Supported self-hosted models and hardware requirements

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History

The following table shows the supported models along with their specific features and hardware requirements to help you select the model that best fits your infrastructure needs for optimal performance.

Approved LLMs

Install one of the following GitLab-approved LLM models:

Model family Model Code completion Code generation GitLab Duo Chat
Mistral Codestral 22B Yes Yes No
Mistral Mistral 7B Yes No No
Mistral Mistral 7B-it Yes Yes Yes
Mistral Mixtral 8x7B Yes No No
Mistral Mixtral 8x7B-it Yes Yes Yes
Mistral Mixtral 8x22B Yes No No
Mistral Mixtral 8x22B-it Yes Yes Yes
Claude 3 Claude 3.5 Sonnet Yes Yes Yes
GPT GPT-3.5-Turbo Yes Yes No
GPT GPT-4 Turbo Yes Yes No
GPT GPT-4o Yes Yes No
GPT GPT-4o-mini Yes Yes No

The following models are under evaluation, and support is limited:

Model family Model Code completion Code generation GitLab Duo Chat
CodeGemma CodeGemma 2b Yes No No
CodeGemma CodeGemma 7b-it No Yes No
CodeGemma CodeGemma 7b-code Yes No No
CodeLlama Code-Llama 13b-code Yes No No
CodeLlama Code-Llama 13b No Yes No
DeepSeekCoder DeepSeek Coder 33b Instruct Yes Yes No
DeepSeekCoder DeepSeek Coder 33b Base Yes No No

Hardware Requirements

For optimal performance, the following hardware specifications are recommended as baselines for hosting these models. Hosting requirements may vary depending model to model, so we recommend checking model vendor documentation as well:

  • CPU: Minimum 8 cores (16 threads recommended).
  • RAM: At least 32 GB (64 GB or more recommended for larger models).
  • GPU:
    • Minimum: 2x NVIDIA A100 or equivalent for optimal inference performance.
    • Note: For running Mixtral 8x22B and Mixtral 8x22B-it, it is recommended to use 8x NVIDIA A100 GPUs.
  • Storage: SSD with sufficient space for model weights and data.