File size: 7,047 Bytes

---
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
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>

[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
[![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock)
[![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock)


## BSC-LT/ALIA-40b - GGUF

This repo contains GGUF format model files for [BSC-LT/ALIA-40b](https://huggingface.co/BSC-LT/ALIA-40b).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4658](https://github.com/ggerganov/llama.cpp/commit/855cd0734aca26c86cc23d94aefd34f934464ac9).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
  <tr>
    <th colspan="2">
      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
    </th>
  </tr>
  <tr>
    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
  </tr>
  <tr>
    <th colspan="2">
      <a href="https://github.com/TensorBlock/forge" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">🚀 Try it now! 🚀</a>
    </th>
  </tr>

  <tr>
    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
  </tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
  <tr>
    <th>
      <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
    <th>
      <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
  </tr>
</table>
## 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](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/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](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q3_K_S.gguf) | Q3_K_S | 18.202 GB | very small, high quality loss |
| [ALIA-40b-Q3_K_M.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q3_K_M.gguf) | Q3_K_M | 20.045 GB | very small, high quality loss |
| [ALIA-40b-Q3_K_L.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q3_K_L.gguf) | Q3_K_L | 21.628 GB | small, substantial quality loss |
| [ALIA-40b-Q4_0.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/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](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q4_K_S.gguf) | Q4_K_S | 23.449 GB | small, greater quality loss |
| [ALIA-40b-Q4_K_M.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q4_K_M.gguf) | Q4_K_M | 24.592 GB | medium, balanced quality - recommended |
| [ALIA-40b-Q5_0.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/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](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q5_K_S.gguf) | Q5_K_S | 28.086 GB | large, low quality loss - recommended |
| [ALIA-40b-Q5_K_M.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q5_K_M.gguf) | Q5_K_M | 28.754 GB | large, very low quality loss - recommended |
| [ALIA-40b-Q6_K.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/ALIA-40b-Q6_K.gguf) | Q6_K | 33.177 GB | very large, extremely low quality loss |
| [ALIA-40b-Q8_0.gguf](https://huggingface.co/tensorblock/ALIA-40b-GGUF/blob/main/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

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
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:

```shell
huggingface-cli download tensorblock/ALIA-40b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```