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Qwen3.5 27B

可用数据有限 — 部分规格可能不完整或为估算值。
748.3K下载量320点赞0K tokens上下文Unknown许可证5 入门质量

Qwen3.5 27B (27B parameters) requires approximately 21.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 25 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run Qwen3.5 27B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "unsloth/Qwen3.5-27B-GGUF" \ --hf-file "Qwen3.5-27B-GGUF-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters27B
Architecturedense
Context0K tokens
Modalitytext
Min RAM10.5 GB
Rec. RAM16.5 GB (Q4_K_M)
LicenseUnknown
FamilyQwen
Vision Chat

相关模型

你的硬件

检测中...

快速推荐

最佳硬件

Qwen3.5 27B 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

QuantBitsVRAMQualityFit
Q2_K
2
10.5 GB
Low
Q3_K_S
3
13.2 GB
Low
NVFP4
4
15.1 GB
Medium
Q4_K_M
4
16.5 GB
Medium
Q5_K_M
5
19.4 GB
High
Q6_K
6
22.1 GB
High
Q8_0
8
28.9 GB
Very High
F16
16
55.4 GB
Maximum

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights16.5 GB
KV Cache3.2 GB
Runtime1.2 GB
Headroom0.6 GB

常见问题

FAQ — Qwen3.5 27B

另请参阅