Alibaba

Qwen AgentWorld 35B A3B

Name: Qwen AgentWorld 35B A3B
Rating: 83 (87 reviews)
Author: Alibaba

Frontera

HuggingFace

103.6KDescargas629Me gustaJun 2026Publicado262K tokensContextoApache 2.0Licencia76 FuerteCalidad

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.

Comenzar

— copia y pega para ejecutar en local

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.

Modelos relacionados

Selecciones rápidas

Mejor económicoA

Mac mini M4 64GB~$1,099 — 13 tok/s

Mejor en generalS

RTX 5090 32GB~$1,999 — 140 tok/s

Mejor hardware

Mejores opciones para Qwen AgentWorld 35B A3B

RTX 5090 32GBS

32 GB

RTX PRO 4500 Blackwell 32GBS

32 GB

AMD Instinct MI100 32GBS

Ejecutar este modelo

Qwen AgentWorld 35B A3B on RTX 5090 32GB Qwen AgentWorld 35B A3B on RTX PRO 4500 Blackwell 32GB Qwen AgentWorld 35B A3B on AMD Instinct MI100 32GB

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
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	—

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights21.2 GB

KV Cache0.3 GB

Runtime0.9 GB

Headroom0.6 GB

Preguntas frecuentes

FAQ — Qwen AgentWorld 35B A3B

Ver también

Guía de cuantización Metodología de puntuación Abrir calculadora