Alibaba
Qwen 3.5 122B A10B
前沿
Jun 2025发布日期131K tokens上下文Apache 2.0许可证98 卓越质量
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.
快速开始
— 复制粘贴即可本地运行Copy-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
相关模型
快速推荐
最佳硬件
Qwen 3.5 122B A10B 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 | 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
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
Weights74.4 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3.5 122B A10B
另请参阅