Instructions to use optima-tools-ch/chat-low 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 optima-tools-ch/chat-low 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 optima-tools-ch/chat-low:Q4_0 # Run inference directly in the terminal: llama cli -hf optima-tools-ch/chat-low:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf optima-tools-ch/chat-low:Q4_0 # Run inference directly in the terminal: llama cli -hf optima-tools-ch/chat-low:Q4_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf optima-tools-ch/chat-low:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf optima-tools-ch/chat-low:Q4_0
Use Docker
docker model run hf.co/optima-tools-ch/chat-low:Q4_0
- Llama new
- LM Studio
- Jan
- vLLM
How to use optima-tools-ch/chat-low with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "optima-tools-ch/chat-low" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "optima-tools-ch/chat-low", "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/optima-tools-ch/chat-low:Q4_0
- Ollama
How to use optima-tools-ch/chat-low with Ollama:
ollama run hf.co/optima-tools-ch/chat-low:Q4_0
- Unsloth Desktop
- Pi
How to use optima-tools-ch/chat-low with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf optima-tools-ch/chat-low:Q4_0
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": "optima-tools-ch/chat-low:Q4_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use optima-tools-ch/chat-low with Docker Model Runner:
docker model run hf.co/optima-tools-ch/chat-low:Q4_0
- Lemonade
How to use optima-tools-ch/chat-low with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull optima-tools-ch/chat-low:Q4_0
Run and chat with the model
lemonade run user.chat-low-Q4_0
List all available models
lemonade list
- Hermes Agent
How to use optima-tools-ch/chat-low with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf optima-tools-ch/chat-low:Q4_0
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 optima-tools-ch/chat-low:Q4_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use optima-tools-ch/chat-low with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf optima-tools-ch/chat-low:Q4_0
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 "optima-tools-ch/chat-low:Q4_0" \ --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"
Download SOURCE.json from optima-tools-ch/chat-low: direct link, hf CLI and curl.
- Browser
- Download file 2.98 kB
-
https://huggingface.co/optima-tools-ch/chat-low/resolve/main/SOURCE.json
- Command line
-
hf download hf://optima-tools-ch/chat-low/SOURCE.json
-
curl -L -o SOURCE.json https://huggingface.co/optima-tools-ch/chat-low/resolve/main/SOURCE.json
2.98 kB
| { | |
| "schemaVersion": 1, | |
| "preparedAt": "2026-10-27T20:37:56.954Z", | |
| "preparedBy": "Optima Tools (optima-tools-ch)", | |
| "package": { | |
| "id": "chat.low", | |
| "repository": "optima-tools-ch/chat-low", | |
| "usage": "Chat et raisonnement", | |
| "level": "low", | |
| "name": "Gemma 4 E4B QAT Q4_0 + vision" | |
| }, | |
| "source": { | |
| "host": "huggingface.co", | |
| "repository": "google/gemma-4-E4B-it-qat-q4_0-gguf", | |
| "revision": "4b4a2c1d584be7264f87aac328a1bc739ce81b6c", | |
| "url": "https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-gguf/tree/4b4a2c1d584be7264f87aac328a1bc739ce81b6c", | |
| "baseModel": "google/gemma-4-E4B-it-qat-q4_0-unquantized", | |
| "authors": [ | |
| "Google DeepMind" | |
| ], | |
| "license": "Apache-2.0", | |
| "licenseUrl": "https://www.apache.org/licenses/LICENSE-2.0.txt", | |
| "licenseLinkInModelCard": "https://ai.google.dev/gemma/docs/gemma_4_license" | |
| }, | |
| "transfer": { | |
| "method": "Duplication des fichiers LFS côté serveur Hugging Face (copie par empreinte), puis commit dans le dépôt de destination", | |
| "downloadedLocally": false, | |
| "modifiedFiles": false | |
| }, | |
| "files": [ | |
| { | |
| "path": "gemma-4-E4B_q4_0-it.gguf", | |
| "role": "model", | |
| "sizeBytes": 5154941280, | |
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| "sourceUrl": "https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-gguf/resolve/4b4a2c1d584be7264f87aac328a1bc739ce81b6c/gemma-4-E4B_q4_0-it.gguf", | |
| "sourcePath": "gemma-4-E4B_q4_0-it.gguf", | |
| "verification": { | |
| "sha256": "Empreinte SHA-256 lue dans les métadonnées LFS de Hugging Face, identique sur la source et la destination", | |
| "recomputedLocally": false | |
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| "sourceUrl": "https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-gguf/resolve/4b4a2c1d584be7264f87aac328a1bc739ce81b6c/gemma-4-E4B-it-mmproj.gguf", | |
| "sourcePath": "gemma-4-E4B-it-mmproj.gguf", | |
| "verification": { | |
| "sha256": "Empreinte SHA-256 lue dans les métadonnées LFS de Hugging Face, identique sur la source et la destination", | |
| "recomputedLocally": false | |
| } | |
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| ], | |
| "documents": [ | |
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| "note": "README officiel de la révision, copie identique" | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "sizeBytes": 11358, | |
| "sha256": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30", | |
| "origin": "https://www.apache.org/licenses/LICENSE-2.0.txt", | |
| "note": "Texte officiel de la licence Apache 2.0" | |
| } | |
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| } | |