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---
base_model:
- TheDrummer/Llama-3SOME-8B-v2
- cgato/L3-TheSpice-8b-v0.8.3
- Sao10K/L3-8B-Stheno-v3.2
- SicariusSicariiStuff/Wingless_Imp_8B
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
- NeverSleep/Lumimaid-v0.2-8B
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# What is this?
A Llama3 model with Deepseek R1 Distill merge. Maybe it's not suit for RP?
Overall, this merge model is the best and smartest RP, ERP model. But the IFEval score is lower than other model, so I think it's wont follow well your instructions? I didn't test yet, will have a test later
<details>
<summary>## Merge Detail</summary>
<p>
### Models Merged
The following models were included in the merge:
* [TheDrummer/Llama-3SOME-8B-v2](https://huggingface.co/TheDrummer/Llama-3SOME-8B-v2)
* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [SicariusSicariiStuff/Wingless_Imp_8B](https://huggingface.co/SicariusSicariiStuff/Wingless_Imp_8B)
* [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: NeverSleep/Lumimaid-v0.2-8B
merge_method: model_stock
dtype: bfloat16
models:
- model: cgato/L3-TheSpice-8b-v0.8.3
- model: Sao10K/L3-8B-Stheno-v3.2
- model: TheDrummer/Llama-3SOME-8B-v2
- model: SicariusSicariiStuff/Wingless_Imp_8B
- model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
```
</p>
</details> |