---
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
  - base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
  - peft
  - lora
  - code
  - coding-assistant
---

# Coding Assistant Adapter

This repository provides a LoRA adapter for **Qwen/Qwen2.5-Coder-7B-Instruct**, developed for Python coding assistance. The adapter is intended to support code-focused questions in a repository-grounded setting.

## Model Details

- **Base model:** `Qwen/Qwen2.5-Coder-7B-Instruct`
- **Adapter type:** LoRA
- **Task type:** Causal language modeling
- **Primary use case:** Code assistance in repository-grounded settings

## Adapter Configuration

- **Rank (`r`):** 16
- **LoRA alpha:** 16
- **LoRA dropout:** 0.05
- **Target modules:** `q_proj`, `k_proj`, `v_proj`, `o_proj`

## Notes

This artifact contains the adapter weights only and is not a standalone model. It must be loaded together with the corresponding base model.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model_id = "Qwen/Qwen2.5-Coder-7B-Instruct"
adapter_path = "path/to/adapter"

tokenizer = AutoTokenizer.from_pretrained(adapter_path)
base_model = AutoModelForCausalLM.from_pretrained(base_model_id)
model = PeftModel.from_pretrained(base_model, adapter_path)
```