---
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

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

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Sol-Reaver-15B-Instruct-GGUF).***

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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q2_K.gguf) | Q2_K | 5.9 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q3_K_S.gguf) | Q3_K_S | 6.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q3_K_M.gguf) | Q3_K_M | 7.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q3_K_L.gguf) | Q3_K_L | 8.1 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.IQ4_XS.gguf) | IQ4_XS | 8.4 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q4_K_S.gguf) | Q4_K_S | 8.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q4_K_M.gguf) | Q4_K_M | 9.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q5_K_S.gguf) | Q5_K_S | 10.5 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q5_K_M.gguf) | Q5_K_M | 10.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q6_K.gguf) | Q6_K | 12.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Sol-Reaver-15B-Instruct-GGUF/resolve/main/Sol-Reaver-15B-Instruct.Q8_0.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](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

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