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Leanstral 119B A6B
Current
129Downloads164LikesMar 2026Released256K tokensContextApache 2.0License84 StrongQuality
Leanstral 119B A6B (119B parameters) requires approximately 84.4 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 6.5B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 98 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Leanstral 119B A6B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mistralai/Leanstral-2603" \
--hf-file "Leanstral-2603-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters119B (6.5B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext+vision
Min RAM46.4 GB
Rec. RAM72.6 GB (Q4_K_M)
LicenseApache 2.0
FamilyMistral Small
✓ Vision✓ Code✓ Reasoning
About this model
- •119B total params with 6.5B active per token
- •Specialized for proof engineering and code-agent workflows
- •256K context with multimodal text and image input
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 46.4 GB | Low | — |
Q3_K_S | 3 | 58.3 GB | Low | — |
NVFP4 | 4 | 66.6 GB | Medium | — |
Q4_K_M | 4 | 72.6 GB | Medium | — |
Q5_K_M | 5 | 85.7 GB | High | — |
Q6_K | 6 | 97.6 GB | High | — |
Q8_0 | 8 | 127.3 GB | Very High | — |
F16 | 16 | 244.0 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights72.6 GB
KV Cache8.8 GB
Runtime2.4 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Leanstral 119B A6B
See also