README.md

---
license: other
language:
- en
base_model:
- Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2
---

[NitralAI's measurement.json](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2-5bpw-exl2/blob/main/measurement.json) was used for quantization

## **Sekhmet_Bet-L3.1-8B-v0.2**
[exllamav2](https://github.com/turboderp/exllamav2) quant for [Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2)

**Original model information:**

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/BjXS7pqiq7REnP2KnDzJG.jpeg)

# Sekhmet_Bet [v-0.2] - Designed to provide robust solutions to complex problems while offering support and insightful guidance.

# GGUF Quant's available thanks to: Reiterate3680 <3 [GGUF Here](https://huggingface.co/Reiterate3680/Sekhmet_Bet-L3.1-8B-v0.2-GGUF) 
# EXL2 Quant: [5bpw Exl2 Here](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2-5bpw-exl2)

# Recomended ST Presets: [Sekhmet Presets(Same as Hathor's)](https://huggingface.co/Nitral-AI/Hathor_Presets/tree/main)
---
# Training Note: Sekhmet_Bet [v0.2] is trained on: 1 epoch of Private - Hathor_0.85 Instructions, small subset of creative writing data, roleplaying chat pairs over Sekhmet_Aleph-L3.1-8B-v0.1 
# Additional Note's: This model was quickly assembled to provide users with a relatively uncensored alternative to L3.1 Instruct, featuring extended context capabilities. (As I will soon be on a short hiatus) The learning rate for this model was set rather low. Therefore, I do not expect it to match the performance levels demonstrated by Hathor versions 0.5, 0.85, or 1.0.