---
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:
- llama-cpp
- ALIA-40b
- gguf
- Q4_0
- 40b
- ALIA
- 4-bit
- llama-cpp
- BSC-LT
- code
- math
- chat
- roleplay
- text-generation
- safetensors
- nlp
- code
base_model: BSC-LT/ALIA-40b
---

# roleplaiapp/ALIA-40b-Q4_0-GGUF

**Repo:** `roleplaiapp/ALIA-40b-Q4_0-GGUF`  
**Original Model:** `ALIA-40b`
**Organization:** `BSC-LT`
**Quantized File:** `alia-40b-q4_0.gguf`
**Quantization:** `GGUF`
**Quantization Method:** `Q4_0`  
**Use Imatrix:** `False`  
**Split Model:** `False`

## Overview
This is an GGUF Q4_0 quantized version of [ALIA-40b](https://huggingface.co/BSC-LT/ALIA-40b).

## Quantization By
I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
I hope the community finds these quantizations useful.

Andrew Webby @ [RolePlai](https://roleplai.app/)