base_model: nbeerbower/Wenyan-Qwen3-8B
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
- jondurbin/gutenberg-dpo-v0.1
- nbeerbower/gutenberg2-dpo
- nbeerbower/gutenberg-moderne-dpo
- sam-paech/gutenberg3-dpo-gemma3-12b
- nbeerbower/human-writing-dpo
- nbeerbower/synthetic-fiction-dpo
- Atsunori/HelpSteer2-DPO
- GeneralReasoning/GeneralThought-430K
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
About
static quants of https://huggingface.co/nbeerbower/Wenyan-Qwen3-8B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Wenyan-Qwen3-8B-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 | 3.4 | |
| GGUF | Q3_K_S | 3.9 | |
| GGUF | Q3_K_M | 4.2 | lower quality |
| GGUF | Q3_K_L | 4.5 | |
| GGUF | IQ4_XS | 4.7 | |
| GGUF | Q4_K_S | 4.9 | fast, recommended |
| GGUF | Q4_K_M | 5.1 | fast, recommended |
| GGUF | Q5_K_S | 5.8 | |
| GGUF | Q5_K_M | 6.0 | |
| GGUF | Q6_K | 6.8 | very good quality |
| GGUF | Q8_0 | 8.8 | fast, best quality |
| GGUF | f16 | 16.5 | 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.