README.md

---
base_model: deepnight-research/saily_100b
language:
- en
library_name: transformers
license: mit
license_link: LICENSE
license_name: deepnight-responsible-ai
quantized_by: mradermacher
---
## About

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weighted/imatrix quants of https://huggingface.co/deepnight-research/saily_100b

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static quants are available at https://huggingface.co/mradermacher/saily_100b-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/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ1_S.gguf) | i1-IQ1_S | 24.8 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ1_M.gguf) | i1-IQ1_M | 27.2 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 31.2 |  |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 34.7 |  |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ2_S.gguf) | i1-IQ2_S | 36.5 |  |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ2_M.gguf) | i1-IQ2_M | 39.7 |  |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q2_K.gguf) | i1-Q2_K | 43.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 45.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 48.2 |  |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_S.gguf.part2of2) | i1-Q3_K_S | 50.8 | IQ3_XS probably better |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_S.gguf.part2of2) | i1-IQ3_S | 51.0 | beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 52.7 |  |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 56.7 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 61.8 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 62.9 |  |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 66.7 | fast, low quality |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 66.9 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 70.7 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 81.1 |  |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 83.3 |  |
| [PART 1](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/saily_100b-i1-GGUF/resolve/main/saily_100b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 96.7 | practically like static Q6_K |

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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