Instructions to use zappaidan/luna-speaker-9b-q4-v1 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 zappaidan/luna-speaker-9b-q4-v1 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 zappaidan/luna-speaker-9b-q4-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf zappaidan/luna-speaker-9b-q4-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf zappaidan/luna-speaker-9b-q4-v1: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 zappaidan/luna-speaker-9b-q4-v1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf zappaidan/luna-speaker-9b-q4-v1: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 zappaidan/luna-speaker-9b-q4-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
Use Docker
docker model run hf.co/zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use zappaidan/luna-speaker-9b-q4-v1 with Ollama:
ollama run hf.co/zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
- Unsloth Desktop
- Pi
How to use zappaidan/luna-speaker-9b-q4-v1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zappaidan/luna-speaker-9b-q4-v1:Q4_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": "zappaidan/luna-speaker-9b-q4-v1:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use zappaidan/luna-speaker-9b-q4-v1 with Docker Model Runner:
docker model run hf.co/zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
- Lemonade
How to use zappaidan/luna-speaker-9b-q4-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
Run and chat with the model
lemonade run user.luna-speaker-9b-q4-v1-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use zappaidan/luna-speaker-9b-q4-v1 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zappaidan/luna-speaker-9b-q4-v1: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 zappaidan/luna-speaker-9b-q4-v1:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use zappaidan/luna-speaker-9b-q4-v1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zappaidan/luna-speaker-9b-q4-v1:Q4_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 "zappaidan/luna-speaker-9b-q4-v1:Q4_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"
Upload tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +32 -0
tokenizer_config.json
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{
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"add_prefix_space": false,
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"image_token": "<|image_pad|>",
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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},
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"pad_token": "<|endoftext|>",
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null,
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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}
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