File size: 1,984 Bytes
3650027 9261568 3650027 1b3dfb9 3650027 94855ef abdfc21 2a7b65a 3650027 3f0a176 3650027 3f0a176 3650027 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
license: other
language:
- en
---
[EXL2](https://github.com/turboderp/exllamav2/tree/master#exllamav2) Quantization 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 |
| [3bit](https://huggingface.co/R136a1/MythoMax-L2-13B-exl2/tree/3bit) | 3 | 6.3666 | Low bits quant while still good |
| [4bit](https://huggingface.co/R136a1/MythoMax-L2-13B-exl2/tree/4bit) | 4 | 6.1601 | Slightly better than 4bit GPTQ, ez 8K context 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, I think I did something wrong?)
## Prompt Format
Alpaca format:
```
### Instruction:
### Response:
```
---
license: other
--- |