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