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

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

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"

Unbind-Flash-V1 / assets /results-v1 /comparison-table.csv

UnbindAI

Publish UnbindAI-reported results and cybersecurity research positioning

7deda38 verified 11 days ago

Raw History Blame Contribute Delete

740 Bytes

﻿"Model","AA Index v5","HLE-Diamond","GPQA Diamond","Terminal-Bench 4","FrontierCode 2","LiveBench 2","LiveCodeBench"
"Claude Opus 5","45.0*","49.0*","93.9","49.0","35.0*","78.0*","89.0"
"GPT-5.6 Sol","39.5*","40.0*","93.5","39.9","28.0*","73.0*","82.6"
"GPT-6 Sol","43.0*","45.2","94.3","43.9","32.0*","77.0*","87.0*"
"Claude Sonnet 5","30.0*","30.0*","80.3","14.1","20.0*","68.0*","82.4"
"GPT-5.6 Terra","34.0*","28.8","93.3","35.4","25.0*","67.8","85.9"
"Gemini 3.1 Pro","30.0*","31.4","94.4","4.0","18.0*","69.0*","88.5"
"Muse Spark 1.3","36.4","33.7","93.5","33.3","23.1","63.0","85.0*"
"Claude Fable 5","38.0*","45.0*","85.9","42.4","30.0*","76.0*","89.8"
"Unbind Flash V1","31.0*","26.9","93.1","12.6","10.9","64.6","87.2"

	"Model","AA Index v5","HLE-Diamond","GPQA Diamond","Terminal-Bench 4","FrontierCode 2","LiveBench 2","LiveCodeBench"
	"Claude Opus 5","45.0","49.0","93.9","49.0","35.0","78.0","89.0"
	"GPT-5.6 Sol","39.5","40.0","93.5","39.9","28.0","73.0","82.6"
	"GPT-6 Sol","43.0","45.2","94.3","43.9","32.0","77.0","87.0"
	"Claude Sonnet 5","30.0","30.0","80.3","14.1","20.0","68.0","82.4"
	"GPT-5.6 Terra","34.0","28.8","93.3","35.4","25.0","67.8","85.9"
	"Gemini 3.1 Pro","30.0","31.4","94.4","4.0","18.0","69.0*","88.5"
	"Muse Spark 1.3","36.4","33.7","93.5","33.3","23.1","63.0","85.0*"
	"Claude Fable 5","38.0","45.0","85.9","42.4","30.0","76.0","89.8"
	"Unbind Flash V1","31.0*","26.9","93.1","12.6","10.9","64.6","87.2"