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Qwen 3.5 0.6B

最先端
Jun 2025公開日131K トークンコンテキストApache 2.0ライセンス13 入門品質

Qwen 3.5 0.6B (0.6000000238418579B parameters) requires approximately 3.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.

はじめに

— コピー&ペーストでローカル実行

Copy-paste commands to run Qwen 3.5 0.6B on your machine.

Run

ollama run qwen3.5:0.6b

Quick specs

Parameters0.6B
Architecturedense
Context131K tokens
Modalitytext
Min RAM0.2 GB
Rec. RAM0.4 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
Chat

About this model

Qwen3.5 is the latest generation of Alibaba's Qwen large language model family, bringing major improvements in reasoning, instruction following, and multilingual capability across both dense and MoE architectures.

  • Ultra-lightweight model ideal for edge devices and mobile deployment
  • Improved reasoning and instruction following over Qwen3 at same size

関連モデル

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量子化オプション

量子化レベル別VRAM推定値

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.2 GB
Low
Q3_K_S
3
0.3 GB
Low
NVFP4
4
0.3 GB
Medium
Q4_K_M
4
0.4 GB
Medium
Q5_K_M
5
0.4 GB
High
Q6_K
6
0.5 GB
High
Q8_0
8
0.6 GB
Very High
F16
16
1.2 GB
Maximum

Quality benchmarks

Qwen 3.5 0.6B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro29.7%
GPQA Diamond
MATH-500
ARC Challenge

General

Chatbot Arena
IFEval52.1%

Source: official · 2026-03-02

ハードウェア互換性

全ハードウェアの適合度推定

カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

Weights0.4 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom0.6 GB

よくある質問

FAQ — Qwen 3.5 0.6B

関連項目