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35.6
TFLOPS
Nick Perez
nkpz
6
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Mjsky's profile picture
AbdurRahman11's profile picture
jtabox's profile picture
41 followers
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10 following
AI & ML interests
Open source LLM stuff.
Recent Activity
liked
a model
24 days ago
Sourajit123/SouraTTS
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codelion
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about 1 year ago
I recently worked on a LoRA that improves tool use in LLM. Thought the approach might interest folks here. The issue I have had when trying to use some of the local LLMs with coding agents is this: Me: "Find all API endpoints with authentication in this codebase" LLM: "You should look for @app.route decorators and check if they have auth middleware..." But I often want it to search the files and show me but the LLM doesn't trigger a tool use call. To fine-tune it for tool use I combined two data sources: 1. Magpie scenarios - 5000+ diverse tasks (bug hunting, refactoring, security audits) 2. Real execution - Ran these on actual repos (FastAPI, Django, React) to get authentic tool responses This ensures the model learns both breadth (many scenarios) and depth (real tool behavior). Tools We Taught: - `read_file` - Actually read file contents - `search_files` - Regex/pattern search across codebases - `find_definition` - Locate classes/functions - `analyze_imports` - Dependency tracking - `list_directory` - Explore structure - `run_tests` - Execute test suites Improvements: - Tool calling accuracy: 12% → 80% - Correct parameters: 8% → 87% - Multi-step tasks: 3% → 78% - End-to-end completion: 5% → 80% - Tools per task: 0.2 → 3.8 The LoRA really improves on intential tool call as an example consider the query: "Find ValueError in payment module" The response proceeds as follows: 1. Calls `search_files` with pattern "ValueError" 2. Gets 4 matches across 3 files 3. Calls `read_file` on each match 4. Analyzes context 5. Reports: "Found 3 ValueError instances: payment/processor.py:47 for invalid amount, payment/validator.py:23 for unsupported currency..." Resources: - Colab notebook https://colab.research.google.com/github/codelion/ellora/blob/main/Ellora_Recipe_3_Enhanced_Tool_Calling_and_Code_Understanding.ipynb - Model - https://huggingface.co/codelion/Llama-3.2-1B-Instruct-tool-calling-lora - GitHub - https://github.com/codelion/ellora
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Edens-Gate/Humanize-Rei-Slerp
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nkpz/T3Q-qwen2.5-14b-v1.0-e3-Uncensored-DeLMAT
15B
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Mar 16, 2025
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nkpz/Lix-14B-v0.1-Uncensored-DeLMAT
15B
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Mar 9, 2025
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nkpz/Llama-3.1-8B-Instruct-Uncensored-DeLMAT
8B
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Mar 3, 2025
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24
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nkpz/Qwen2.5-Dyanka-7B-Preview-Uncensored-DeLMAT
8B
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Mar 2, 2025
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nkpz/Gemma-Bloom-2-9B-it-Uncensored-DeLMAT
9B
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Feb 23, 2025
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15
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nkpz/gemma-2-Ifable-9B-Uncensored-DeLMAT
9B
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Feb 22, 2025
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23
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nkpz/gemma-2-9b-it-Uncensored-DeLMAT
9B
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Feb 22, 2025
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14
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nkpz/Megatron-Opus-7B-Exp-Uncensored-DeLMAT
7B
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Feb 22, 2025
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12
nkpz/Fino1-8B-Uncensored-DeLMAT
8B
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Feb 21, 2025
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23
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nkpz/Reverb-7b-Uncensored-DeLMAT
8B
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Feb 21, 2025
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21
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