exported_from: Enoch/llama-65b-hf
language:
- en
library_name: transformers
license: other
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/Enoch/llama-65b-hf
static quants are available at https://huggingface.co/mradermacher/llama-65b-hf-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 |
|---|---|---|---|
| GGUF | i1-IQ1_S | 14.3 | for the desperate |
| GGUF | i1-IQ1_M | 15.5 | for the desperate |
| GGUF | i1-IQ2_XXS | 17.6 | |
| GGUF | i1-IQ2_XS | 19.4 | |
| GGUF | i1-IQ2_S | 20.9 | |
| GGUF | i1-IQ2_M | 22.5 | |
| GGUF | i1-Q2_K | 24.2 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 24.8 | lower quality |
| GGUF | i1-IQ3_XS | 26.7 | |
| GGUF | i1-IQ3_S | 28.3 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 28.3 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 29.9 | |
| GGUF | i1-Q3_K_M | 31.7 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 34.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 34.9 | |
| GGUF | i1-Q4_0 | 37.0 | fast, low quality |
| GGUF | i1-Q4_K_S | 37.2 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 39.4 | fast, recommended |
| GGUF | i1-Q5_K_S | 45.0 | |
| GGUF | i1-Q5_K_M | 46.3 | |
| PART 1 PART 2 | i1-Q6_K | 53.7 | practically like static Q6_K |
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
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.