metadata
language:
- en
library_name: transformers
quantized_by: mradermacher
About
static quants of https://huggingface.co/OnlyThings/Only-70B-v0.6-laserSNR
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 |
|---|---|---|---|
| GGUF | Q2_K | 25.9 | |
| GGUF | Q3_K_XS | 28.7 | |
| GGUF | Q3_K_S | 30.3 | |
| GGUF | Q3_K_M | 33.7 | lower quality |
| GGUF | Q3_K_L | 36.6 | |
| GGUF | IQ4_NL | 39.7 | fast, slightly worse than Q4_K_S |
| GGUF | Q4_K_S | 39.7 | fast, medium quality |
| GGUF | Q4_K_M | 41.8 | fast, medium quality |
| GGUF | Q5_K_S | 47.9 | |
| GGUF | Q5_K_M | 49.2 | |
| PART 1 PART 2 | Q6_K | 57.0 | very good quality |
| PART 1 PART 2 | Q8_0 | 73.6 | 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