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BSC-LT/ALIA-40b - GGUF

This repo contains GGUF format model files for BSC-LT/ALIA-40b.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4658.

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Model file specification

Filename Quant type File Size Description
ALIA-40b-Q2_K.gguf Q2_K 15.712 GB smallest, significant quality loss - not recommended for most purposes
ALIA-40b-Q3_K_S.gguf Q3_K_S 18.202 GB very small, high quality loss
ALIA-40b-Q3_K_M.gguf Q3_K_M 20.045 GB very small, high quality loss
ALIA-40b-Q3_K_L.gguf Q3_K_L 21.628 GB small, substantial quality loss
ALIA-40b-Q4_0.gguf Q4_0 23.294 GB legacy; small, very high quality loss - prefer using Q3_K_M
ALIA-40b-Q4_K_S.gguf Q4_K_S 23.449 GB small, greater quality loss
ALIA-40b-Q4_K_M.gguf Q4_K_M 24.592 GB medium, balanced quality - recommended
ALIA-40b-Q5_0.gguf Q5_0 28.086 GB legacy; medium, balanced quality - prefer using Q4_K_M
ALIA-40b-Q5_K_S.gguf Q5_K_S 28.086 GB large, low quality loss - recommended
ALIA-40b-Q5_K_M.gguf Q5_K_M 28.754 GB large, very low quality loss - recommended
ALIA-40b-Q6_K.gguf Q6_K 33.177 GB very large, extremely low quality loss
ALIA-40b-Q8_0.gguf Q8_0 42.970 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/ALIA-40b-GGUF --include "ALIA-40b-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/ALIA-40b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
180
GGUF
Model size
40.4B params
Architecture
llama
Hardware compatibility
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Model tree for tensorblock/ALIA-40b-GGUF

Base model

BSC-LT/ALIA-40b
Quantized
(11)
this model

Datasets used to train tensorblock/ALIA-40b-GGUF