|
--- |
|
exported_from: Kotokin/Merged-RP-Stew-V2-51B |
|
language: |
|
- en |
|
library_name: transformers |
|
license: other |
|
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE |
|
license_name: yi-34b |
|
quantized_by: mradermacher |
|
tags: |
|
- merge |
|
- roleplay |
|
- exl2 |
|
- not-for-all-audiences |
|
--- |
|
## About |
|
|
|
<!-- ### quantize_version: 1 --> |
|
<!-- ### output_tensor_quantised: 1 --> |
|
<!-- ### convert_type: --> |
|
<!-- ### vocab_type: --> |
|
static quants of https://huggingface.co/Kotokin/Merged-RP-Stew-V2-51B |
|
|
|
|
|
<!-- provided-files --> |
|
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](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/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q2_K.gguf) | Q2_K | 19.1 | | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q3_K_S.gguf) | Q3_K_S | 22.3 | | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.IQ3_S.gguf) | IQ3_S | 22.3 | beats Q3_K* | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.IQ3_M.gguf) | IQ3_M | 23.2 | | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q3_K_M.gguf) | Q3_K_M | 24.8 | lower quality | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q4_K_S.gguf) | Q4_K_S | 29.2 | fast, recommended | |
|
| [GGUF](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q6_K.gguf) | Q6_K | 42.0 | very good quality | |
|
| [PART 1](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Merged-RP-Stew-V2-51B-GGUF/resolve/main/Merged-RP-Stew-V2-51B.Q8_0.gguf.part2of2) | Q8_0 | 54.4 | fast, best quality | |
|
|
|
|
|
Here is a handy graph by ikawrakow comparing some lower-quality quant |
|
types (lower is better): |
|
|
|
 |
|
|
|
And here are Artefact2's thoughts on the matter: |
|
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
|
|
|
## 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. |
|
|
|
<!-- end --> |
|
|
