Instructions to use nexflow/nexflow-26-06 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 nexflow/nexflow-26-06 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 nexflow/nexflow-26-06:Q4_K_M # Run inference directly in the terminal: llama cli -hf nexflow/nexflow-26-06:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nexflow/nexflow-26-06:Q4_K_M # Run inference directly in the terminal: llama cli -hf nexflow/nexflow-26-06:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf nexflow/nexflow-26-06:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf nexflow/nexflow-26-06:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf nexflow/nexflow-26-06:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nexflow/nexflow-26-06:Q4_K_M
Use Docker
docker model run hf.co/nexflow/nexflow-26-06:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use nexflow/nexflow-26-06 with Ollama:
ollama run hf.co/nexflow/nexflow-26-06:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nexflow/nexflow-26-06 with Docker Model Runner:
docker model run hf.co/nexflow/nexflow-26-06:Q4_K_M
- Lemonade
How to use nexflow/nexflow-26-06 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nexflow/nexflow-26-06:Q4_K_M
Run and chat with the model
lemonade run user.nexflow-26-06-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| tags: | |
| - gguf | |
| - llama.cpp | |
| - unsloth | |
| # nexflow-26-06 : GGUF | |
| This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth). | |
| **Example usage**: | |
| - For text only LLMs: `llama-cli -hf nexflow/nexflow-26-06 --jinja` | |
| - For multimodal models: `llama-mtmd-cli -hf nexflow/nexflow-26-06 --jinja` | |
| ## Available Model files: | |
| - `Llama-3.2-3B-Instruct.Q4_K_M.gguf` | |
| ## Ollama | |
| An Ollama Modelfile is included for easy deployment. | |
| This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |