Instructions to use ataeff/molequla 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 ataeff/molequla 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 ataeff/molequla:Q4_0 # Run inference directly in the terminal: llama cli -hf ataeff/molequla:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ataeff/molequla:Q4_0 # Run inference directly in the terminal: llama cli -hf ataeff/molequla:Q4_0
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 ataeff/molequla:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf ataeff/molequla:Q4_0
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 ataeff/molequla:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ataeff/molequla:Q4_0
Use Docker
docker model run hf.co/ataeff/molequla:Q4_0
- LM Studio
- Jan
- Ollama
How to use ataeff/molequla with Ollama:
ollama run hf.co/ataeff/molequla:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use ataeff/molequla with Docker Model Runner:
docker model run hf.co/ataeff/molequla:Q4_0
- Lemonade
How to use ataeff/molequla with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ataeff/molequla:Q4_0
Run and chat with the model
lemonade run user.molequla-Q4_0
List all available models
lemonade list
- Atomic Chat
Download ears/ggml-base.bin from ataeff/molequla: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/ataeff/molequla/resolve/0c9170d97db72c4f1908d29261495e1067856e9e/ears/ggml-base.bin
- Command line
-
hf download hf://ataeff/molequla@0c9170d97db72c4f1908d29261495e1067856e9e/ears/ggml-base.bin
-
curl -L -o ggml-base.bin https://huggingface.co/ataeff/molequla/resolve/0c9170d97db72c4f1908d29261495e1067856e9e/ears/ggml-base.bin
148 MB
- Xet hash:
- 8150a3f93ca89143f210c41c02136a5a6ed138b73e4fe22ebf0c750ac06d0282
- Size of remote file:
- 148 MB
- SHA256:
- 60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe
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