Alibaba
Qwen 3.5 122B A10B
Frontera
Jun 2025Publicado131K tokensContextoApache 2.0Licencia98 ExcepcionalCalidad
Qwen 3.5 122B A10B (122B parameters) requires approximately 78.4 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 10B 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 91 GB of VRAM.
Comenzar
— copia y pega para ejecutar en localCopy-paste commands to run Qwen 3.5 122B A10B on your machine.
Run
lms load Qwen3.5-122B-A10B-Instruct && lms server startQuick specs
Parameters122B (10B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM47.6 GB
Rec. RAM74.4 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code✓ Chat✓ Reasoning✓ RAG
About this model
- •122B total params with 10B active — excellent quality-to-cost ratio
- •Competitive with dense 32-70B models on reasoning benchmarks
- •Requires 48+ GB VRAM at Q4_K_M — suitable for A6000, dual GPU setups, or M-series Macs
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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 47.6 GB | Low | — |
Q3_K_S | 3 | 59.8 GB | Low | — |
NVFP4 | 4 | 68.3 GB | Medium | — |
Q4_K_M | 4 | 74.4 GB | Medium | — |
Q5_K_M | 5 | 87.8 GB | High | — |
Q6_K | 6 | 100.0 GB | High | — |
Q8_0 | 8 | 130.5 GB | Very High | — |
F16 | 16 | 250.1 GB | Maximum | — |
Quality benchmarks
Qwen 3.5 122B A10B benchmark scores
Coding
SWE-bench Verified72.0%
HumanEval+—
Aider Polyglot—
LiveCodeBench78.9%
Reasoning
MMLU-Pro86.1%
GPQA Diamond85.5%
MATH-500—
ARC Challenge—
General
Chatbot Arena—
IFEval93.4%
Source: official · 2025-06-25
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights74.4 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — Qwen 3.5 122B A10B
Ver también