Instructions to use UnbindAI/Unbind-Flash-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 UnbindAI/Unbind-Flash-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 UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
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 UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: ./build/bin/llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Use Docker
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Llama new
- LM Studio
- Jan
- vLLM
How to use UnbindAI/Unbind-Flash-V1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "UnbindAI/Unbind-Flash-V1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "UnbindAI/Unbind-Flash-V1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Ollama
How to use UnbindAI/Unbind-Flash-V1 with Ollama:
ollama run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Unsloth Desktop
- Pi
How to use UnbindAI/Unbind-Flash-V1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
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": "UnbindAI/Unbind-Flash-V1:Q2_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use UnbindAI/Unbind-Flash-V1 with Docker Model Runner:
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Lemonade
How to use UnbindAI/Unbind-Flash-V1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull UnbindAI/Unbind-Flash-V1:Q2_K_S
Run and chat with the model
lemonade run user.Unbind-Flash-V1-Q2_K_S
List all available models
lemonade list
- Hermes Agent
How to use UnbindAI/Unbind-Flash-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 UnbindAI/Unbind-Flash-V1:Q2_K_S
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 UnbindAI/Unbind-Flash-V1:Q2_K_S
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use UnbindAI/Unbind-Flash-V1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
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 "UnbindAI/Unbind-Flash-V1:Q2_K_S" \ --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"
Place Unbind first and shuffle competing model columns
Browse files- BENCHMARKS.md +1 -1
- assets/results-v1/08-full-comparison.png +2 -2
- assets/results-v1/08-full-comparison.svg +1 -1
- assets/results-v1/README.txt +10 -15
- assets/results-v1/comparison-column-order.json +11 -0
- assets/results-v1/full-comparison-transposed.csv +8 -8
- assets/results-v1/preview-sheet.png +2 -2
BENCHMARKS.md
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[CSV comparison table](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/comparison-table.csv) · [Source data and provenance](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/source-data.json) · [Asset manifest](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/manifest.json)
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Every graphic has a matching editable SVG under `assets/results-v1/`.
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[CSV comparison table](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/comparison-table.csv) · [Source data and provenance](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/source-data.json) · [Asset manifest](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/manifest.json)
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Every graphic has a matching editable SVG under `assets/results-v1/`. Individual benchmark charts are sorted by supplied score. The full comparison puts Unbind first, followed by other models in a fixed shuffled order independent of scores; outlined cells mark the highest score for each benchmark. The coding table retains the supplied model order. No combined score has been computed.
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assets/results-v1/08-full-comparison.png
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assets/results-v1/08-full-comparison.svg
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assets/results-v1/README.txt
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UNBIND FLASH V1 — SUPPLIED RESULTS GRAPHICS
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10 graphics, each
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01–07: individual benchmark
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08:
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09: coding comparison
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10: reported 320/320 test result
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preview-sheet.png: visual index
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comparison-table.csv: exact supplied table
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source-data.json: exact values, asterisks and claim provenance
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manifest.json: image dimensions and asset inventory
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The separate 320/320 card records the user-reported result; suite, criteria and raw logs were not supplied.
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UNBIND FLASH V1 — SUPPLIED RESULTS GRAPHICS
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10 graphics, each as PNG and editable SVG.
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01–07: individual benchmark charts, sorted by supplied score.
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08: full comparison, benchmarks on the left and models across the top. Unbind is first and green; other columns use a saved random order independent of scores. White outlines identify every benchmark maximum, including ties.
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09: coding comparison, retaining the supplied model order.
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10: user-reported 320/320 test result.
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comparison-table.csv and source-data.json preserve the original supplied data.
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full-comparison-transposed.csv matches the revised full chart.
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comparison-column-order.json records the column order.
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preview-sheet.png is a visual index; manifest.json lists exports and dimensions.
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Data supplied by UnbindAI; not independently verified. Asterisks preserved as supplied; their meaning was not specified. The 320/320 test result was supplied without suite name, pass criteria or raw logs.
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assets/results-v1/comparison-column-order.json
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[
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"Unbind Flash V1",
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"Claude Sonnet 5",
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"GPT-5.6 Terra",
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"GPT-5.6 Sol",
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"Claude Opus 5",
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"Muse Spark 1.3",
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"GPT-6 Sol",
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"Gemini 3.1 Pro",
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"Claude Fable 5"
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]
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assets/results-v1/full-comparison-transposed.csv
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Benchmark,Claude
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AA Index v5,
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HLE-Diamond,
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GPQA Diamond,93.
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Terminal-Bench 4,
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FrontierCode 2,
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LiveBench 2,
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LiveCodeBench,
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Benchmark,Unbind Flash V1,Claude Sonnet 5,GPT-5.6 Terra,GPT-5.6 Sol,Claude Opus 5,Muse Spark 1.3,GPT-6 Sol,Gemini 3.1 Pro,Claude Fable 5
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AA Index v5,31.0*,30.0*,34.0*,39.5*,45.0*,36.4,43.0*,30.0*,38.0*
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HLE-Diamond,26.9,30.0*,28.8,40.0*,49.0*,33.7,45.2,31.4,45.0*
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GPQA Diamond,93.1,80.3,93.3,93.5,93.9,93.5,94.3,94.4,85.9
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Terminal-Bench 4,12.6,14.1,35.4,39.9,49.0,33.3,43.9,4.0,42.4
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FrontierCode 2,10.9,20.0*,25.0*,28.0*,35.0*,23.1,32.0*,18.0*,30.0*
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LiveBench 2,64.6,68.0*,67.8,73.0*,78.0*,63.0,77.0*,69.0*,76.0*
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LiveCodeBench,87.2,82.4,85.9,82.6,89.0,85.0*,87.0*,88.5,89.8
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assets/results-v1/preview-sheet.png
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