base_model: Tower-Babel/Babel-83B-Chat
language:
- en
- zh
- hi
- es
- fr
- ar
- bn
- ru
- pt
- id
- ur
- de
- ja
- sw
- ta
- tr
- ko
- vi
- jv
- it
- ha
- th
- fa
- tl
- my
library_name: transformers
license: other
license_link: https://huggingface.co./SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE
license_name: seallm
quantized_by: mradermacher
tags:
- multilingual
- babel
About
weighted/imatrix quants of https://huggingface.co./Tower-Babel/Babel-83B-Chat
static quants are available at https://huggingface.co./mradermacher/Babel-83B-Chat-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_M | 27.2 | mostly desperate |
GGUF | i1-IQ2_XXS | 29.2 | |
GGUF | i1-IQ2_M | 33.6 | |
GGUF | i1-Q2_K_S | 33.8 | very low quality |
GGUF | i1-Q2_K | 34.1 | IQ3_XXS probably better |
GGUF | i1-IQ3_XXS | 36.4 | lower quality |
GGUF | i1-Q3_K_S | 39.3 | IQ3_XS probably better |
GGUF | i1-IQ3_M | 40.6 | |
GGUF | i1-Q3_K_M | 43.1 | IQ3_S probably better |
GGUF | i1-IQ4_XS | 45.5 | |
PART 1 PART 2 | i1-Q4_K_S | 50.2 | optimal size/speed/quality |
PART 1 PART 2 | i1-Q4_K_M | 54.3 | fast, recommended |
PART 1 PART 2 | i1-Q6_K | 73.8 | 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
FAQ / Model Request
See https://huggingface.co./mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.