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

File size: 3,027 Bytes

# Unbind Flash V1 — reported results gallery

Ten Unbind-branded graphics using figures supplied by UnbindAI. These are reported hosted-version results, not independently verified measurements or tests of this repository’s older GGUF download. Settings, dataset revisions, raw logs, and competitor provenance were not supplied.

* Asterisks are retained exactly as supplied; their meaning was not specified.

## Full comparison

![Seven benchmarks, nine models](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/08-full-comparison.png)

## Coding comparison

![Coding benchmark comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/09-coding-comparison.png)

## AA Index v5

![AA Index v5 — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/01-aa-index-v5.png)

## HLE-Diamond

![HLE-Diamond — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/02-hle-diamond.png)

## GPQA Diamond

![GPQA Diamond — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/03-gpqa-diamond.png)

## Terminal-Bench 4

![Terminal-Bench 4 — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/04-terminal-bench-4.png)

## FrontierCode 2

![FrontierCode 2 — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/05-frontiercode-2.png)

## LiveBench 2

![LiveBench 2 — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/06-livebench-2.png)

## LiveCodeBench

![LiveCodeBench — Unbind Flash V1 comparison](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/07-livecodebench.png)

## Reported 320-test result

![Reported 320/320 tests passed](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/results-v1/10-reported-320-tests.png)

UnbindAI reports 320/320 tests passed. Suite, pass criteria, and logs were not supplied. This is not a universal non-refusal claim or a measured comparison of competitor refusal rates.

## Data and exports

[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)

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.