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"
File size: 3,299 Bytes
7deda38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 | {
"title": "Unbind Flash V1 benchmark comparison",
"source": "Data supplied by UnbindAI in this chat; no external verification requested or performed.",
"asterisk_note": "Asterisks are preserved exactly as supplied. Their meaning was not specified.",
"benchmarks": [
{
"id": "01-aa-index-v5",
"name": "AA Index v5",
"short": [
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],
"kind": "Index points"
},
{
"id": "02-hle-diamond",
"name": "HLE-Diamond",
"short": [
"HLE-",
"Diamond"
],
"kind": "Reported score"
},
{
"id": "03-gpqa-diamond",
"name": "GPQA Diamond",
"short": [
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],
"kind": "Reported score"
},
{
"id": "04-terminal-bench-4",
"name": "Terminal-Bench 4",
"short": [
"Terminal-",
"Bench 4"
],
"kind": "Reported score"
},
{
"id": "05-frontiercode-2",
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"short": [
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{
"id": "06-livebench-2",
"name": "LiveBench 2",
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{
"id": "07-livecodebench",
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"models": [
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{
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"73.0*",
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},
{
"name": "GPT-6 Sol",
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"94.3",
"43.9",
"32.0*",
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{
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},
{
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},
{
"name": "Gemini 3.1 Pro",
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"4.0",
"18.0*",
"69.0*",
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},
{
"name": "Muse Spark 1.3",
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},
{
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},
{
"name": "Unbind Flash V1",
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"26.9",
"93.1",
"12.6",
"10.9",
"64.6",
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]
}
],
"reported_test_result": {
"passed": 320,
"total": 320,
"source": "Reported by UnbindAI",
"suite_name": null,
"pass_criteria": null,
"raw_logs_supplied": false
}
} |