AlibabaAlibaba

Qwen 3 1.7B

Frontier
4.5MDownloads476LikesApr 2025Veröffentlicht33K TokenKontextApache 2.0Lizenz48 BasisQualität

Qwen 3 1.7B (1.7000000476837158B parameters) requires approximately 4.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 6 GB of VRAM.

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Copy-paste commands to run Qwen 3 1.7B on your machine.

Run

ollama run qwen3:1.7b

Quick specs

Parameters1.7B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.7 GB
Rec. RAM1 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
Chat

About this model

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

  • Uniquely support of seamless switching between thinking mode: (for complex logical reasoning, math, and coding) and non-thinking mode (for...
  • Significantly enhancement in its reasoning capabilities: , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking...
  • Superior human preference alignment: , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a...
  • Expertise in agent capabilities: , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading...
  • Support of 100+ languages and dialects: with strong capabilities for multilingual instruction following and translation

Verwandte Modelle

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Schnellauswahl

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.7 GB
Low
Q3_K_S
3
0.8 GB
Low
NVFP4
4
1.0 GB
Medium
Q4_K_M
4
1.0 GB
Medium
Q5_K_M
5
1.2 GB
High
Q6_K
6
1.4 GB
High
Q8_0
8
1.8 GB
Very High
F16
16
3.5 GB
Maximum

Quality benchmarks

Qwen 3 1.7B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro40.1%
GPQA Diamond
MATH-50077.6%
ARC Challenge

Source: community · 2025-04-27

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

Rechner öffnen

Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights1.0 GB
KV Cache1.7 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 3 1.7B

Siehe auch