mradermacher/ALIA-40b-instruct-2606-GGUF overview

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base_model: BSC-LT/ALIA-40b-instruct-2606

datasets:

• CohereLabs/aya_dataset
• projecte-aina/CoQCat
• databricks/databricks-dolly-15k
• projecte-aina/dolly3k_ca
• projecte-aina/MentorES
• projecte-aina/MentorCA
• HuggingFaceH4/no_robots
• projecte-aina/RAG_Multilingual
• Unbabel/TowerBlocks-v0.2
• OpenAssistant/oasst2
• open-r1/OpenR1-Math-220k
• HuggingFaceFW/fineweb-edu
• allenai/WildChat-1M
• BSC-LT/ACAData

language:

• ca
• en
• es
• eu
• gl

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

---

About

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static quants of https://huggingface.co/BSC-LT/ALIA-40b-instruct-2606

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For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/ALIA-40b-instruct-2606-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 15.8 | |

| GGUF | Q3_K_S | 18.3 | |

| GGUF | Q3_K_M | 20.1 | lower quality |

| GGUF | Q3_K_L | 21.7 | |

| GGUF | IQ4_XS | 22.4 | |

| GGUF | Q4_K_S | 23.5 | fast, recommended |

| GGUF | Q4_K_M | 24.7 | fast, recommended |

| GGUF | Q5_K_S | 28.2 | |

| GGUF | Q5_K_M | 28.9 | |

| GGUF | Q6_K | 33.3 | very good quality |

| GGUF | Q8_0 | 43.1 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

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