Instructions to use netcat420/MFANNv0.11-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use netcat420/MFANNv0.11-GGUF with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("netcat420/MFANNv0.11-GGUF", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use netcat420/MFANNv0.11-GGUF 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 netcat420/MFANNv0.11-GGUF # Run inference directly in the terminal: llama cli -hf netcat420/MFANNv0.11-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf netcat420/MFANNv0.11-GGUF # Run inference directly in the terminal: llama cli -hf netcat420/MFANNv0.11-GGUF
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 netcat420/MFANNv0.11-GGUF # Run inference directly in the terminal: ./build/bin/llama cli -hf netcat420/MFANNv0.11-GGUF
Use Docker
docker model run hf.co/netcat420/MFANNv0.11-GGUF
- Llama new
- LM Studio
- Jan
- Ollama
How to use netcat420/MFANNv0.11-GGUF with Ollama:
ollama run hf.co/netcat420/MFANNv0.11-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use netcat420/MFANNv0.11-GGUF with Docker Model Runner:
docker model run hf.co/netcat420/MFANNv0.11-GGUF
- Lemonade
How to use netcat420/MFANNv0.11-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull netcat420/MFANNv0.11-GGUF
Run and chat with the model
lemonade run user.MFANNv0.11-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
MFANN 8b version 0.11 4-bit GGUF (Q4_K_S).
fine-tuned on the MFANN dataset as of 5/22/24 as it is an ever expanding dataset. these are the GGUF quantized weights quantized to Q4_K_S and requires a llama.cpp application to run.
SYSTEM PROMPT:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <|eot_id|>
- Downloads last month
- 19
We're not able to determine the quantization variants.
