by hugging-quants
Open source · 838k downloads · 46 likes
The Llama 3.2 1B Instruct Q8 0 GGUF model is an optimized and quantized version of the Llama 3.2 1B Instruct model, specifically designed to run efficiently on limited resources. It excels in understanding and generating text while following precise instructions, making it ideal for tasks such as conversational assistance, question answering, or structured content generation. Thanks to its reduced size and quantization, it strikes a good balance between performance and resource consumption while maintaining high response quality. This model stands out for its ability to adapt to environments with constrained hardware while remaining effective for a variety of applications.
This model was converted to GGUF format from meta-llama/Llama-3.2-1B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF --hf-file llama-3.2-1b-instruct-q8_0.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF --hf-file llama-3.2-1b-instruct-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF --hf-file llama-3.2-1b-instruct-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF --hf-file llama-3.2-1b-instruct-q8_0.gguf -c 2048