Local LLM model page

Mathstral (7B)

Mistral math/science specialist. Optimized for math problem solving. 56K downloads.

Parameters
7B
Minimum RAM
8 GB
Model size
4.1 GB
Quantization
Q5_K_M

Can Mathstral (7B) run locally?

Mathstral (7B) is best suited for entry-level laptops and desktops. LocalClaw recommends Q5_K_M as the default quantization, with at least 8 GB RAM.

Search term for LM Studio or compatible runtimes: mathstral-7b-v0.1

Hugging Face repository: lmstudio-community/mathstral-7B-v0.1-GGUF

reasoningstandard

Strengths

  • Mistral math/science specialist. Optimized for math problem solving. 56K downloads.

Limitations

  • Performance depends heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • reasoning
  • standard

Benchmarks

Speed: 8/10

Quality: 6/10

Coding: 5/10

Reasoning: 8/10

Technical details

Developer: mistral

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2024-07