metadata
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
About
weighted/imatrix wants of https://huggingface.co/sophosympatheia/Aurora-Nights-103B-v1.0
the weights were calculated using 164k semi-random english-only tokens.
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 | i1-IQ1_S | 22.0 | |
| GGUF | i1-IQ2_XXS | 27.6 | |
| GGUF | i1-IQ2_XS | 30.7 | |
| GGUF | i1-Q2_K | 38.2 | |
| GGUF | i1-IQ3_XXS | 40.5 | fast, lower quality |
| GGUF | i1-Q3_K_XS | 42.3 | IQ3-XXS probably better |
| GGUF | i1-Q3_K_S | 44.8 | IQ3-XXS probably better |
| PART 1 PART 2 | i1-Q3_K_M | 49.9 | lower quality |
| PART 1 PART 2 | i1-Q3_K_L | 54.4 | |
| PART 1 PART 2 | i1-Q4_K_S | 58.9 | fast, medium quality |
| PART 1 PART 2 | i1-Q4_K_M | 62.2 | fast, medium quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
