Codellama 13B Instruct - Details

Codellama 13B Instruct is a large language model developed by Code Llama, a company specializing in coding tasks. It features 13b parameters, making it suitable for complex programming challenges. The model operates under the Llama 2 Community License Agreement (LLAMA-2-CLA) and the Llama Code Acceptable Use Policy (Llama-CODE-AUP), ensuring responsible usage. Designed for Python coding tasks, it provides precise and context-aware assistance for developers.

Codellama 13B Instruct is part of a suite of generative text models ranging from 7 billion to 34 billion parameters, designed for code synthesis and understanding. It includes specialized variants such as Code Llama (base) for general coding, Code Llama - Python for Python-specific tasks, and Code Llama - Instruct for instruction-following and safer deployment. These models are pretrained and fine-tuned to enhance performance in programming contexts, offering scalable solutions for developers and researchers.

Codellama 13B Instruct has a parameter size of 13b, placing it in the mid-scale category, which offers balanced performance for moderate complexity tasks. Its context length of 100k tokens falls into the long context range, enabling efficient handling of extended texts but requiring significant computational resources. This combination allows the model to manage intricate coding tasks while maintaining responsiveness.

• Parameter_Size: 13b
• Context_Length: 100k

Codellama 13B Instruct is a model designed for code completion, infilling, instruction following, Python specialist tasks, and general code synthesis and understanding, with possible applications in areas like software development, scripting, and algorithm design. Its possible uses could include assisting with code generation, debugging, or explaining programming concepts, though these possible applications require thorough evaluation to ensure alignment with specific needs. The model’s focus on instruction following and Python specialist tasks suggests possible value for developers seeking tailored support, but possible limitations may arise depending on the complexity of the task. Possible uses in code synthesis and understanding could extend to educational tools or automation, though possible outcomes would depend on the context and implementation.

• code completion
• infilling
• instruction following
• python specialist tasks
• general code synthesis and understanding

Codellama 13B Instruct is a model with possible applications in areas like code generation, debugging assistance, and task automation, though these possible uses require careful validation. Its possible value for code completion and instruction following could support developers in writing and refining code, while its possible role in Python specialist tasks might aid in domain-specific programming challenges. Possible uses in general code synthesis could enable the model to assist with creating scripts or algorithms, but possible limitations may depend on the complexity of the task. Possible applications in infilling might help fill gaps in existing code, though possible outcomes would need thorough testing. Each application must be thoroughly evaluated and tested before use.

• code completion
• infilling
• instruction following
• python specialist tasks
• general code synthesis and understanding

Codellama 13B Instruct in its medium q4 version requires a GPU with at least 20GB VRAM (e.g., RTX 3090) and system memory of at least 32GB for optimal performance, balancing precision and efficiency. This configuration ensures the model can handle its 13b parameter size effectively while maintaining responsiveness.

• fp16, q2, q3, q4, q5, q6, q8

Codellama 13B Instruct is a large language model with 13b parameters and a 100k context length, designed for code synthesis, understanding, and instruction following. It supports Python specialist tasks and general code completion, with quantized versions for varied hardware requirements, making it suitable for developers seeking scalable and efficient coding assistance.

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Ollama Model Page