Instructions to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="groxaxo/Qwen-AgentWorld-35B-A3B-GGUF",
	filename="Qwen-AgentWorld-35B-A3B-BF16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Ollama:
```
ollama run hf.co/groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
```

Unsloth Studio

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for groxaxo/Qwen-AgentWorld-35B-A3B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for groxaxo/Qwen-AgentWorld-35B-A3B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for groxaxo/Qwen-AgentWorld-35B-A3B-GGUF to start chatting

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Docker Model Runner:
```
docker model run hf.co/groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M
```

Lemonade

How to use groxaxo/Qwen-AgentWorld-35B-A3B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull groxaxo/Qwen-AgentWorld-35B-A3B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen-AgentWorld-35B-A3B-GGUF-Q4_K_M

List all available models

lemonade list

Qwen-AgentWorld-35B-A3B GGUF

GGUF quantizations of Qwen/Qwen-AgentWorld-35B-A3B generated with llama.cpp.

Architecture: qwen35moe (35B params, 256 experts / 8 active, A3B)
Context length: 262 144
Source: BF16 GGUF converted via convert_hf_to_gguf.py
Importance matrix (coding.imatrix.gguf) generated from a curated coding calibration text (1 840 samples), 128 chunks, ctx 4 096.

Files

File	Size (GiB)	BPW	Use
`Qwen-AgentWorld-35B-A3B-BF16.gguf`	64.61	16.01	reference / highest fidelity
`Qwen-AgentWorld-35B-A3B-Q8_0.gguf`	34.37	8.52	near-lossless, needs >24 GB VRAM with all layers offloaded
`Qwen-AgentWorld-35B-A3B-Q6_K.gguf`	26.56	6.58	very high quality, ~20 GB VRAM
`Qwen-AgentWorld-35B-A3B-Q4_K_M.gguf`	19.71	4.88	balanced quality / size, ~14 GB VRAM
`Qwen-AgentWorld-35B-A3B-Q2_K.gguf`	12.05	2.99	smallest, ~9 GB VRAM, quality trade-off
`Qwen-AgentWorld-35B-A3B-coding.imatrix.gguf`	0.18	—	importance matrix for finer quant recipes (Tensor-type overrides).

Plain quantization passes (no recipe overrides) only — these avoid the std::bad_alloc triggered by --tensor-type-file + imatrix on this specific MoE architecture in the current llama.cpp build (8194 / 1179bfc82). The imatrix file is still provided for users who want to mix types via --tensor-type-file.

Recommended inference

llama.cpp/build/bin/llama-server \
    -m Qwen-AgentWorld-35B-A3B-Q4_K_M.gguf \
    -ngl 999 --ctx-size 8192 -b 2048 -ub 512 -np 1 \
    --temp 0.6 --top-p 0.95 --top-k 20 \
    -fa --host 0.0.0.0 --port 8080

Downloads last month: 12,186

GGUF

Model size

35B params

Architecture

qwen35moe

Hardware compatibility

2-bit

4-bit

6-bit

8-bit

16-bit

View +1 variant

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Model tree for groxaxo/Qwen-AgentWorld-35B-A3B-GGUF

Base model

Qwen/Qwen3.5-35B-A3B-Base

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Qwen/Qwen-AgentWorld-35B-A3B

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