---
base_model: spow12/ChatWaifu_v2.0_22B
datasets:
- roleplay4fun/aesir-v1.1
- kalomaze/Opus_Instruct_3k
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
- Aratako/Synthetic-JP-EN-Coding-Dataset-567k
- Aratako/Synthetic-Japanese-Roleplay-gpt-4o-mini-39.6k-formatted
- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-15.3k-formatted
- Aratako_Rosebleu_1on1_Dialogues_RP
- SkunkworksAI/reasoning-0.01
- jondurbin_gutenberg_dpo
- nbeerbower_gutenberg2_dpo
- jondurbi_py_dpo
- jondurbin_truthy_dpo
- flammenai_character_roleplay_DPO
- kyujinpy_orca_math_dpo
- argilla_Capybara_Preferences
- antiven0m_physical_reasoning_dpo
- aixsatoshi_Swallow_MX_chatbot_DPO
language:
- en
- ja
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
- nsfw
- Visual novel
- roleplay
- mergekit
- merge
---
## About

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static quants of https://huggingface.co/spow12/ChatWaifu_v2.0_22B

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weighted/imatrix quants are available at https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-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/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q2_K.gguf) | Q2_K | 8.4 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q3_K_S.gguf) | Q3_K_S | 9.7 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q3_K_M.gguf) | Q3_K_M | 10.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q3_K_L.gguf) | Q3_K_L | 11.8 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.IQ4_XS.gguf) | IQ4_XS | 12.1 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q4_K_S.gguf) | Q4_K_S | 12.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q4_K_M.gguf) | Q4_K_M | 13.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q5_K_S.gguf) | Q5_K_S | 15.4 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q5_K_M.gguf) | Q5_K_M | 15.8 |  |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q6_K.gguf) | Q6_K | 18.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/ChatWaifu_v2.0_22B-GGUF/resolve/main/ChatWaifu_v2.0_22B.Q8_0.gguf) | Q8_0 | 23.7 | 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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