mradermacher/Llama-3-Instruct-Neurona-8b-GGUF

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base_model: Iker/Llama-3-Instruct-Neurona-8b datasets:

• pinzhenchen/alpaca-cleaned-es
• Danielbrdz/Barcenas-Economia
• HiTZ/casimedicos-exp
• somosnlp/coserresumenes
• csebuetnlp/CrossSum
• Iker/Document-Translation-en-es
• somosnlp/es-inclusive-language-it
• FreedomIntelligence/evol-instruct-spanish
• glaiveai/glaive-code-assistant-v3
• glaiveai/glaive-function-calling-v2
• Iker/InstructTranslation-EN-ES
• somosnlp/lenguaje-claro-dataset
• somosnlp/LingCompQA
• bltlab/lr-sum
• Iker/NoticIA
• xaviviro/oasst2esgpt
• teknium/OpenHermes-2.5
• Iker/OpenHermes-2.5-Spanish
• Helsinki-NLP/opus-100
• projecte-aina/RAGMultilingual
• semeval2018task1
• davidstap/tedtalks
• HiTZ/This-is-not-a-dataset
• wikipedia

language:

• es
• en

library_name: transformers license: llama3 quantized_by: mradermacher tags:

• synthetic

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About

static quants of https://huggingface.co/Iker/Llama-3-Instruct-Neurona-8b

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs 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	3.3
GGUF	IQ3_XS	3.6
GGUF	Q3K_S	3.8
GGUF	IQ3S	3.8	beats Q3K*
GGUF	IQ3_M	3.9
GGUF	Q3K_M	4.1	lower quality
GGUF	Q3K_L	4.4
GGUF	IQ4_XS	4.6
GGUF	Q4K_S	4.8	fast, recommended
GGUF	Q4K_M	5.0	fast, recommended
GGUF	Q5K_S	5.7
GGUF	Q5K_M	5.8
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	16 bpw, overkill

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.