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---
datasets:
- jondurbin/airoboros-2.2.1
language:
- en
library_name: transformers
license: other
license_link: https://huggingface.co/tiiuae/falcon-180B/raw/main/LICENSE.txt
license_name: falcon-180b-tii-license-1.0
quantized_by: mradermacher
---
## About
static quants of https://huggingface.co/jondurbin/airoboros-180b-2.2.1
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/airoboros-180b-2.2.1-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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q2_K.gguf.part2of2) | Q2_K | 67.8 | |
| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q3_K_M.gguf.part2of2) | Q3_K_M | 86.5 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q4_K_M.gguf.part3of3) | Q4_K_M | 109.8 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/airoboros-180b-2.2.1-GGUF/resolve/main/airoboros-180b-2.2.1.Q6_K.gguf.part4of4) | Q6_K | 148.5 | very good quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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