Qwen AgentWorld 35B A3B UD Q4 K XL MTP GGUF
This repository contains the Qwen-AgentWorld-35B-A3B model in UD-Q4KXL quantization with Multi-Token Prediction (MTP) support for speculative decoding.
Fonte do modelo
- Tipo
- Modelo
- Tamanho do arquivo
- 861 MB–25,3 GB
- Modelo base
- Qwen/Qwen-AgentWorld-35B-A3B
- Versão
- vRevision 882eb9c
- Atualizado
- 30 de out. de 2026
- Downloads
- 482
- Fonte
- Hugging Face
Descrição da fonte
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
- Qwen Team for the original Qwen-AgentWorld-35B-A3B model
- Unsloth for the Qwen3.6-35B-A3B-MTP-GGUF quantization with MTP heads
- Unsloth for the Qwen-AgentWorld-35B-A3B-GGUF quantization
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
Fontes
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Fontes
1 fonteVerificado 30 de out.
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Repository files
File inventory only; completeness is unverified.
Artefatos de modelo
3 artefatos
Artefatos de modelo
3 artefatosmmproj-BF16.gguf
gguf · BF16 (unverified) · 861 MB · SHA-256 da63cb47a767…5cfa · Hugging Face
Download fileQwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP.gguf
gguf · Q4_K_XL (unverified) · 21,3 GB · SHA-256 dfc8aa15b34e…171e · Hugging Face
Download fileQwen-AgentWorld-35B-A3B-UD-Q5_K_XL-MTP.gguf
gguf · Q5_K_XL (unverified) · 25,3 GB · SHA-256 e10b24965e0a…018a · Hugging Face
Download fileTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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 - **Qwen Team** for the original [Qwen-AgentWorld-35B-A3B](https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B) model - **Unsloth** for the [Qwen3.6-35B-A3B-MTP-GGUF](https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF) quantization with MTP heads - **Unsloth** for the [Qwen-AgentWorld-35B-A3B-GGUF](https://huggingface.co/unsloth/Qwen-AgentWorld-35B-A3B-GGUF) quantization ## 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 ```bash ./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: ```bash 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 dra...
Source context: 482 downloads · 5 likes · Pipeline image-text-to-text · Repo vadikulous-ai/Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP-GGUF
Source context: 703 downloads · 4 likes · Pipeline image-text-to-text · Repo vadikulous-ai/Qwen-AgentWorld-35B-A3B-UD-Q4_K_XL-MTP-GGUF
