|
--- |
|
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 |
|
|
|
<!-- provided-files --> |
|
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): |
|
|
|
![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 |
|
|
|
<!-- end --> |
|
|