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metadata
base_model: Delta-Vector/Sol-Reaver-15B-Instruct
datasets:
  - Delta-Vector/Hydrus-Instruct-SmolTalk-V2
  - Delta-Vector/Hydrus-SonnetOrca-V2
  - Delta-Vector/Hydrus-FeedSum-ShareGPT
  - Delta-Vector/Hydrus-Tulu-Personas-Filtered-Sharegpt
  - Delta-Vector/Hydrus-No_Robots-R1-Filtered
  - Delta-Vector/Hydrus-Chat_error-Pure-Dove-sharegpt
  - Delta-Vector/Hydrus-HelpSteer2
  - Delta-Vector/Hydrus-R1-Thinking-Sharegpt
  - Delta-Vector/Hydrus-Science-QA-sharegpt
  - Delta-Vector/Hydrus-Claude-Instruct-2.7K
  - Delta-Vector/Hydrus-Claude-Instruct-5K
  - PocketDoc/Dans-Assistantmaxx-UnnaturalInstructions-GPT4
  - PocketDoc/Dans-Toolmaxx-ShellCommands
  - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
  - PocketDoc/Dans-Logicmaxx-SAT-AP
  - PocketDoc/Dans-Benchmaxx
  - Nitral-AI/ARES-ShareGPT
  - PocketDoc/Dans-Taskmaxx-TableGPT
  - Delta-Vector/Ursa-Erebus-16K
  - Delta-Vector/Ursa-Books-Light-Novels-V1
  - NewEden/Orion-LIT
  - Delta-Vector/Ursa-Asstr-V2-18k
  - Delta-Vector/Ursa-Books-V2
  - Delta-Vector/Ursa-Scribblehub-7k
  - Delta-Vector/Ursa-Orion-EA-Comp-Filtered
  - Delta-Vector/Ursa-HoneyFeed
  - Delta-Vector/Ursa-Falling-through-the-world
language:
  - en
library_name: transformers
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - roleplay
  - instruct
  - creative_writing
  - story-writing
  - mistral

About

static quants of https://huggingface.co/Delta-Vector/Sol-Reaver-15B-Instruct

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-i1-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 Q2_K 5.9
GGUF Q3_K_S 6.8
GGUF Q3_K_M 7.5 lower quality
GGUF Q3_K_L 8.1
GGUF IQ4_XS 8.4
GGUF Q4_K_S 8.8 fast, recommended
GGUF Q4_K_M 9.2 fast, recommended
GGUF Q5_K_S 10.5
GGUF Q5_K_M 10.8
GGUF Q6_K 12.4 very good quality
GGUF Q8_0 16.0 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.