Instructions to use moxin-org/Moxin-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use moxin-org/Moxin-7B-Chat with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="moxin-org/Moxin-7B-Chat", filename="moxin-chat-7b.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use moxin-org/Moxin-7B-Chat with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf moxin-org/Moxin-7B-Chat # Run inference directly in the terminal: llama-cli -hf moxin-org/Moxin-7B-Chat
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf moxin-org/Moxin-7B-Chat # Run inference directly in the terminal: llama-cli -hf moxin-org/Moxin-7B-Chat
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 moxin-org/Moxin-7B-Chat # Run inference directly in the terminal: ./llama-cli -hf moxin-org/Moxin-7B-Chat
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 moxin-org/Moxin-7B-Chat # Run inference directly in the terminal: ./build/bin/llama-cli -hf moxin-org/Moxin-7B-Chat
Use Docker
docker model run hf.co/moxin-org/Moxin-7B-Chat
- LM Studio
- Jan
- Ollama
How to use moxin-org/Moxin-7B-Chat with Ollama:
ollama run hf.co/moxin-org/Moxin-7B-Chat
- Unsloth Studio new
How to use moxin-org/Moxin-7B-Chat with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moxin-org/Moxin-7B-Chat to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moxin-org/Moxin-7B-Chat to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for moxin-org/Moxin-7B-Chat to start chatting
- Docker Model Runner
How to use moxin-org/Moxin-7B-Chat with Docker Model Runner:
docker model run hf.co/moxin-org/Moxin-7B-Chat
- Lemonade
How to use moxin-org/Moxin-7B-Chat with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull moxin-org/Moxin-7B-Chat
Run and chat with the model
lemonade run user.Moxin-7B-Chat-{{QUANT_TAG}}List all available models
lemonade list
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- pytorch_model-00001.safetensors +3 -0
- pytorch_model-00002.safetensors +3 -0
- pytorch_model-00003.safetensors +3 -0
- pytorch_model-00004.safetensors +3 -0
- pytorch_model-00005.safetensors +3 -0
- pytorch_model-00006.safetensors +3 -0
- pytorch_model-00007.safetensors +3 -0
- pytorch_model-00008.safetensors +3 -0
- pytorch_model-00009.safetensors +3 -0
- pytorch_model-00010.safetensors +3 -0
- pytorch_model-00011.safetensors +3 -0
- pytorch_model-00012.safetensors +3 -0
- pytorch_model-00013.safetensors +3 -0
- pytorch_model-00014.safetensors +3 -0
- pytorch_model-00015.safetensors +3 -0
- pytorch_model-00016.safetensors +3 -0
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