base_model: nbeerbower/DoppelKartoffel-Mistral-Nemo-23B
datasets:
- nbeerbower/GreatFirewall-DPO
- nbeerbower/Schule-DPO
- nbeerbower/Purpura-DPO
- nbeerbower/Arkhaios-DPO
- jondurbin/truthy-dpo-v0.1
- antiven0m/physical-reasoning-dpo
- flammenai/Date-DPO-NoAsterisks
- flammenai/Prude-Phi3-DPO
- Atsunori/HelpSteer2-DPO
- jondurbin/gutenberg-dpo-v0.1
- nbeerbower/gutenberg2-dpo
- nbeerbower/gutenberg-moderne-dpo
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/nbeerbower/DoppelKartoffel-Mistral-Nemo-23B
static quants are available at https://huggingface.co/mradermacher/DoppelKartoffel-Mistral-Nemo-23B-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 | 5.4 | for the desperate |
| GGUF | i1-IQ1_M | 5.9 | mostly desperate |
| GGUF | i1-IQ2_XXS | 6.6 | |
| GGUF | i1-IQ2_XS | 7.2 | |
| GGUF | i1-IQ2_S | 7.6 | |
| GGUF | i1-IQ2_M | 8.2 | |
| GGUF | i1-Q2_K_S | 8.4 | very low quality |
| GGUF | i1-Q2_K | 9.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 9.3 | lower quality |
| GGUF | i1-IQ3_XS | 9.9 | |
| GGUF | i1-IQ3_S | 10.4 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 10.4 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 10.8 | |
| GGUF | i1-Q3_K_M | 11.5 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 12.4 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 12.7 | |
| GGUF | i1-Q4_0 | 13.4 | fast, low quality |
| GGUF | i1-Q4_K_S | 13.5 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 14.1 | fast, recommended |
| GGUF | i1-Q4_1 | 14.7 | |
| GGUF | i1-Q5_K_S | 16.1 | |
| GGUF | i1-Q5_K_M | 16.5 | |
| GGUF | i1-Q6_K | 19.1 | 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.