From f44cb19cb2aeca16051b206d0de0ec1e9f5024bf Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 7 Jul 2026 20:44:11 +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: quangdung/Qwen2.5-7B-Math-Distill-Sens Source: Original Platform --- .gitattributes | 36 ++++++++++++ README.md | 128 +++++++++++++++++++++++++++++++++++++++++ chat_template.jinja | 54 +++++++++++++++++ config.json | 62 ++++++++++++++++++++ generation_config.json | 7 +++ model.safetensors | 3 + tokenizer.json | 3 + tokenizer_config.json | 29 ++++++++++ 8 files changed, 322 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.safetensors create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json 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 filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.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..02ed1e0 --- /dev/null +++ b/README.md @@ -0,0 +1,128 @@ +--- +license: apache-2.0 + +language: + - en + +base_model: + - deepseek-ai/DeepSeek-R1-Distill-Qwen-7B + - Qwen/Qwen2.5-Math-7B + +tags: + - merge + - sens-merging + - math + - reasoning + - qwen2.5 + - deepseek-r1 + +pipeline_tag: text-generation +--- + +# Qwen2.5-Math-DeepSeekR1-Sens-7B + +A 7B merged model created by applying Sensitivity-aware Model Merging (Sens Merging) to: + +- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B +- Qwen/Qwen2.5-Math-7B + +The goal of this model is to preserve the strong mathematical reasoning ability of DeepSeek-R1-Distill while significantly reducing reasoning verbosity and output token length. + +--- + +## Highlights + +- Average accuracy: 66.9% +- Average output tokens: 701 +- Output tokens reduced by 75.2% compared to DeepSeek-R1-Distill-Qwen-7B +- Only 2.5 points lower average accuracy than DeepSeek-R1-Distill-Qwen-7B + +This model provides an attractive trade-off between reasoning quality and inference cost. + +--- + +## Base Models + +| Model | Avg Accuracy | Avg Tokens | +|-----------------------------|-------------:|-----------:| +| DeepSeek-R1-Distill-Qwen-7B | 69.4 | 2826 | +| Qwen2.5-Math-7B | 45.3 | 755 | +| Sens Merge (λ=0.4) | 66.9 | 701 | + +--- + +## Benchmark Results + +| Benchmark | Distill | Qwen2.5-Math | Sens Merge (λ=0.4) | +|----------------|--------:|-------------:|--------------------:| +| College Math | 66.0 | 37.9 | 70.4 | +| GSM8K | 90.2 | 84.5 | 90.6 | +| MATH | 94.4 | 73.3 | 90.2 | +| Minerva Math | 41.5 | 13.6 | 36.0 | +| OlympiadBench | 55.0 | 17.3 | 47.2 | +| Avg Accuracy | 69.4 | 45.3 | 66.9 | +| Avg Tokens | 2826 | 755 | 701 | + +--- + +## Motivation + +Large reasoning models such as DeepSeek-R1-Distill often produce long chains of thought, which increases inference cost. + +This model explores whether model merging can reduce reasoning verbosity without requiring additional training. + +By merging a reasoning model (DeepSeek-R1-Distill-Qwen-7B) with a compact mathematical model (Qwen2.5-Math-7B) using Sensitivity-aware Model Merging, the merged model: + +- Maintains competitive reasoning performance +- Produces significantly shorter outputs +- Requires no gradient-based fine-tuning +- Uses only a small calibration dataset + +--- + +## Comparison with DPO + +We additionally compared Sens Merging with a DPO-trained model: + +| Model | Avg Accuracy | Avg Tokens | +|-----------------------------|-------------:|-----------:| +| DeepSeek-R1-Distill-Qwen-7B | 69.4 | 2826 | +| DPO | 68.55 | 2402 | +| Sens Merge (λ=0.4) | 66.9 | 701 | + +Sens Merging achieves a much larger reduction in output length while remaining competitive in accuracy. + +--- + +## Usage + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM + +model_name = "quangdung/Qwen2.5-Math-DeepSeekR1-Sens-7B" + +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) + +prompt = "Solve: If x^2 + 5x + 6 = 0, find x." + +messages = [{"role": "user", "content": prompt}] + +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) + +inputs = tokenizer(text, return_tensors="pt").to(model.device) + +outputs = model.generate( + **inputs, + max_new_tokens=512 +) + +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..11f6d32 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'Please reason step by step, and put your final answer within \\boxed{}.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..af48237 --- /dev/null +++ b/config.json @@ -0,0 +1,62 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 3584, + "initializer_range": 0.02, + "intermediate_size": 18944, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 4096, + "max_window_layers": 28, + "model_type": "qwen2", + "num_attention_heads": 28, + "num_hidden_layers": 28, + "num_key_value_heads": 4, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.5.4", + "use_cache": true, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 152064 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..d432e8b --- /dev/null +++ b/generation_config.json @@ -0,0 +1,7 @@ +{ + "bos_token_id": 151643, + "do_sample": false, + "eos_token_id": 151643, + "max_new_tokens": 2048, + "transformers_version": "5.5.4" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..fd91db3 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9c8685245e89d40805ff6eda9ba04fb0269d153d529961d712e41b4bad86ffa +size 15231272152 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..34510ff --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8 +size 11421892 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..1ce8d7b --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,29 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "errors": "replace", + "extra_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "is_local": true, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +}