transformers gguf en dataset:jondurbin/airoboros-3.2 dataset:bluemoon-fandom-1-1-rp-cleaned dataset:boolq dataset:LDJnr/Capybara dataset:jondurbin/cinematika-v0.1 dataset:glaiveai/glaive-function-calling-v2 dataset:grimulkan/LimaRP-augmented dataset:piqa dataset:Vezora/Tested-22k-Python-Alpaca dataset:mattpscott/airoboros-summarization dataset:unalignment/toxic-dpo-v0.2 dataset:allenai/ultrafeedback_binarized_cleaned dataset:argilla/distilabel-intel-orca-dpo-pairs dataset:jondurbin/contextual-dpo-v0.1 dataset:jondurbin/gutenberg-dpo-v0.1 dataset:jondurbin/py-dpo-v0.1 dataset:jondurbin/truthy-dpo-v0.1 dataset:lmsys/lmsys-chat-1m base_model:jondurbin/airoboros-dpo-110b-3.3 base_model:quantized:jondurbin/airoboros-dpo-110b-3.3 license:other endpoints_compatible region:us imatrix conversational
---
base_model: jondurbin/airoboros-dpo-110b-3.3
datasets:
- jondurbin/airoboros-3.2
- bluemoon-fandom-1-1-rp-cleaned
- boolq
- LDJnr/Capybara
- jondurbin/cinematika-v0.1
- glaiveai/glaive-function-calling-v2
- grimulkan/LimaRP-augmented
- piqa
- Vezora/Tested-22k-Python-Alpaca
- mattpscott/airoboros-summarization
- unalignment/toxic-dpo-v0.2
- allenai/ultrafeedback_binarized_cleaned
- argilla/distilabel-intel-orca-dpo-pairs
- jondurbin/airoboros-3.2
- jondurbin/contextual-dpo-v0.1
- jondurbin/gutenberg-dpo-v0.1
- jondurbin/py-dpo-v0.1
- jondurbin/truthy-dpo-v0.1
- jondurbin/gutenberg-dpo-v0.1
- lmsys/lmsys-chat-1m
language:
- en
library_name: transformers
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE
quantized_by: mradermacher
---
## About

<!-- ### quantize_version: 2 -->
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weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-dpo-110b-3.3

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static quants are available at https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-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/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ1_S.gguf) | i1-IQ1_S | 23.7 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ1_M.gguf) | i1-IQ1_M | 26.0 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 29.9 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 33.1 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ2_S.gguf) | i1-IQ2_S | 34.4 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ2_M.gguf) | i1-IQ2_M | 37.5 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q2_K.gguf) | i1-Q2_K | 41.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 43.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 46.0 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ3_S.gguf) | i1-IQ3_S | 48.6 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 48.6 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ3_M.gguf) | i1-IQ3_M | 49.8 |  |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 53.8 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 58.2 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 59.7 |  |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 63.2 | fast, low quality |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 63.6 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 67.3 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 76.7 |  |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 78.9 |  |
| [PART 1](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-dpo-110b-3.3-i1-GGUF/resolve/main/airoboros-dpo-110b-3.3.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 91.3 | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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