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Qwen 3.5 122B A10B

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Jun 2025Veröffentlicht131K TokenKontextApache 2.0Lizenz98 HerausragendQualität

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.

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Copy-paste commands to run Qwen 3.5 122B A10B on your machine.

Run

lms load Qwen3.5-122B-A10B-Instruct && lms server start

Quick 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

Qwen3.5 122B A10B is a high-quality MoE model with 10B active parameters. Strong performance across coding, reasoning, and RAG with moderate inference cost.

  • 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

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

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

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights74.4 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 3.5 122B A10B

Siehe auch