Instructions to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-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 FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

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 FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

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 FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Use Docker

docker model run hf.co/FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

LM Studio
Jan
Ollama
How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with Ollama:
```
ollama run hf.co/FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
```
Unsloth Desktop

How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with Docker Model Runner:
```
docker model run hf.co/FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16
```

Lemonade

How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Run and chat with the model

lemonade run user.Qwen-AgentWorld-35B-A3B-NVFP4-GGUF-F16

List all available models

lemonade list

Hermes Agent

How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-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 FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

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 FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "FreedomAISVR/Qwen-AgentWorld-35B-A3B-NVFP4-GGUF:F16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

vision support works fine

by DGanno - opened Jun 26

Discussion

DGanno

Jun 26

vision support works just fine with mmproj-F32.gguf
Size of file: 1.79 GB SHA256: 40169fdbd92afb86ef298c8f535353c7cc1307e3493db4359454246bcfc92131

FreedomAISVR

Owner Jun 26

Thanks for the report! You are correct - vision works because the AgentWorld model shares the same vision architecture as Qwen3.5-35B-A3B (27-layer vision encoder, 1152 hidden). We will update the repo to include an mmproj file for vision support.

FreedomAISVR

Owner Jun 26

Thanks for the heads up! We have now updated both repos (NVFP4 and MXFP4 MoE) with the mmproj file for vision support. The vision architecture is shared with Qwen3.5-35B-A3B (27-layer encoder, 1152 hidden). Please re-download and try again.

FreedomAISVR changed discussion status to closed Jun 26

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