base_model: FreedomIntelligence/Apollo2-3.8B
datasets:
- FreedomIntelligence/ApolloMoEDataset
language:
- ar
- en
- zh
- ko
- ja
- mn
- th
- vi
- lo
- mg
- de
- pt
- es
- fr
- ru
- it
- hr
- gl
- cs
- co
- la
- uk
- bs
- bg
- eo
- sq
- da
- sa
- gn
- sr
- sk
- gd
- lb
- hi
- ku
- mt
- he
- ln
- bm
- sw
- ig
- rw
- ha
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- biology
- medical
About
static quants of https://huggingface.co/FreedomIntelligence/Apollo2-3.8B
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Apollo2-3.8B-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 |
---|---|---|---|
GGUF | Q2_K | 1.5 | |
GGUF | Q3_K_S | 1.8 | |
GGUF | Q3_K_M | 2.1 | lower quality |
GGUF | IQ4_XS | 2.2 | |
GGUF | Q3_K_L | 2.2 | |
GGUF | Q4_K_S | 2.3 | fast, recommended |
GGUF | Q4_K_M | 2.5 | fast, recommended |
GGUF | Q5_K_S | 2.7 | |
GGUF | Q5_K_M | 2.9 | |
GGUF | Q6_K | 3.2 | very good quality |
GGUF | Q8_0 | 4.2 | fast, best quality |
GGUF | f16 | 7.7 | 16 bpw, overkill |
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.