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"
Apply Unbind branding to model card
Browse files- .gitattributes +1 -0
- LICENSE +21 -0
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- assets/unbind-flash-v1.png +3 -0
.gitattributes
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LICENSE
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MIT License
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Copyright (c) 2023 DeepSeek
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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SOFTWARE.
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README.md
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base_model: deepseek-ai/DeepSeek-V4-Flash
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base_model_relation: quantized
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library_name: gguf
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tags:
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- deepseek
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---
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# Unbind Flash V1
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- **Quantized source:** [ggml-org/DeepSeek-V4-Flash-GGUF](https://huggingface.co/ggml-org/DeepSeek-V4-Flash-GGUF), Q2_K_S.
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- **Format:** GGUF, two shards, approximately 98.6 GB in total.
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- **Changes:** Unbind branding and this model card. The model weights are unchanged from the quantized source; no fine-tuning or independent evaluation has been performed by UnbindAI.
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- **License:** MIT. The original DeepSeek copyright and license notice is reproduced below.
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SOFTWARE.
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base_model: deepseek-ai/DeepSeek-V4-Flash
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base_model_relation: quantized
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library_name: gguf
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pipeline_tag: text-generation
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tags:
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- gguf
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- quantized
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- deepseek
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- conversational
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---
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# Unbind Flash V1
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**Room to think. Space to explore.**
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Unbind Flash V1 is an Unbind-branded distribution of DeepSeek-V4-Flash in GGUF format. It packages the Q2_K_S quantization for people who want to download and work with the model locally.
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| Model | Format | Quantization | Download size | License |
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| Unbind Flash V1 | GGUF | Q2_K_S | ~98.6 GB, two shards | MIT |
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## About this release
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This release uses the unchanged Q2_K_S weights published by [ggml-org](https://huggingface.co/ggml-org/DeepSeek-V4-Flash-GGUF), based on [DeepSeek-V4-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash) by DeepSeek. UnbindAI added the branding and model card; it did not train or fine-tune the weights. The source notes that its Q2 quantizations do not use imatrix calibration.
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Both GGUF shards are needed. Storage size does not include the additional runtime memory required to load and run the model. Compatibility depends on your inference software and hardware; consult the upstream model pages for details.
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## Evaluation and limitations
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UnbindAI has not independently tested or evaluated this distribution. Model outputs can be inaccurate or unsuitable for a particular use. Review the upstream model's documentation and assess the model for your own use.
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## License and credits
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Released under the [MIT License](LICENSE). The license retains DeepSeek's copyright and permission notice. The model was developed by DeepSeek; the GGUF conversion and quantization were provided by ggml-org.
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---
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**Unbind** · Your mind, unbound.
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assets/unbind-flash-v1.png
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Git LFS Details
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