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AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE - GGUF

This repo contains GGUF format model files for AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

Cutting Knowledge Date: December 2023
Today Date: 26 Nov 2024

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Model file specification

Filename Quant type File Size Description
EZO-Llama-3.2-3B-Instruct-dpoE-Q2_K.gguf Q2_K 1.364 GB smallest, significant quality loss - not recommended for most purposes
EZO-Llama-3.2-3B-Instruct-dpoE-Q3_K_S.gguf Q3_K_S 1.543 GB very small, high quality loss
EZO-Llama-3.2-3B-Instruct-dpoE-Q3_K_M.gguf Q3_K_M 1.687 GB very small, high quality loss
EZO-Llama-3.2-3B-Instruct-dpoE-Q3_K_L.gguf Q3_K_L 1.815 GB small, substantial quality loss
EZO-Llama-3.2-3B-Instruct-dpoE-Q4_0.gguf Q4_0 1.917 GB legacy; small, very high quality loss - prefer using Q3_K_M
EZO-Llama-3.2-3B-Instruct-dpoE-Q4_K_S.gguf Q4_K_S 1.928 GB small, greater quality loss
EZO-Llama-3.2-3B-Instruct-dpoE-Q4_K_M.gguf Q4_K_M 2.019 GB medium, balanced quality - recommended
EZO-Llama-3.2-3B-Instruct-dpoE-Q5_0.gguf Q5_0 2.270 GB legacy; medium, balanced quality - prefer using Q4_K_M
EZO-Llama-3.2-3B-Instruct-dpoE-Q5_K_S.gguf Q5_K_S 2.270 GB large, low quality loss - recommended
EZO-Llama-3.2-3B-Instruct-dpoE-Q5_K_M.gguf Q5_K_M 2.322 GB large, very low quality loss - recommended
EZO-Llama-3.2-3B-Instruct-dpoE-Q6_K.gguf Q6_K 2.644 GB very large, extremely low quality loss
EZO-Llama-3.2-3B-Instruct-dpoE-Q8_0.gguf Q8_0 3.422 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/EZO-Llama-3.2-3B-Instruct-dpoE-GGUF --include "EZO-Llama-3.2-3B-Instruct-dpoE-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/EZO-Llama-3.2-3B-Instruct-dpoE-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
372
GGUF
Model size
3.21B params
Architecture
llama

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Inference Examples
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