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Qwen-AgentWorld-35B-A3B — APEX GGUF

APEX (Adaptive Precision for EXpert Models) quantizations of Qwen/Qwen-AgentWorld-35B-A3B — a world-model / agent-environment-simulation MoE built on Qwen3.5-35B-A3B-Base.

Brought to you by the LocalAI team | APEX Project | Technical Report

Available Files

File	Profile	Best For
Qwen-AgentWorld-35B-A3B-APEX-I-Balanced.gguf	I-Balanced	Best overall — imatrix-enhanced
Qwen-AgentWorld-35B-A3B-APEX-I-Quality.gguf	I-Quality	Highest quality with imatrix
Qwen-AgentWorld-35B-A3B-APEX-Quality.gguf	Quality	Highest quality (no imatrix)
Qwen-AgentWorld-35B-A3B-APEX-Balanced.gguf	Balanced	General purpose
Qwen-AgentWorld-35B-A3B-APEX-I-Compact.gguf	I-Compact	Consumer GPUs, imatrix-enhanced
Qwen-AgentWorld-35B-A3B-APEX-Compact.gguf	Compact	Consumer GPUs
Qwen-AgentWorld-35B-A3B-APEX-I-Mini.gguf	I-Mini	Smallest viable, fastest inference

What is APEX?

APEX is a quantization strategy for Mixture-of-Experts (MoE) models. It classifies tensors by role (routed expert, shared expert, attention) and applies a layer-wise precision gradient — edge layers (first/last 5) get higher precision, middle layers get more aggressive compression. I-variants use diverse imatrix calibration (chat, code, reasoning, tool-calling, agentic traces, Wikipedia).

The key insight: in MoE models, expert FFN tensors make up the bulk of model weight but only ~8/256 experts activate per token. APEX compresses middle-layer experts more aggressively while preserving edge layers and keeping attention and shared-expert tensors at higher precision.

See the APEX project for full details.

Architecture

Model: Qwen-AgentWorld-35B-A3B (Qwen3_5MoeForConditionalGeneration, Qwen3.5-35B-A3B base)
Layers: 40 · Experts: 256 routed + 1 shared (8 active) · Total/Active: ~35B / ~3B
Attention: Hybrid (full attention every 4th layer, linear otherwise)
Calibration: v1.3 diverse dataset

Note: the config advertises an image token, but the released checkpoint ships no vision encoder weights, so these are text-only GGUFs (no mmproj).

Run with LocalAI

local-ai run mudler/Qwen-AgentWorld-35B-A3B-APEX-GGUF@Qwen-AgentWorld-35B-A3B-APEX-I-Balanced.gguf

Credits

APEX is brought to you by the LocalAI team. Built on llama.cpp. Base model by Qwen.