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license: other
language:
- en
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[ExLlamaV2](https://github.com/turboderp/exllamav2/tree/master#exllamav2) Models of [Gryphe's MythoMax L2 13B](https://huggingface.co/Gryphe/MythoMax-L2-13b).

Other quantized models are available from TheBloke: [GGML](https://huggingface.co/TheBloke/MythoMax-L2-13B-GGML) - [GPTQ](https://huggingface.co/TheBloke/MythoMax-L2-13B-GPTQ) - [GGUF](https://huggingface.co/TheBloke/MythoMax-L2-13B-GGUF) - [AWQ](https://huggingface.co/TheBloke/MythoMax-L2-13B-AWQ)

## Model details

| **Branch**                                                           | **Bits** | **Perplexity** | **Desc **                             |
|----------------------------------------------------------------------|----------|----------------|---------------------------------------|
| [main](https://huggingface.co/R136a1/MythoMax-L2-13B-exl2/tree/main) | 5        | 6.1018         | Up to 6144 context size on T4 GPU     |
| [6bit](https://huggingface.co/R136a1/MythoMax-L2-13B-exl2/tree/6bit) | 6        | 6.1182         | 4096 context size (tokens) on T4 GPU  |
| -                                                                    | 7        | 6.1056         | 2048 max context size for T4 GPU      |
| -                                                                    | 8        | 6.1027         | Just, why?                            |

I'll upload the 7 and 8 bits quant if someone request it. (Idk y the 5 bits quant preplexity is lower than higher bits quant, need some test)

## Prompt Format

Alpaca format:
```
### Instruction:


### Response:
```
 
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license: other
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