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---
license: other
language:
- en
---
[EXL2](https://github.com/turboderp/exllamav2/tree/master#exllamav2) Quantization of [Undi95's's MM-ReMM-L2-20B](https://huggingface.co/Undi95/MM-ReMM-L2-20B).
## Model details
Quantized at 3.18bpw with hb 6, This one can actually go full 4K context on 16GB VRAM, will redo the other 20b models later.
Perplexity:
Base = 6.9504
3.18 h6 = 7.0138
Dataset = [wikitext](https://huggingface.co/datasets/wikitext/resolve/refs%2Fconvert%2Fparquet/wikitext-2-v1/test/0000.parquet)
## Prompt Format
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
``` |