Instructions to use cvbcvbdfg/130 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 cvbcvbdfg/130 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 cvbcvbdfg/130:BF16 # Run inference directly in the terminal: llama cli -hf cvbcvbdfg/130:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cvbcvbdfg/130:BF16 # Run inference directly in the terminal: llama cli -hf cvbcvbdfg/130:BF16
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 cvbcvbdfg/130:BF16 # Run inference directly in the terminal: ./llama-cli -hf cvbcvbdfg/130:BF16
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 cvbcvbdfg/130:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf cvbcvbdfg/130:BF16
Use Docker
docker model run hf.co/cvbcvbdfg/130:BF16
- LM Studio
- Jan
- Ollama
How to use cvbcvbdfg/130 with Ollama:
ollama run hf.co/cvbcvbdfg/130:BF16
- Unsloth Studio
How to use cvbcvbdfg/130 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 cvbcvbdfg/130 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 cvbcvbdfg/130 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for cvbcvbdfg/130 to start chatting
- Pi
How to use cvbcvbdfg/130 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf cvbcvbdfg/130:BF16
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": "cvbcvbdfg/130:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use cvbcvbdfg/130 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf cvbcvbdfg/130:BF16
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 "cvbcvbdfg/130:BF16" \ --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"
- Docker Model Runner
How to use cvbcvbdfg/130 with Docker Model Runner:
docker model run hf.co/cvbcvbdfg/130:BF16
- Lemonade
How to use cvbcvbdfg/130 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cvbcvbdfg/130:BF16
Run and chat with the model
lemonade run user.130-BF16
List all available models
lemonade list
- Hermes Agent
How to use cvbcvbdfg/130 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf cvbcvbdfg/130:BF16
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 cvbcvbdfg/130:BF16
Run Hermes
hermes
- Atomic Chat
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| "model_type": "qwen3_vl", | |
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| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
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| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 12288, | |
| "max_position_embeddings": 262144, | |
| "model_type": "qwen3_vl_text", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
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| "rope_type": "default" | |
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| "rope_theta": 5000000, | |
| "use_cache": true, | |
| "vocab_size": 151936 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.1", | |
| "unsloth_fixed": true, | |
| "unsloth_version": "2026.1.4", | |
| "video_token_id": 151656, | |
| "vision_config": { | |
| "deepstack_visual_indexes": [ | |
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| "model_type": "qwen3_vl", | |
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