From 0b7861c17f1adba3bbd3d2abf7a42886c46698d4 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 12 Jun 2026 14:57:16 +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/Llama-3.2-3B-Instruct-sft-without-thoughts Source: Original Platform --- .gitattributes | 36 +++++++++++++ README.md | 113 +++++++++++++++++++++++++++++++++++++++++ chat_template.jinja | 93 +++++++++++++++++++++++++++++++++ config.json | 40 +++++++++++++++ generation_config.json | 5 ++ model.safetensors | 3 ++ tokenizer.json | 3 ++ tokenizer_config.json | 14 +++++ 8 files changed, 307 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..8a6f5bc --- /dev/null +++ b/README.md @@ -0,0 +1,113 @@ +--- +base_model: meta-llama/Llama-3.2-3B-Instruct +library_name: transformers +license: llama3.2 +pipeline_tag: text-generation +tags: +- sft +- scientific-reasoning +- instruction-tuning +- open-instruct +--- + +# Divij/Llama-3.2-3B-Instruct-sft-without-thoughts + +Supervised fine-tune of [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-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** | **1.988** | + +The chat template is inherited from the base model +(`meta-llama/Llama-3.2-3B-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/Llama-3.2-3B-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/Llama-3.2-3B-Instruct-sft-with-thoughts`](https://huggingface.co/Divij/Llama-3.2-3B-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..1bad6a0 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..f0bd506 --- /dev/null +++ b/config.json @@ -0,0 +1,40 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "dtype": "bfloat16", + "eos_token_id": [ + 128001, + 128008, + 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": null, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_parameters": { + "factor": 32.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_theta": 500000.0, + "rope_type": "llama3" + }, + "tie_word_embeddings": true, + "transformers_version": "5.5.3", + "use_cache": true, + "vocab_size": 128264 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..431ed0b --- /dev/null +++ b/generation_config.json @@ -0,0 +1,5 @@ +{ + "bos_token_id": 128000, + "eos_token_id": 128009, + "transformers_version": "5.5.3" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..8d51245 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:13053e28d02986ea36192d6dca6b620433eb7b3da846155d35485c8601168ec1 +size 7213632392 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..548e7b1 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9400df98529060210393c40f08cb127f7c0df584338b3fbfdba8cf82a33c1ade +size 17210102 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..ce38b54 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,14 @@ +{ + "backend": "tokenizers", + "bos_token": "<|begin_of_text|>", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "is_local": false, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "", + "tokenizer_class": "TokenizersBackend" +}