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vonjack/Phi-3-mini-4k-instruct-LLaMAfied - GGUF

This repo contains GGUF format model files for vonjack/Phi-3-mini-4k-instruct-LLaMAfied.

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

Prompt template

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Model file specification

Filename Quant type File Size Description
Phi-3-mini-4k-instruct-LLaMAfied-Q2_K.gguf Q2_K 1.447 GB smallest, significant quality loss - not recommended for most purposes
Phi-3-mini-4k-instruct-LLaMAfied-Q3_K_S.gguf Q3_K_S 1.682 GB very small, high quality loss
Phi-3-mini-4k-instruct-LLaMAfied-Q3_K_M.gguf Q3_K_M 1.878 GB very small, high quality loss
Phi-3-mini-4k-instruct-LLaMAfied-Q3_K_L.gguf Q3_K_L 2.045 GB small, substantial quality loss
Phi-3-mini-4k-instruct-LLaMAfied-Q4_0.gguf Q4_0 2.176 GB legacy; small, very high quality loss - prefer using Q3_K_M
Phi-3-mini-4k-instruct-LLaMAfied-Q4_K_S.gguf Q4_K_S 2.193 GB small, greater quality loss
Phi-3-mini-4k-instruct-LLaMAfied-Q4_K_M.gguf Q4_K_M 2.319 GB medium, balanced quality - recommended
Phi-3-mini-4k-instruct-LLaMAfied-Q5_0.gguf Q5_0 2.641 GB legacy; medium, balanced quality - prefer using Q4_K_M
Phi-3-mini-4k-instruct-LLaMAfied-Q5_K_S.gguf Q5_K_S 2.641 GB large, low quality loss - recommended
Phi-3-mini-4k-instruct-LLaMAfied-Q5_K_M.gguf Q5_K_M 2.715 GB large, very low quality loss - recommended
Phi-3-mini-4k-instruct-LLaMAfied-Q6_K.gguf Q6_K 3.136 GB very large, extremely low quality loss
Phi-3-mini-4k-instruct-LLaMAfied-Q8_0.gguf Q8_0 4.061 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/Phi-3-mini-4k-instruct-LLaMAfied-GGUF --include "Phi-3-mini-4k-instruct-LLaMAfied-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/Phi-3-mini-4k-instruct-LLaMAfied-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
261
GGUF
Model size
3.82B params
Architecture
llama

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3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
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