Instructions to use beatsprom/agentic-tool-use-qwen-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beatsprom/agentic-tool-use-qwen-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "beatsprom/agentic-tool-use-qwen-7b-lora") - Notebooks
- Google Colab
- Kaggle
Qwen2.5-Coder-7B-Agentic-Tool-Use-LoRA
Fine-tuned adapter using the Agentic Tool-Use & Function Calling Suite (2026).
Capabilities
- Native Model Context Protocol (MCP) server & client orchestration.
- Zero hallucination on function signatures and tool schema validation.
- End-to-end mission-critical systems programming with strict error boundaries.
Base Model
Trained on top of Qwen/Qwen2.5-Coder-7B-Instruct. Compatible with vLLM, SGLang, and Ollama.
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