base_model: ai21labs/AI21-Jamba-Large-1.5
language:
- en
- fr
- de
- nl
- es
- pt
- it
- ar
- he
library_name: transformers
license: other
license_link: https://www.ai21.com/licenses/jamba-open-model-license
license_name: jamba-open-model-license
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mamba
- jamba
- moe
About
static quants of https://huggingface.co/ai21labs/AI21-Jamba-Large-1.5
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/AI21-Jamba-Large-1.5-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 |
|---|---|---|---|
| PART 1 PART 2 PART 3 | Q2_K | 143.8 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_S | 171.7 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_M | 189.0 | lower quality |
| P1 P2 P3 P4 P5 | Q3_K_L | 203.6 | |
| P1 P2 P3 P4 P5 | IQ4_XS | 214.3 | |
| P1 P2 P3 P4 P5 | Q4_K_S | 226.3 | fast, recommended |
| P1 P2 P3 P4 P5 | Q4_K_M | 240.4 | fast, recommended |
| P1 P2 P3 P4 P5 P6 | Q5_K_S | 274.3 | |
| P1 P2 P3 P4 P5 P6 | Q5_K_M | 282.5 | |
| P1 P2 P3 P4 P5 P6 P7 | Q6_K | 327.1 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q8_0 | 423.7 | 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
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.