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vadikulous-ai/Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP-GGUF overview

Qwen AgentWorld 35B A3B UD Q4 K XL MTP GGUF This repository contains the Qwen AgentWorld 35B A3B model in UD Q4 K XL quantization with Multi Token Prediction M…

ggufmoemultimodalvisionmtpimage-text-to-textbase_model:Qwen/Qwen-AgentWorld-35B-A3Bbase_model:quantized:Qwen/Qwen-AgentWorld-35B-A3Blicense:apache-2.0region:us

Runs locally from ~861.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
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Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP.ggufGGUFQ4_K_XL21.28 GBDownload
Qwen-AgentWorld-35B-A3B-UD-Q5_K_XL-MTP.ggufGGUFQ5_K_XL25.29 GBDownload
mmproj-BF16.ggufGGUFBF16861.0 MBDownload

Model Details

Model IDvadikulous-ai/Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP-GGUF
Authorvadikulous-ai
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelQwen/Qwen-AgentWorld-35B-A3B
Last modified2026-07-17T15:56:26.000Z

Model README

---

license: apache-2.0

base_model:

  • Qwen/Qwen-AgentWorld-35B-A3B

pipeline_tag: image-text-to-text

tags:

  • moe
  • multimodal
  • vision
  • mtp
  • gguf

---

Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP-GGUF

This repository contains the Qwen-AgentWorld-35B-A3B model in UD-Q4_K_XL quantization with Multi-Token Prediction (MTP) support for speculative decoding.

Acknowledgments

How It Was Made

The MTP heads from Qwen3.6-35B-A3B were extracted and grafted onto the Qwen-AgentWorld-35B-A3B model. Both models share the same architecture (qwen35moe), making this transfer possible. The resulting model includes all base layers from AgentWorld plus the MTP prediction head from the original Qwen3.6 model.

Hardware & Performance

Performance results were achieved on AMD Strix Halo:

  • Without MTP: ~60 tokens/s
  • With MTP: ~77 tokens/s
  • Speed improvement: +28%
  • Draft acceptance rate: ~87%

The high acceptance rate indicates that the MTP heads from the base model transfer well to the AgentWorld fine-tune.

Usage

Basic Usage

./llama-server \
  -m Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP.gguf \
  -ngl 99 -c 8192 -fa on \
  --spec-type draft-mtp \
  --spec-draft-n-max 3

Full Multimodal Setup

For multimodal capabilities with reasoning and optimized parameters:

MODEL_PATH="Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP.gguf"
MMPROJ_PATH="mmproj-BF16.gguf"

./llama-server \
  --model "$MODEL_PATH" \
  --mmproj "$MMPROJ_PATH" \
  -ngl 99 \
  --host 0.0.0.0 \
  --port 8000 \
  --ctx-size 262144 \
  --reasoning "on" \
  --kv-unified \
  -np 2 \
  -fa "on" \
  --no-mmap \
  --image-min-tokens 1024 \
  --spec-type "draft-mtp" \
  --spec-draft-n-max 3 \
  --spec-draft-p-min 0.75 \
  -b 2048 \
  -ub 512

Parameters:

  • --mmproj: Multimodal projector for vision capabilities
  • --reasoning "on": Enable reasoning mode
  • --kv-unified: Unified KV cache
  • -np 2: 2 parallel slots
  • --spec-type "draft-mtp": Enable MTP speculative decoding
  • --spec-draft-n-max 3: Generate up to 3 draft tokens per step
  • --spec-draft-p-min 0.75: Minimum probability threshold for draft tokens
  • -b 2048: Batch size
  • -ub 512: U-batch size

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