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

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metadata
base_model: Iker/Llama-3-Instruct-Neurona-8b
datasets:
  - pinzhenchen/alpaca-cleaned-es
  - Danielbrdz/Barcenas-Economia
  - HiTZ/casimedicos-exp
  - somosnlp/coser_resumenes
  - 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/LingComp_QA
  - bltlab/lr-sum
  - Iker/NoticIA
  - xaviviro/oasst2_es_gpt
  - teknium/OpenHermes-2.5
  - Iker/OpenHermes-2.5-Spanish
  - Helsinki-NLP/opus-100
  - projecte-aina/RAG_Multilingual
  - sem_eval_2018_task_1
  - davidstap/ted_talks
  - HiTZ/This-is-not-a-dataset
  - wikipedia
language:
  - es
  - en
library_name: transformers
license: llama3
quantized_by: mradermacher
tags:
  - synthetic

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 Q3_K_S 3.8
GGUF IQ3_S 3.8 beats Q3_K*
GGUF IQ3_M 3.9
GGUF Q3_K_M 4.1 lower quality
GGUF Q3_K_L 4.4
GGUF IQ4_XS 4.6
GGUF Q4_K_S 4.8 fast, recommended
GGUF Q4_K_M 5.0 fast, recommended
GGUF Q5_K_S 5.7
GGUF Q5_K_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.