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SpyazWeb_AI_DeepMind_Project-i1-GGUF

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metadata
base_model: LeroyDyer/SpyazWeb_AI_DeepMind_Project
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
  - gretelai/synthetic_text_to_sql
  - HuggingFaceTB/cosmopedia
  - teknium/OpenHermes-2.5
  - 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
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - text-generation-inference
  - transformers
  - leaderboard
  - mistral
  - trl

About

weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpyazWeb_AI_DeepMind_Project

static quants are available at https://huggingface.co/mradermacher/SpyazWeb_AI_DeepMind_Project-GGUF

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 i1-IQ1_S 1.7 for the desperate
GGUF i1-IQ1_M 1.9 mostly desperate
GGUF i1-IQ2_XXS 2.1
GGUF i1-IQ2_XS 2.3
GGUF i1-IQ2_S 2.4
GGUF i1-IQ2_M 2.6
GGUF i1-Q2_K_S 2.6 very low quality
GGUF i1-Q2_K 2.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.9 lower quality
GGUF i1-IQ3_XS 3.1
GGUF i1-Q3_K_S 3.3 IQ3_XS probably better
GGUF i1-IQ3_S 3.3 beats Q3_K*
GGUF i1-IQ3_M 3.4
GGUF i1-Q3_K_M 3.6 IQ3_S probably better
GGUF i1-Q3_K_L 3.9 IQ3_M probably better
GGUF i1-IQ4_XS 4.0
GGUF i1-Q4_0 4.2 fast, low quality
GGUF i1-IQ4_NL 4.2 prefer IQ4_XS
GGUF i1-Q4_K_S 4.2 optimal size/speed/quality
GGUF i1-Q4_K_M 4.5 fast, recommended
GGUF i1-Q4_1 4.7
GGUF i1-Q5_K_S 5.1
GGUF i1-Q5_K_M 5.2
GGUF i1-Q6_K 6.0 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.