OCR / VisionMIT
Leanstral 1.5
mistralai/Leanstral-1.5-119B-A6B
Parameters
119B
Context
256K
Downloads
291
Likes
212
Architecture
moe_transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 284.0 GB RAM 426.0 · Disk 384.8 | 298.9 GB RAM 448.3 · Disk 410.8 | 327.5 GB RAM 491.2 · Disk 449.8 |
| FP88bit | 143.8 GB RAM 215.7 · Disk 211.9 | 152.3 GB RAM 228.5 · Disk 237.9 | 174.5 GB RAM 261.8 · Disk 276.9 |
| INT88bit | 143.8 GB RAM 215.7 · Disk 211.9 | 152.3 GB RAM 228.5 · Disk 237.9 | 174.5 GB RAM 261.8 · Disk 276.9 |
| AWQ4bit | 76.3 GB RAM 114.5 · Disk 128.7 | 81.8 GB RAM 122.7 · Disk 154.7 | 100.9 GB RAM 151.4 · Disk 193.7 |
| GPTQ4bit | 77.2 GB RAM 115.8 · Disk 129.8 | 82.7 GB RAM 124.1 · Disk 155.8 | 101.9 GB RAM 152.8 · Disk 194.8 |
| GGUF4bit | 78.9 GB RAM 118.4 · Disk 131.9 | 84.5 GB RAM 126.8 · Disk 157.9 | 103.8 GB RAM 155.7 · Disk 196.9 |
GPU Recommendations
Best ValueBEST
1× H200 SXM
141 GB VRAM
$2,555/mo
≈ 83.5 tok/s
Effective production throughput ≈ 58.4 tok/s
score 0.6257
Cheapest
8× Tesla V100
128 GB VRAM
$162/mo
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.527
Performance
8× H200 SXM
1128 GB VRAM
$20,440/mo
≈ 267.2 tok/s
Effective production throughput ≈ 187 tok/s
score 0.2197
Min Complexity
2× RTX A6000
96 GB VRAM
$420/mo
≈ 21.4 tok/s
Effective production throughput ≈ 15 tok/s
score 0.6204
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
H200 SXM
141 GB VRAM
$2,555
/mo · lambda
B200
180 GB VRAM
$3,013
/mo · vast
B200 SXM
180 GB VRAM
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