From 65f42eca8e8f275214dece56bd14f74093dd8a95 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 12 Jun 2026 18:18:16 +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: Divij/Qwen2.5-3B-Instruct-sft-without-thoughts Source: Original Platform --- .gitattributes | 36 +++++++++++++ README.md | 113 +++++++++++++++++++++++++++++++++++++++++ chat_template.jinja | 54 ++++++++++++++++++++ config.json | 69 +++++++++++++++++++++++++ generation_config.json | 4 ++ model.safetensors | 3 ++ tokenizer.json | 3 ++ tokenizer_config.json | 29 +++++++++++ 8 files changed, 311 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..8ea8bc3 --- /dev/null +++ b/README.md @@ -0,0 +1,113 @@ +--- +base_model: Qwen/Qwen2.5-3B-Instruct +library_name: transformers +license: other +pipeline_tag: text-generation +tags: +- sft +- scientific-reasoning +- instruction-tuning +- open-instruct +--- + +# Divij/Qwen2.5-3B-Instruct-sft-without-thoughts + +Supervised fine-tune of [`Qwen/Qwen2.5-3B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on a scientific-methodology +instruction dataset, where each assistant response is a plain step-by-step research methodology. + +The project goal is to compare whether including explicit `` reasoning +traces alongside each `` action during SFT produces stronger scientific-methodology +generators than training on step-only plans. + +## Variant + +This checkpoint is the **without-thoughts** variant: +The assistant target is only `...` ... `...` — the reasoning traces are excluded. Trained with `max_seq_length=2048`. + +## Training data + +- Source: `sft_without_thoughts.jsonl` from the `verl_scientific_discovery` + repeated-sampling pipeline. +- 4,990 `messages`-format examples (`system` + `user` + `assistant`). +- Each assistant response is a step-by-step research methodology for a given + `Research Goal` + `Constraints` prompt. + +## Training setup + +- **Framework:** [open-instruct](https://github.com/allenai/open-instruct) `finetune.py` (accelerate + FSDP2). +- **Hardware:** 2× NVIDIA H100 NVL (96 GB). +- **Precision:** bf16 mixed precision. +- **Attention:** FlashAttention-2. +- **Memory:** gradient checkpointing enabled. + +### Hyperparameters + +| | | +|---|---| +| `max_seq_length` | **2048** | +| `num_train_epochs` | 3 | +| `per_device_train_batch_size` | 1 | +| `gradient_accumulation_steps` | 8 | +| Effective batch size | 16 (1 × 2 GPU × 8 accum) | +| `learning_rate` | 2e-5 | +| `lr_scheduler_type` | linear | +| `warmup_ratio` | 0.03 | +| `weight_decay` | 0.0 | +| `seed` | 42 | +| Optimizer | fused AdamW | +| Total optimization steps | 936 | +| **Final training loss** | **2.054** | + +The chat template is inherited from the base model +(`Qwen/Qwen2.5-3B-Instruct`). Labels are masked on the `system` and +`user` turns so only the assistant response contributes to the loss +(open-instruct's `sft_tulu_tokenize_and_truncate_v1` transform). + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +repo = "Divij/Qwen2.5-3B-Instruct-sft-without-thoughts" +tokenizer = AutoTokenizer.from_pretrained(repo) +model = AutoModelForCausalLM.from_pretrained( + repo, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +messages = [ + {"role": "system", "content": "Given a research goal and constraints, provide a step-by-step methodology.\n\nFormat:\n...\n..."}, + {"role": "user", "content": ( + "You are given a scientific research problem.\n\n" + "Research Goal:\n\n\n" + "Constraints:\n1) \n2) " + )}, +] + +inputs = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + return_tensors="pt", +).to(model.device) + +output = model.generate( + inputs, + max_new_tokens=1024, + do_sample=True, + temperature=0.7, + top_p=0.9, +) +print(tokenizer.decode(output[0][inputs.shape[-1]:], skip_special_tokens=True)) +``` + +## Notes + +- **Context length.** Use `max_seq_length` ≥ **2048** at inference time to match + the training regime; generations longer than this were not seen during training. +- **Intended use.** Research artifact for generating structured scientific research + plans. Not aligned for general-purpose chat or safety-critical use. +- **Compared to sibling.** A matching **with-thoughts** checkpoint at + [`Divij/Qwen2.5-3B-Instruct-sft-with-thoughts`](https://huggingface.co/Divij/Qwen2.5-3B-Instruct-sft-with-thoughts) is trained on + the same data but with the opposite treatment of reasoning traces. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /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 %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- 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\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|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..ccd0002 --- /dev/null +++ b/config.json @@ -0,0 +1,69 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 11008, + "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", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 32768, + "max_window_layers": 70, + "model_type": "qwen2", + "num_attention_heads": 16, + "num_hidden_layers": 36, + "num_key_value_heads": 2, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000.0, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..a4574ed --- /dev/null +++ b/generation_config.json @@ -0,0 +1,4 @@ +{ + "eos_token_id": 151645, + "transformers_version": "5.5.3" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..dc207a1 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6208112a71a24d2cac3e527c9c9138250c968d1f8d864cf974a68214a741b662 +size 6794257120 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..7d75d3b --- /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": "<|im_end|>", + "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": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +}