metadata
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
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 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 PART 2 | Q2_K | 67.8 | |
| PART 1 PART 2 | IQ3_XS | 76.3 | |
| PART 1 PART 2 | IQ3_S | 78.8 | fast, beats Q3_K* |
| PART 1 PART 2 | Q3_K_S | 78.8 | |
| PART 1 PART 2 | IQ3_M | 82.4 | |
| PART 1 PART 2 | Q3_K_M | 86.5 | lower quality |
| PART 1 PART 2 | Q3_K_L | 93.0 | |
| PART 1 PART 2 PART 3 | IQ4_XS | 98.3 | |
| PART 1 PART 2 PART 3 | Q4_K_S | 102.5 | fast, medium quality |
| PART 1 PART 2 PART 3 | Q4_K_M | 109.8 | fast, medium quality |
| PART 1 PART 2 PART 3 | Q5_K_S | 124.8 | |
| PART 1 PART 2 PART 3 | Q5_K_M | 132.0 | |
| PART 1 PART 2 PART 3 PART 4 | Q6_K | 148.5 | very good quality |
| PART 1 PART 2 PART 3 PART 4 | Q8_0 | 191.8 | fast, best 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