base_model: lenML/aya-expanse-8b-abliterated language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
- el
- fa
- pl
- id
- cs
- he
- hi
- nl
- ro
- ru
- tr
- uk
- vi library_name: transformers license: cc-by-nc-4.0 quantized_by: mradermacher tags:
- gguf
- CohereForAI
About
weighted/imatrix quants of https://huggingface.co/lenML/aya-expanse-8b-abliterated
static quants are available at https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-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 | 2.3 | for the desperate |
| GGUF | i1-IQ1_M | 2.5 | mostly desperate |
| GGUF | i1-IQ2_XXS | 2.7 | |
| GGUF | i1-IQ2_XS | 2.9 | |
| GGUF | i1-IQ2_S | 3.0 | |
| GGUF | i1-IQ2_M | 3.2 | |
| GGUF | i1-IQ3_XXS | 3.5 | lower quality |
| GGUF | i1-Q2_K | 3.5 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XS | 3.8 | |
| GGUF | i1-Q3_K_S | 4.0 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 4.0 | beats Q3_K* |
| GGUF | i1-IQ3_M | 4.1 | |
| GGUF | i1-Q3_K_M | 4.3 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 4.6 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 4.7 | |
| GGUF | i1-Q4_0_4_4 | 4.9 | fast on arm, low quality |
| GGUF | i1-Q4_0_4_8 | 4.9 | fast on arm+i8mm, low quality |
| GGUF | i1-Q4_0_8_8 | 4.9 | fast on arm+sve, low quality |
| GGUF | i1-Q4_0 | 4.9 | fast, low quality |
| GGUF | i1-Q4_K_S | 4.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 5.2 | fast, recommended |
| GGUF | i1-Q5_K_S | 5.8 | |
| GGUF | i1-Q5_K_M | 5.9 | |
| GGUF | i1-Q6_K | 6.7 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
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.