---
base_model:
- paulml/OmniBeagleSquaredMBX-v3-7B
- ZySec-AI/ZySec-7B-v1
- liminerity/Omningotex-7b-slerp
- localfultonextractor/Erosumika-7B
- KatyTheCutie/LemonadeRP-4.5.3
- cgato/Thespis-Krangled-7b
- CorticalStack/pastiche-crown-clown-7b-dare
- snorkelai/Snorkel-Mistral-PairRM-DPO
- MTSAIR/multi_verse_model
language:
- en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
- merge
- conversational
- multi-task
---
## About

static quants of https://huggingface.co./maldv/winter-garden-7b-alpha


<!-- provided-files -->
## 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/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q2_K.gguf) | Q2_K | 3.0 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.IQ3_XS.gguf) | IQ3_XS | 3.3 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q3_K_S.gguf) | Q3_K_S | 3.4 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.IQ3_S.gguf) | IQ3_S | 3.4 | fast, beats Q3_K* |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.IQ3_M.gguf) | IQ3_M | 3.5 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q3_K_M.gguf) | Q3_K_M | 3.8 | lower quality |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q3_K_L.gguf) | Q3_K_L | 4.1 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.IQ4_XS.gguf) | IQ4_XS | 4.2 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, medium quality |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, medium quality |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q5_K_S.gguf) | Q5_K_S | 5.3 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q5_K_M.gguf) | Q5_K_M | 5.4 |  |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
| [GGUF](https://huggingface.co./mradermacher/winter-garden-7b-alpha-GGUF/resolve/main/winter-garden-7b-alpha.Q8_0.gguf) | Q8_0 | 7.9 | 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

## 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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