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metadata
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
language:
  - bg
  - ca
  - code
  - cs
  - cy
  - da
  - de
  - el
  - en
  - es
  - et
  - eu
  - fi
  - fr
  - ga
  - gl
  - hr
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - nn
  - \no
  - oc
  - pl
  - pt
  - ro
  - ru
  - sh
  - sk
  - sl
  - sr
  - sv
  - uk
datasets:
  - oscar-corpus/colossal-oscar-1.0
  - HuggingFaceFW/fineweb-edu
  - joelniklaus/eurlex_resources
  - joelniklaus/legal-mc4
  - projecte-aina/CATalog
  - UFRGS/brwac
  - community-datasets/hrwac
  - danish-foundation-models/danish-gigaword
  - HiTZ/euscrawl
  - PleIAs/French-PD-Newspapers
  - PleIAs/French-PD-Books
  - AI-team-UoA/greek_legal_code
  - HiTZ/latxa-corpus-v1.1
  - allenai/peS2o
  - pile-of-law/pile-of-law
  - PORTULAN/parlamento-pt
  - hoskinson-center/proof-pile
  - togethercomputer/RedPajama-Data-1T
  - bigcode/starcoderdata
  - bjoernp/tagesschau-2018-2023
  - EleutherAI/the_pile_deduplicated
tags:
  - TensorBlock
  - GGUF
base_model: BSC-LT/ALIA-40b
TensorBlock

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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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## Prompt template 
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

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'