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---
license: llama3
tags:
- moe
language:
- en
---
<style>
.image-container {
position: relative;
display: inline-block;
}
.image-container img {
display: block;
border-radius: 10px;
box-shadow: 0 0 1px rgba(0, 0, 0, 0.3);
}
.image-container::before {
content: "";
position: absolute;
top: 0px;
left: 20px;
width: calc(100% - 40px);
height: calc(100%);
background-image: url("https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/OuMe79ZQPdCX01rTdfgXn.png");
background-size: cover;
filter: blur(10px);
z-index: -1;
}
</style>
<br>
<div class="image-container">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/OuMe79ZQPdCX01rTdfgXn.png" style="width: 96%; margin: auto;" >
</div>
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than Mixtral 8x7B and it's finetunes in RP/ERP tasks.
### Llama 3 SnowStorm v1.15A 4x8B
```
base_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
gate_mode: random
dtype: bfloat16
experts_per_token: 2
experts:
- source_model: Nitral-AI_Poppy_Porpoise-0.85-L3-8B
- source_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
- source_model: openlynn_Llama-3-Soliloquy-8B-v2
- source_model: Sao10K_L3-8B-Stheno-v3.1
```
## Models used
- [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B)
- [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
- [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
- [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1)
## Difference(from SnowStorm v1.0)
- Update from [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B) to [Nitral-AI/Poppy_Porpoise-0.85-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B)
## Vision
[llama3_mmproj](https://huggingface.co/ChaoticNeutrals/LLaVA-Llama-3-8B-mmproj-Updated)
## Prompt format: Llama 3 |