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WORLD_ARCHIVES_II-GGUF

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GGUF
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text-generation-inference
unsloth
mistral
trl
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metadata
base_model: LeroyDyer/WORLD_ARCHIVES_II
datasets:
  - gretelai/synthetic_text_to_sql
  - HuggingFaceTB/cosmopedia
  - teknium/OpenHermes-2.5
  - Open-Orca/SlimOrca
  - Open-Orca/OpenOrca
  - cognitivecomputations/dolphin-coder
  - databricks/databricks-dolly-15k
  - yahma/alpaca-cleaned
  - uonlp/CulturaX
  - mwitiderrick/SwahiliPlatypus
  - swahili
  - Rogendo/English-Swahili-Sentence-Pairs
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - meta-math/MetaMathQA
  - abacusai/ARC_DPO_FewShot
  - abacusai/MetaMath_DPO_FewShot
  - abacusai/HellaSwag_DPO_FewShot
  - HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
  - HuggingFaceFW/fineweb
  - occiglot/occiglot-fineweb-v0.5
  - omi-health/medical-dialogue-to-soap-summary
  - keivalya/MedQuad-MedicalQnADataset
  - ruslanmv/ai-medical-dataset
  - Shekswess/medical_llama3_instruct_dataset_short
  - ShenRuililin/MedicalQnA
  - virattt/financial-qa-10K
  - PatronusAI/financebench
  - takala/financial_phrasebank
  - Replete-AI/code_bagel
  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
  - IlyaGusev/gpt_roleplay_realm
  - rickRossie/bluemoon_roleplay_chat_data_300k_messages
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl

About

static quants of https://huggingface.co/LeroyDyer/WORLD_ARCHIVES_II

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 2.8
GGUF IQ3_XS 3.1
GGUF Q3_K_S 3.3
GGUF IQ3_S 3.3 beats Q3_K*
GGUF IQ3_M 3.4
GGUF Q3_K_M 3.6 lower quality
GGUF Q3_K_L 3.9
GGUF IQ4_XS 4.0
GGUF Q4_K_S 4.2 fast, recommended
GGUF Q4_K_M 4.5 fast, recommended
GGUF Q5_K_S 5.1
GGUF Q5_K_M 5.2
GGUF Q6_K 6.0 very good quality
GGUF Q8_0 7.8 fast, best quality
GGUF f16 14.6 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.