Model: mradermacher/ALIA-40b-GGUF
Author: mradermacher
Library: transformers
Tags: transformers, gguf, bg, ca, code, cs, cy, da, de, el, en, es, et, eu, fi, fr, ga, gl, hr, hu, it, lt, lv, mt, nl, nn, oc, pl, pt, ro, ru, sh, sk, sl, sr, sv, uk, dataset:oscar-corpus/colossal-oscar-1.0, dataset:HuggingFaceFW/fineweb-edu, dataset:joelniklaus/eurlex_resources, dataset:joelniklaus/legal-mc4, dataset:projecte-aina/CATalog, dataset:UFRGS/brwac, dataset:community-datasets/hrwac, dataset:danish-foundation-models/danish-gigaword, dataset:HiTZ/euscrawl, dataset:PleIAs/French-PD-Newspapers, dataset:PleIAs/French-PD-Books, dataset:AI-team-UoA/greek_legal_code, dataset:HiTZ/latxa-corpus-v1.1, dataset:allenai/peS2o, dataset:pile-of-law/pile-of-law, dataset:PORTULAN/parlamento-pt, dataset:hoskinson-center/proof-pile, dataset:togethercomputer/RedPajama-Data-1T, dataset:bigcode/starcoderdata, dataset:bjoernp/tagesschau-2018-2023, dataset:EleutherAI/the_pile_deduplicated, base_model:BSC-LT/ALIA-40b, base_model:quantized:BSC-LT/ALIA-40b, license:apache-2.0, endpoints_compatible, region:us
Base models (quantized): id: BSC-LT/ALIA-40b
Card metadata: base_model: BSC-LT/ALIA-40b
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
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
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
Likes: 2 | All-time downloads: 3235
Created: 2025-01-21 07:05:17