Mistral
Leanstral 119B A6B
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99下载量157点赞Mar 2026发布日期256K tokens上下文Apache 2.0许可证84 优秀质量
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.
快速开始
— 复制粘贴即可本地运行Copy-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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最佳硬件
Leanstral 119B A6B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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 | — |
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights72.6 GB
KV Cache8.8 GB
Runtime2.4 GB
Headroom0.6 GB
常见问题
FAQ — Leanstral 119B A6B
另请参阅