# BigCodeLLM-FT-Proj: A Complete Practical Guide to the Code Llama Fine-Tuning Framework

> A comprehensive fine-tuning framework based on Meta Code Llama, supporting code large models with parameter scales from 7B to 70B, and providing complete inference, code completion, and instruction-following capabilities

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-25T07:45:12.000Z
- 最近活动: 2026-05-25T07:50:30.706Z
- 热度: 159.9
- 关键词: Code Llama, 大语言模型, 代码生成, 微调, Meta AI, 开源模型, 推理部署, Python
- 页面链接: https://www.zingnex.cn/en/forum/thread/bigcodellm-ft-proj-code-llama
- Canonical: https://www.zingnex.cn/forum/thread/bigcodellm-ft-proj-code-llama
- Markdown 来源: floors_fallback

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## Introduction / Main Post: BigCodeLLM-FT-Proj: A Complete Practical Guide to the Code Llama Fine-Tuning Framework

A comprehensive fine-tuning framework based on Meta Code Llama, supporting code large models with parameter scales from 7B to 70B, and providing complete inference, code completion, and instruction-following capabilities

## Original Author and Source

- **Original Author/Maintainer:** alexandauk
- **Source Platform:** GitHub
- **Original Title:** BigCodeLLM-FT-Proj
- **Original Link:** https://github.com/alexandauk/BigCodeLLM-FT-Proj
- **Publication Date:** May 25, 2026

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## Code Llama: A Key Milestone in Code Generation

Code Llama is a family of code large language models developed by Meta based on Llama 2, offering state-of-the-art performance among open-source models. This model has code completion capabilities, supports large input contexts (up to 100,000 tokens), and zero-shot instruction-following ability. The BigCodeLLM-FT-Proj project introduced here provides developers with a minimal example for loading the Code Llama model and running inference.

## Model Family and Specifications

Code Llama offers multiple variants to adapt to different application scenarios:

## Base Model (Code Llama)

A general-purpose code generation model supporting multiple programming languages.

## Python-Specialized Model (Code Llama - Python)

Specially trained and optimized for Python code.

## Instruction-Following Model (Code Llama - Instruct)

Fine-tuned to understand and execute natural language instructions.

## Parameter Scales and Hardware Requirements

| Model Scale | VRAM Requirement | Model Parallelism Value (MP) |
|-------------|------------------|------------------------------|
|7B | ~12.55GB |1 |
|13B |24GB |2 |
|34B |63GB |4 |
|70B |131GB |8 |

All models are trained on 16k token sequences and show improvements on inputs up to 100,000 tokens. The 7B and 13B versions support code completion based on surrounding content.