Llama 3.2 1B Instruct by Meta-Llama as Llamafile
For more informations about LLama Files see: https://github.com/Mozilla-Ocho/llamafile
This model is packaged into executable weights that we call llamafiles. This gives you the easiest fastest way to use the model on Linux, MacOS, Windows, FreeBSD, OpenBSD and NetBSD systems you control on both AMD64 and ARM64.
Quickstart
wget https://huggingface.co/wirthual/Meta-Llama-3.2-1B-Instruct-llamafile/resolve/main/Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
chmod +x Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
./Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile
You can then use the completion mode of the GUI to experiment with this model. You can prompt the model for completions on the command line too:
./Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile -p 'four score and seven' --log-disable
Note: Change the path depending on the version of the model you want to test.
For further information, please see the llamafile README.
Having trouble? See the "Gotchas" section of the README.
Technical Details
Llama 3.2 is optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.
Officially supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai languages, but is trained on even more.
128K context length support
Derived from: lmstudio-community
Model creator: meta-llama
Original model: Llama-3.2-1B-Instruct
GGUF quantization: provided by bartowski based on llama.cpp
release b3821
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
Disclaimers
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