willitrun·ai

AlibabaAlibaba

Qwen AgentWorld 35B A3B

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103.6KDownloads629CurtidasJun 2026Publicado262K tokensContextoApache 2.0Licença76 ForteQualidade

Qwen AgentWorld 35B A3B (34.70000076293945B parameters) requires approximately 23.0 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 27 GB of VRAM.

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Copy-paste commands to run Qwen AgentWorld 35B A3B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "Qwen/Qwen-AgentWorld-35B-A3B" \ --hf-file "Qwen-AgentWorld-35B-A3B-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters34.7B (3B active)
Architecturemoe (MoE)
Context262K tokens
Modalitytext
Min RAM13.5 GB
Rec. RAM21.2 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
Reasoning

About this model

Qwen-AgentWorld is the first language world model to cover seven agent interaction domains in a single model, built on Qwen3.5-35B-A3B-Base. Rather than answering prompts, it simulates agentic environments — predicting the next environment state given an agent's action and interaction history — via long chain-of-thought reasoning, with environment modeling as the training objective from continued pre-training onward.

  • Seven unified domains: MCP tool calling, Search, Terminal, SWE, Android, Web and OS.
  • Native world model — environment modeling from the CPT stage, not a post-hoc add-on.
  • 35B total / ~3B active per token, so it simulates environments on a single GPU.
  • Zero-shot generalization to out-of-distribution environments, with controllable perturbations.
  • 262K context; hybrid linear + full attention (1-in-4 layers) keeps KV cache small.

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q1_0_G128
1.125
5.0 GB
Very Low
Q2_0_G128
1.71
9.3 GB
Low
Q2_K
2
13.5 GB
Low
Q3_K_S
3
17.0 GB
Low
NVFP4
4
19.4 GB
Medium
Q4_K_M
4
21.2 GB
Medium
Q5_K_M
5
25.0 GB
High
Q6_K
6
28.5 GB
High
Q8_0
8
37.1 GB
Very High
F16
16
71.1 GB
Maximum

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights21.2 GB
KV Cache0.3 GB
Runtime0.9 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Qwen AgentWorld 35B A3B

Veja também