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deucebucket
/
Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF

Image-Text-to-Text
GGUF
GGUF
qwen3
qwen
quantized
cerebellum
imatrix
Mixture of Experts
mixed-precision
3-bit
heretic
uncensored
abliterated
Eval Results (legacy)
Eval Results
conversational
Model card Files Files and versions
xet
Community
3

Instructions to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-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 deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    # Run inference directly in the terminal:
    llama cli -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    # Run inference directly in the terminal:
    llama cli -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_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 deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_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 deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    Use Docker
    docker model run hf.co/deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
  • LM Studio
  • Jan
  • vLLM

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
  • Ollama

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with Ollama:

    ollama run hf.co/deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
  • Unsloth Desktop
  • Pi

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    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": "deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with Docker Model Runner:

    docker model run hf.co/deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
  • Lemonade

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    Run and chat with the model
    lemonade run user.Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF-Q3_K_M
    List all available models
    lemonade list
  • Hermes Agent

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-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 deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_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 deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M
    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 "deucebucket/Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF:Q3_K_M" \
      --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"
Qwen3.6-35B-A3B-Heretic-Cerebellum-GGUF
27.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
deucebucket's picture
deucebucket
reupload 14GB build (metadata-touch r2; previous LFS object corrupt on HF storage backend)
f61fe21 verified about 2 months ago
  • .eval_results
    results: eval badge files (self-reported, audited locally) 3 months ago
  • benchmark_results
    results: full audited benchmark suite + adversarial audit reports 3 months ago
  • benchmark_results_uniform
    results: head-to-head — uniform Q3_K_M of same heretic weights, identical harness 3 months ago
  • .gitattributes
    1.91 kB
    feat: 35B heretic 14GB tier (Cerebellum 14GB recipe, ffn_down_exps@Q4_K) 2 months ago
  • Qwen3.6-35B-A3B-Heretic-Cerebellum-14GB.gguf
    14.5 GB
    xet
    reupload 14GB build (metadata-touch r2; previous LFS object corrupt on HF storage backend) about 2 months ago
  • Qwen3.6-35B-A3B-Heretic-Cerebellum-v1-Q3_K_M.gguf
    12 GB
    xet
    rename: add quant tag to filename for hardware-compat parsing 3 months ago
  • Qwen3.6-35B-A3B-uncensored-heretic-mmproj-BF16.gguf
    903 MB
    xet
    model: vision mmproj (passthrough from llmfan46 source) 3 months ago
  • README.md
    13 kB
    Upload README.md with huggingface_hub 3 months ago
  • cerebellum_banner.png
    230 kB
    xet
    Upload cerebellum_banner.png with huggingface_hub 3 months ago