Alibaba
Qwen 3.6 35B A3B
前沿
5.7M下载量2.0K点赞Apr 2026发布日期262K tokens上下文Apache 2.0许可证98 卓越质量
Qwen 3.6 35B A3B (35B parameters) requires approximately 28.5 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B 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 33 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Qwen 3.6 35B A3B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen3.6-35B-A3B" \
--hf-file "Qwen3.6-35B-A3B-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters35B (3B active)
Architecturemoe (MoE)
Context262K tokens
Modalitytext+vision
Min RAM13.7 GB
Rec. RAM21.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Vision✓ Code✓ Chat✓ Reasoning
About this model
- •35B total params with only 3B active per token
- •262K native context with preserve-thinking support
- •Multimodal open-weights model tuned for coding and agent workflows
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最佳硬件
Qwen 3.6 35B A3B 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 | 13.7 GB | Low | — |
Q3_K_S | 3 | 17.2 GB | Low | — |
NVFP4 | 4 | 19.6 GB | Medium | — |
Q4_K_M | 4 | 21.3 GB | Medium | — |
Q5_K_M | 5 | 25.2 GB | High | — |
Q6_K | 6 | 28.7 GB | High | — |
Q8_0 | 8 | 37.5 GB | Very High | — |
F16 | 16 | 71.8 GB | Maximum | — |
Quality benchmarks
Qwen 3.6 35B A3B benchmark scores
Coding
SWE-bench Verified73.4%
HumanEval+—
Aider Polyglot—
LiveCodeBench80.4%
Reasoning
MMLU-Pro85.2%
GPQA Diamond86.0%
MATH-500—
ARC Challenge—
Source: official · 2026-04-15
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
Weights21.3 GB
KV Cache4.1 GB
Runtime2.4 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3.6 35B A3B
另请参阅