Codellama 70B - Details

Codellama 70B is a large language model developed by Code Llama, a company, featuring 70b parameters and released under the Llama 2 Community License Agreement (LLAMA-2-CLA). It is specifically fine-tuned for Python coding tasks, making it a powerful tool for developers and coding-related applications.

Code Llama is a suite of generative text models designed for code synthesis and understanding, available in scales from 7 billion to 70 billion parameters. It includes specialized variants such as Code Llama - Python for Python-specific tasks and Code Llama - Instruct for instruction-following and safer deployment. The 70 billion parameter base model is accessible via the Hugging Face Transformers format, offering flexibility for developers and researchers.

Codellama 70B is a 70b parameter model, placing it in the very large models category, which enables it to handle highly complex coding tasks but requires significant computational resources. Its 100k context length falls into the long contexts range, allowing it to process extended codebases or detailed instructions efficiently, though it demands more memory and processing power compared to smaller models. This combination makes it suitable for advanced code generation, analysis, and multi-step reasoning while requiring optimized infrastructure for deployment.
- Parameter Size: 70b
- Context Length: 100k

Codellama 70B is a large language model designed for code synthesis and understanding tasks, with possible applications in commercial and research settings involving English and programming languages. Its possible uses could include generating code snippets, analyzing complex codebases, or assisting with programming challenges. Possible scenarios might involve integrating it into development workflows, enhancing automation tools, or supporting educational platforms. However, these possible applications require further exploration to ensure alignment with specific goals and constraints. Possible benefits could arise from its ability to handle multi-step reasoning or large-scale code generation, but possible limitations may also exist depending on the context. The Code Llama - Instruct variant suggests possible uses in creating safer, more controlled code assistants. Possible deployment would depend on infrastructure and ethical considerations.
- commercial and research use in english and relevant programming languages
- code synthesis and understanding tasks
- safer code assistant and generation applications with code llama - instruct

Codellama 70B is a large language model with possible applications in areas such as code generation, code analysis, educational tools, and automation workflows. Possible uses could include assisting developers in writing or debugging code, analyzing large codebases for patterns, or supporting learning platforms through interactive coding exercises. Possible scenarios might involve integrating it into software development pipelines, enhancing code documentation processes, or enabling more efficient task automation. Possible benefits could arise from its ability to handle complex programming tasks, but these possible applications require thorough evaluation to ensure alignment with specific needs. Each possible use case must be carefully tested and validated before deployment.
- code generation
- code analysis
- educational tools
- automation workflows

Codellama 70B's medium q4 version requires a GPU with at least 16GB VRAM and 32GB system memory for optimal performance, balancing precision and efficiency. This configuration ensures smooth operation for tasks like code generation and analysis, though additional cooling and a robust power supply may be necessary. Possible applications for this version include research and commercial use, but hardware compatibility should be verified beforehand.
fp16, q2, q3, q4, q5, q6, q8

Codellama 70B is a 70B parameter large language model developed by Code Llama, released under the Llama 2 Community License Agreement, designed for code synthesis and understanding tasks with specialized variants like Code Llama - Python and Code Llama - Instruct. It supports research and commercial use in English and programming languages, featuring a 100k context length for handling extended codebases and complex reasoning.

Huggingface Model Page
Ollama Model Page