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---
base_model: 01-ai/yi-34b-200k
datasets:
- jondurbin/airoboros-3.2
- bluemoon-fandom-1-1-rp-cleaned
- boolq
- jondurbin/gutenberg-dpo-v0.1
- 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
exported_from: jondurbin/airoboros-34b-3.3
language:
- en
library_name: transformers
license: other
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
license_name: yi-license
quantized_by: mradermacher
---
## About

<!-- ### convert_type:  -->
<!-- ### vocab_type:  -->
weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-34b-3.3


<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/airoboros-34b-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-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.0 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ2_M.gguf) | i1-IQ2_M | 12.5 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q2_K.gguf) | i1-Q2_K | 13.5 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.9 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.6 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ3_S.gguf) | i1-IQ3_S | 15.7 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ3_M.gguf) | i1-IQ3_M | 16.2 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.3 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.8 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-IQ4_XS.gguf) | i1-IQ4_XS | 19.1 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q4_0.gguf) | i1-Q4_0 | 20.2 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.2 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q5_K_S.gguf) | i1-Q5_K_S | 24.3 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.0 |  |
| [GGUF](https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF/resolve/main/airoboros-34b-3.3.i1-Q6_K.gguf) | i1-Q6_K | 28.9 | 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

## 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 -->