RicardoEstep/RPBizkit-v11-12B-Base
"Experimental Mistral Nemo Mix" using... "Model Stock merge with Mergekit".
This is a mix of some known "RP Uncensored" models. 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...

After noticing a kind of "Assistant Tone" in V10, i remade the mix using "a cleaner" list... It works pretty nice and stable, and it's the "Base" for something even more experimental.
Models Merged:
- TheDrummer/Rocinante-X-12B-v1 as base.
- ReadyArt/Dark-Nexus-12B-v2.0
- anthracite-org/magnum-v2-12b
- NeverSleep/Lumimaid-v0.2-12B
- MuXodious/Wayfarer-2-12B-absolute-heresy
- SicariusSicariiStuff/Impish_Bloodmoon_12B
- allura-org/MN-12b-RP-Ink
- DreadPoor/Krix-12B-Model_Stock
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- ChaoticNeutrals/Nera_Noctis-12B
Configuration Used:
merge_method: model_stock
base_model: TheDrummer/Rocinante-X-12B-v1
tokenizer_source: base
parameters:
normalize: true
int8_mask: false
filter_wise: true
models:
- model: anthracite-org/magnum-v2-12b
- model: MuXodious/Wayfarer-2-12B-absolute-heresy
- model: NeverSleep/Lumimaid-v0.2-12B
- model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- model: allura-org/MN-12b-RP-Ink
- model: ReadyArt/Dark-Nexus-12B-v2.0
- model: SicariusSicariiStuff/Impish_Bloodmoon_12B
- model: ChaoticNeutrals/Nera_Noctis-12B
- model: DreadPoor/Krix-12B-Model_Stock
dtype: bfloat16
Final Notes;
The Tokenizer & Embedding Sizes (131072) are clean + It's "supposed to" support now a full "128K Context Size" (patched at 1M).
The chat template is added with "full mistral" support.
Rapid Benchmarking - "64-Shot + 5318008 Seed" Evaluation.
These are the results of running "lm-evaluation-harness", using the "Q8_0 Model", with an "8K Context Window". Executed on a free "Google Collab - CUDA-accelerated backend (T4)" instance.
| Task | Metric | n-shot | Score |
|---|---|---|---|
| Hellaswag | acc | 0 | 56.25% |
| Hellaswag | acc_norm | 0 | 78.12% |
| ifeval v4 | inst_level_loose_acc | 0 | 22.22% |
| ifeval v4 | inst_level_strict_acc | 0 | 19.19% |
| ifeval v4 | prompt_level_loose_acc | 0 | 15.62% |
| ifeval v4 | prompt_level_strict_acc | 0 | 14.06% |
- Quantized Model, Here RicardoEstep/RPBizkit-v11-12B-Base-GGUF.