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  1. README.md +106 -3
  2. adapters/category_holdout/rl/0000100_adapters.safetensors +3 -0
  3. adapters/category_holdout/rl/adapter_config.json +40 -0
  4. adapters/category_holdout/rl/adapters.safetensors +3 -0
  5. adapters/category_holdout/sft/0000100_adapters.safetensors +3 -0
  6. adapters/category_holdout/sft/0000200_adapters.safetensors +3 -0
  7. adapters/category_holdout/sft/0000300_adapters.safetensors +3 -0
  8. adapters/category_holdout/sft/adapter_config.json +40 -0
  9. adapters/category_holdout/sft/adapters.safetensors +3 -0
  10. adapters/diversity/high_diversity/0000100_adapters.safetensors +3 -0
  11. adapters/diversity/high_diversity/0000200_adapters.safetensors +3 -0
  12. adapters/diversity/high_diversity/0000300_adapters.safetensors +3 -0
  13. adapters/diversity/high_diversity/adapter_config.json +40 -0
  14. adapters/diversity/high_diversity/adapters.safetensors +3 -0
  15. adapters/diversity/low_diversity/0000100_adapters.safetensors +3 -0
  16. adapters/diversity/low_diversity/0000200_adapters.safetensors +3 -0
  17. adapters/diversity/low_diversity/0000300_adapters.safetensors +3 -0
  18. adapters/diversity/low_diversity/adapter_config.json +40 -0
  19. adapters/diversity/low_diversity/adapters.safetensors +3 -0
  20. adapters/sft/0000300_adapters.safetensors +3 -0
  21. adapters/sft/adapter_config.json +40 -0
  22. adapters/sft/adapters.safetensors +3 -0
  23. adapters/sft_dpo/0000300_adapters.safetensors +3 -0
  24. adapters/sft_dpo/adapter_config.json +40 -0
  25. adapters/sft_dpo/adapters.safetensors +3 -0
  26. adapters/sft_rl/0000300_adapters.safetensors +3 -0
  27. adapters/sft_rl/adapter_config.json +40 -0
  28. adapters/sft_rl/adapters.safetensors +3 -0
  29. adapters/tool_generalization/rl/0000100_adapters.safetensors +3 -0
  30. adapters/tool_generalization/rl/adapter_config.json +40 -0
  31. adapters/tool_generalization/rl/adapters.safetensors +3 -0
  32. adapters/tool_generalization/sft/0000100_adapters.safetensors +3 -0
  33. adapters/tool_generalization/sft/0000200_adapters.safetensors +3 -0
  34. adapters/tool_generalization/sft/0000300_adapters.safetensors +3 -0
  35. adapters/tool_generalization/sft/adapter_config.json +40 -0
  36. adapters/tool_generalization/sft/adapters.safetensors +3 -0
README.md CHANGED
@@ -1,3 +1,106 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ tags:
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+ - tool-calling
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+ - function-calling
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+ - fine-tuning
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+ - lora
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+ datasets:
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+ - gorilla-llm/berkeley-function-call-leaderboard
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+ base_model: Qwen/Qwen2.5-1.5B-Instruct
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+ ---
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+
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+ # Tool Calling LoRA Adapters
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+
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+ LoRA adapters for improving LLM tool calling, trained as part of the research paper "What Actually Improves LLM Tool Calling?"
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+
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+ ## Model Description
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+
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+ These are LoRA adapters (rank 8, alpha 16) trained on top of `Qwen2.5-1.5B-Instruct` for function calling tasks using the Berkeley Function Calling Leaderboard (BFCL) dataset.
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+
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+ ## Key Findings
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+
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+ Our ablation study found that:
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+
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+ - **SFT provides +47 points** accuracy improvement (9.7% → 57%)
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+ - **DPO and RL add <1 point** when applied post-SFT
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+ - **Training data diversity matters more than quantity**: 500 diverse examples outperform 500 homogeneous examples by 26 points
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+ - **Tool generalization works well** (79% on unseen tools) but **pattern generalization is harder** (42% on unseen patterns)
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+
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+ ## Available Adapters
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+
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+ | Adapter | Description | Accuracy |
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+ |---------|-------------|----------|
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+ | `sft/` | SFT on diverse BFCL data | 57.0% |
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+ | `sft_dpo/` | SFT + DPO preference tuning | 57.7% |
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+ | `sft_rl/` | SFT + reward-filtered RL | 58.0% |
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+ | `tool_generalization/sft/` | SFT for unseen tools experiment | 79% on held-out tools |
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+ | `category_holdout/sft/` | SFT for pattern generalization | 42% on held-out patterns |
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+ | `diversity/high_diversity/` | Diverse training (125 x 4 categories) | 53% |
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+ | `diversity/low_diversity/` | Homogeneous training (500 simple) | 27% |
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+
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+ ## Usage
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ # Load base model with SFT adapter
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+ model, tokenizer = load(
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+ "mlx-community/Qwen2.5-1.5B-Instruct-4bit",
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+ adapter_path="path/to/sft"
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+ )
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+
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+ # Format your prompt with function definitions
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+ messages = [
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+ {"role": "system", "content": "You are a helpful assistant with access to functions..."},
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+ {"role": "user", "content": "What's the weather in Paris?"}
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+ ]
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+
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ output = generate(model, tokenizer, prompt=prompt, max_tokens=256)
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+ print(output)
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+ # Output: {"name": "get_weather", "arguments": {"city": "Paris"}}
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+ ```
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+
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+ ## Training Details
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+
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+ - **Base model**: Qwen2.5-1.5B-Instruct (4-bit quantization)
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+ - **LoRA config**: rank=8, alpha=16
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+ - **Training**: 300 iterations, learning rate 1e-5
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+ - **Framework**: MLX on Apple Silicon
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+ - **Data**: Berkeley Function Calling Leaderboard (BFCL)
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+
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+ ## Call Pattern Categories
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+
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+ The BFCL benchmark includes four call pattern categories:
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+
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+ 1. **Simple**: Single function call (e.g., `get_weather(city="Paris")`)
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+ 2. **Multiple**: Sequential calls where later calls depend on earlier results
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+ 3. **Parallel**: Independent concurrent calls
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+ 4. **Parallel-multiple**: Combinations requiring both parallel and sequential structure
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+
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+ ## Recommendations
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+
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+ Based on our research:
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+
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+ 1. **Use SFT with diverse training data** - this provides nearly all achievable gains
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+ 2. **Prioritize pattern diversity over tool coverage** - models generalize well to new tools but struggle with new patterns
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+ 3. **Skip complex pipelines** - DPO, RL, and scaffolding provide minimal benefit in our setting
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{ramakrishnan2024toolcalling,
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+ title={What Actually Improves LLM Tool Calling?},
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+ author={Ramakrishnan, Siddharth},
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+ year={2024}
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+ }
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+ ```
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+
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+ ## Links
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+
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+ - [Paper PDF](#)
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+ - [GitHub Repository](#)
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+ - [BFCL Dataset](https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard)
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