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RPBizkit-v2-12B/README.md
ModelHub XC a823293d6e 初始化项目,由ModelHub XC社区提供模型
Model: RicardoEstep/RPBizkit-v2-12B
Source: Original Platform
2026-06-15 04:54:17 +08:00

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---
base_model:
- SicariusSicariiStuff/Impish_Bloodmoon_12B
- yamatazen/EtherealAurora-12B
- redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3
- Retreatcost/KansenSakura-Eclipse-RP-12b
- yamatazen/NeonMaid-12B-v2
- DreadPoor/Krix-12B-Model_Stock
- yamatazen/FusionEngine-12B-Lorablated
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
new_version: RicardoEstep/RPBizkit-v4-12B
---
# RicardoEstep/RPBizkit-v2-12B
"Experimental [Karcher-Mean](https://en.wikipedia.org/wiki/Karcher_mean) Mix" using "[Mergekit](https://github.com/cg123/mergekit)".
Don't ask me how i could merge it with only "16GBs of RAM", all models are mixed equaly and all their data have same importance.
I'm not responsible of the use of this.
> I did it all for the nookie, so you can take that cookie, and stick it up your...
![image/png](https://huggingface.co/RicardoEstep/RPBizkit-v2-12B/resolve/main/2026-01-23%20000025.png?download=true)
### Models used:
* [DreadPoor/Krix-12B-Model_Stock](https://huggingface.co/DreadPoor/Krix-12B-Model_Stock)
* [SicariusSicariiStuff/Impish_Bloodmoon_12B](https://huggingface.co/SicariusSicariiStuff/Impish_Bloodmoon_12B)
* [yamatazen/EtherealAurora-12B](https://huggingface.co/yamatazen/EtherealAurora-12B)
* [redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3](https://huggingface.co/redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3)
* [Retreatcost/KansenSakura-Eclipse-RP-12b](https://huggingface.co/Retreatcost/KansenSakura-Eclipse-RP-12b)
* [yamatazen/NeonMaid-12B-v2](https://huggingface.co/yamatazen/NeonMaid-12B-v2)
* [yamatazen/FusionEngine-12B-Lorablated](https://huggingface.co/yamatazen/FusionEngine-12B-Lorablated)
I couldn't use "yamatazen/EsotericSage-12B" cause it give me problems with "Weights", & "ReadyArt/Safeword-Casual-V1-12B" cause it uses "Gemma-3".
**The recommended max context size is "8K (8192)"**.
Some of the models in the mix, used a "fake rope_theta hack" to support "1M" of context size, and this model coppied that configuration.
This are not a real numbers, and **would NOT** give you a "meaningful longcontext behavior".
* Quantized Model, Here [RicardoEstep/RPBizkit-v2-12B-GGUF](https://huggingface.co/RicardoEstep/RPBizkit-v2-12B-GGUF).
# YAML Configuration Used:
```yaml
models:
- model: DreadPoor/Krix-12B-Model_Stock
- model: redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3
- model: SicariusSicariiStuff/Impish_Bloodmoon_12B
- model: Retreatcost/KansenSakura-Eclipse-RP-12b
- model: yamatazen/NeonMaid-12B-v2
- model: yamatazen/EtherealAurora-12B
- model: yamatazen/FusionEngine-12B-Lorablated
merge_method: karcher
base_model: DreadPoor/Krix-12B-Model_Stock
dtype: bfloat16
parameters:
normalize: true
karcher_steps: 64 # Extremely Clean, Stable, Highquality Merge.
tolerance: 1e-7 # Maximum smoothness and Minimal artifacts.
tokenizer:
source: union
```