roleplaiapp
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README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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language:
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- bg
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- ca
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- code
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- cs
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- cy
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- da
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- de
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- el
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- en
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- es
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- et
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- eu
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- fi
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- fr
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- ga
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- gl
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- hr
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- hu
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- it
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- lt
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- lv
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- mt
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- nl
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- nn
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- \no
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- oc
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- pl
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- pt
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- ro
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- ru
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- sh
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- sk
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- sl
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- sr
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- sv
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- uk
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datasets:
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- oscar-corpus/colossal-oscar-1.0
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- HuggingFaceFW/fineweb-edu
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- joelniklaus/eurlex_resources
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- joelniklaus/legal-mc4
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- projecte-aina/CATalog
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- UFRGS/brwac
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- community-datasets/hrwac
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- danish-foundation-models/danish-gigaword
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- HiTZ/euscrawl
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- PleIAs/French-PD-Newspapers
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- PleIAs/French-PD-Books
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- AI-team-UoA/greek_legal_code
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- HiTZ/latxa-corpus-v1.1
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- allenai/peS2o
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- pile-of-law/pile-of-law
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- PORTULAN/parlamento-pt
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- hoskinson-center/proof-pile
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- togethercomputer/RedPajama-Data-1T
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- bigcode/starcoderdata
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- bjoernp/tagesschau-2018-2023
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- EleutherAI/the_pile_deduplicated
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tags:
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- llama-cpp
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- ALIA-40b
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- gguf
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- Q4_0
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- 40b
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- ALIA
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- 4-bit
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- llama-cpp
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- BSC-LT
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- code
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- math
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- chat
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- roleplay
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- text-generation
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- safetensors
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- nlp
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- code
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base_model: BSC-LT/ALIA-40b
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---
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# roleplaiapp/ALIA-40b-Q4_0-GGUF
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**Repo:** `roleplaiapp/ALIA-40b-Q4_0-GGUF`
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**Original Model:** `ALIA-40b`
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**Organization:** `BSC-LT`
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**Quantized File:** `alia-40b-q4_0.gguf`
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**Quantization:** `GGUF`
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**Quantization Method:** `Q4_0`
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**Use Imatrix:** `False`
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**Split Model:** `False`
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## Overview
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This is an GGUF Q4_0 quantized version of [ALIA-40b](https://huggingface.co/BSC-LT/ALIA-40b).
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## Quantization By
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I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
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I hope the community finds these quantizations useful.
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Andrew Webby @ [RolePlai](https://roleplai.app/)
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