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LLMs ·

Leanstral 119B-A6B

Parameters
119B (6.5B active)
Architecture
Mixture of experts
Max context
256K tokens
License
apache-2.0
Released
2026-03

How to run it

Original weights · Hugging Face

Full-precision files from Mistral AI, for fine-tuning, vLLM, Transformers.

huggingface.co/mistralai/Leanstral-2603 (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

KV cache: latent (MLA) KV cache.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 47.8 GB 48.5 GB 49.1 GB All files (opens in a new tab)
Q3_K_M Low 58.5 GB 59.3 GB 59.9 GB All files (opens in a new tab)
Q4_K_M Good 72.8 GB 73.6 GB 74.2 GB All files (opens in a new tab)
Q5_K_M High 84.8 GB 85.6 GB 86.1 GB All files (opens in a new tab)
Q6_K High 97.9 GB 98.7 GB 99.3 GB All files (opens in a new tab)
Q8_0 Very high 127 GB 127 GB 128 GB All files (opens in a new tab)
F16 Full 239 GB 240 GB 240 GB Original weights (opens in a new tab)

Best hardware for Leanstral 119B-A6B

The least expensive GPU in our catalog that runs it without offloading is the NVIDIA RTX PRO 6000 Blackwell (launch price $8,565) at Q4_K_M.

Grade · points Hardware Quant Memory Speed Fit
87 ptsExcellent (S) · 87 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q6_K 110 GB / 144 GB 45.1 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.7/15 Apple M3 Ultra (256 GB) Q6_K 114 GB / 192 GB 46.2 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q4_K_M 81.3 GB / 96.0 GB 44.4 tok/s Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q4_K_M 78.4 GB / 96.0 GB 169 tok/s Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q4_K_M 82.8 GB / 115 GB 25.8 tok/s Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q4_K_M 81.3 GB / 96.0 GB 20.8 tok/s Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.8/15 Apple M3 Ultra (512 GB) Q6_K 129 GB / 384 GB 46.2 tok/s Runs well
63 ptsGood (B) · 63 of 100 points: Model quality 23.3/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q2_K 52.4 GB / 48.0 GB 45.4 tok/s Runs with offload
63 ptsGood (B) · 63 of 100 points: Model quality 23.3/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q2_K 52.4 GB / 48.0 GB 62.0 tok/s Runs with offload
54 ptsUsable (C) · 54 of 100 points: Model quality 23.3/45, Memory fit 4.0/25, Speed 12.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q2_K 50.1 GB / 32.0 GB 25.6 tok/s Heavy offload

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.