From cc2154bf616e784e3484d7c267e5182810a47820 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 8 Sep 2026 04:48:20 +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: Keitsuna123/llama-3.2-1b-fc-sft-v2-merged Source: Original Platform --- .gitattributes | 36 ++++++++++++++++ README.md | 97 ++++++++++++++++++++++++++++++++++++++++++ chat_template.jinja | 93 ++++++++++++++++++++++++++++++++++++++++ config.json | 40 +++++++++++++++++ generation_config.json | 12 ++++++ model.safetensors | 3 ++ tokenizer.json | 3 ++ tokenizer_config.json | 14 ++++++ 8 files changed, 298 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..d2ed53d --- /dev/null +++ b/README.md @@ -0,0 +1,97 @@ +--- +base_model: meta-llama/Llama-3.2-1B-Instruct +library_name: transformers +tags: +- function-calling +- tool-use +- llama +- lora +- bfcl +license: llama3.2 +language: +- en +--- + +# Llama-3.2-1B-Instruct — Function Calling (SFT on xLAM + distilabel) + +**Code & writeup:** https://github.com/keitake123/llama-function-calling-study + +Supervised fine-tune of `meta-llama/Llama-3.2-1B-Instruct` on a larger merged dataset (xLAM + Argilla distilabel). This is the **data-scaling ablation** in a four-model function-calling study — testing whether adding ~19k additional synthetic examples to xLAM improves results. + +## Results (BFCL v4) + +| Category | Base | v1 (xLAM only) | This model (v2, +distilabel) | +|---|---|---|---| +| simple_python | 75.0 | 77.5 | 79.5 | +| multiple | 50.5 | 74.0 | 77.5 | +| live_simple | 31.8 | 57.0 | 58.5 | +| live_multiple | 7.3 | 38.8 | 43.5 | +| live_relevance | 43.8 | 93.8 | 87.5 | +| live_irrelevance | 67.3 | 16.9 | 22.2 | +| irrelevance | 35.8 | 5.8 | 6.2 | +| parallel | 44.0 | 1.0 | 0.0 | +| parallel_multiple | 15.0 | 2.0 | 0.0 | + +**Finding:** Adding more (mixed-quality) data gave marginal call-required gains (+1.5 to +4.7 pts) but **did not fix the irrelevance regression** (still ~6%). Volume is not the fix for irrelevance — see the [Path B model](https://huggingface.co/Keitsuna123/llama-3.2-1b-fc-pathb) for the effective approach. Note: ~12% of the distilabel additions had malformed JSON and were filtered out during preprocessing. + +## Training details + +- **Base:** meta-llama/Llama-3.2-1B-Instruct +- **Data:** xLAM + argilla/apigen (distilabel), filtered to 45k single-call examples +- **Method:** LoRA (r=16, α=32), 1 epoch, effective batch 16, lr 2e-4 cosine, bf16 +- **Hardware:** 1× A100, ~98 min · **final eval loss:** 0.16 + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +tokenizer = AutoTokenizer.from_pretrained("Keitsuna123/llama-3.2-1b-fc-sft-v2-merged") +model = AutoModelForCausalLM.from_pretrained( + "Keitsuna123/llama-3.2-1b-fc-sft-v2-merged", torch_dtype=torch.bfloat16, device_map="auto" +) + +messages = [{"role": "user", "content": "What's the weather in Tokyo?"}] +tools = [{"type": "function", "function": { + "name": "get_weather", "description": "Get the weather for a location", + "parameters": {"type": "object", "properties": {"location": {"type": "string"}}, "required": ["location"]} +}}] + +text = tokenizer.apply_chat_template(messages, tools=tools, tokenize=False, add_generation_prompt=True) +inputs = tokenizer(text, return_tensors="pt").to(model.device) +out = model.generate(**inputs, max_new_tokens=128, do_sample=False) +print(tokenizer.decode(out[0][inputs['input_ids'].shape[1]:], skip_special_tokens=True)) +``` + +## Limitations + +- Irrelevance detection still regressed vs. base. Parallel calls near-zero (single-call training only). + +## Part of a series + +| Model | Description | +|---|---| +| [fc-sft-full](https://huggingface.co/Keitsuna123/llama-3.2-1b-fc-sft-full) | v1 SFT on xLAM | +| [fc-sft-v2-merged](https://huggingface.co/Keitsuna123/llama-3.2-1b-fc-sft-v2-merged) | SFT on xLAM + distilabel (this model) | +| [fc-grpo](https://huggingface.co/Keitsuna123/llama-3.2-1b-fc-grpo) | GRPO for irrelevance recovery (negative result) | +| [fc-pathb](https://huggingface.co/Keitsuna123/llama-3.2-1b-fc-pathb) | Supervised refusal training (effective irrelevance fix) | + +## References & Acknowledgements + +- **Base model:** Llama 3.2 (Meta AI) — [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) +- **Training data:** Salesforce xLAM — [xlam-function-calling-60k](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k); Argilla APIGen — [argilla/apigen-function-calling](https://huggingface.co/datasets/argilla/apigen-function-calling) +- **Benchmark:** Berkeley Function Calling Leaderboard (BFCL) — [Gorilla project](https://github.com/ShishirPatil/gorilla) +- **Frameworks:** HuggingFace TRL, PEFT, Transformers + +## Citation + +```bibtex +@misc{taketsuna2026_fc_smallmodel, + title = {Small-Model Function Calling: Comparing SFT, Data Scaling, GRPO, and Supervised Refusal Training}, + author = {Taketsuna, Keiichi}, + year = {2026}, + howpublished = {\url{https://huggingface.co/Keitsuna123}}, + note = {Llama-3.2-1B function-calling post-training study on BFCL v4} +} +``` \ No newline at end of file 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..13b7967 --- /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": 64, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 8192, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 16, + "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": "5.12.1", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..a9dec3c --- /dev/null +++ b/generation_config.json @@ -0,0 +1,12 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "5.12.1" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..c522527 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f43e2f805f4e474ced6ab5c2a7f290cd0ebfd91cc3609770071b1280ea79fdad +size 2471645608 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..1c1d8d5 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b +size 17209920 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..aadc141 --- /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, + "local_files_only": false, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "tokenizer_class": "TokenizersBackend" +}