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navyaparesh/llama-3.2-3b-q8-k-m
llama-3.2-3b-q8-k-m is a machine learning model from navyaparesh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository provides an 8-bit quantized version of Meta's Llama 3.2B for efficient deployment on resource-constrained environments (CPU and small GPUs). The GGUF file uses q80 quantization (8-bit) — a good tradeof…
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From the Hugging Face model README
This repository provides an 8-bit quantized version of Meta's Llama 3.2B for efficient deployment on resource-constrained environments (CPU and small GPUs). The GGUF file uses q8_0 quantization (8-bit) — a good tradeoff between size and quality for small models.Please refer to the original model card for full details on its capabilities and limitations.
Base model: Llama 3.2B (Meta AI)
Quantization: 8-bit Post-Training Quantization (q8_0) — GGUF.
Format: GGUF (compatible with llama.cpp, GPT4All, Ollama).
Model file: llama_3.2_3b_q8_k_m.gguf
# Run with llama.cpp
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make
# then:
./main -m ./llama_3.2_3b_q8_k_m.gguf -p "Hello, how are you?"
You can download this model directly via:
git lfs install
git clone https://huggingface.co/navyaparesh/llama-3.2-3b-q8-k-m
Or programmatically:
from huggingface_hub import snapshot_download
snapshot_download(repo_id="navyaparesh/llama-3.2-3b-q4-k-m", local_dir="models/llama3-quantized")