Meta

Code Llama 13B Instruct

13B code model for complex tasks. iPad Pro recommended.

13B parametersllamallama216K context7.83GB - 7.83GB VRAM

About This Model

Code Llama 13B Instruct by Meta is a powerful 13 billion parameter model designed specifically for code generation and instruction-following tasks. This model excels in generating high-quality, contextually relevant code snippets across various programming languages, making it an excellent choice for developers and software engineers who need to automate coding tasks or generate boilerplate code quickly. With a context length of 16384 tokens, it can handle complex and lengthy codebases, ensuring that the generated code remains coherent and contextually accurate.

Compared to other models in its size class, Code Llama 13B Instruct punches well above its weight. It offers a balance between performance and efficiency, making it a strong contender for those who need robust code generation capabilities without the need for extremely high-end hardware. The model's quantization options, such as Q4_K_M, further enhance its efficiency, allowing it to run smoothly on systems with as little as 7.8 GB of VRAM. This makes it accessible to a wide range of users, from hobbyists with mid-range GPUs to professionals with more powerful setups. Ideal users include developers looking to speed up their coding process, researchers working on code-related projects, and anyone who needs to generate or modify code efficiently.

Check Your Hardware

See which quantizations of Code Llama 13B Instruct your hardware can run.

Quantization Options

QuantizationBitsFile SizeVRAM NeededRAM NeededQuality
Q4_K_M4.57.326 GB7.83 GB8.33 GB
85%

See It In Action

Real model outputs generated via RunThisModel.com — watch responses stream in real time.

Llama 3.3 70B responding...

Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.

Frequently Asked Questions

How much VRAM do I need to run Code Llama 13B Instruct?

Code Llama 13B Instruct requires 7.83GB VRAM minimum with Q4_K_M quantization. For full precision, you need 7.83GB VRAM.

What is the best quantization for Code Llama 13B Instruct?

Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.