- Long-context supervised fine-tuning experiments +- Comparing Fast-Math-R1-style SFT against the base distilled R1 model + +## Limitations + +This model has not been independently benchmarked in this card. It may produce incorrect reasoning, malformed final answers, or answers that look plausible but are wrong. Validate outputs before using them in any setting where correctness matters. + +The training run used 24k-token sequences, but practical inference context length depends on the serving stack, GPU memory, and runtime configuration. + +## Source Models and Data + +- Base model: [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) +- Dataset: [RabotniKuma/Fast-Math-R1-SFT](https://huggingface.co/datasets/RabotniKuma/Fast-Math-R1-SFT) + +## License + +The base model is listed on Hugging Face with an MIT license. The training dataset is listed with an Apache-2.0 license. 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