transformers safetensors mixtral text-generation license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
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license: cc-by-nc-4.0
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# FlatDolphinMaid-8x7B 4bpw
Exllama quant of [Undi95/FlatDolphinMaid-8x7B](https://huggingface.co/Undi95/FlatDolphinMaid-8x7B)

You probably want the [3.5bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-3.5bpw-exl2) version. It just fits in 24gb of vram at half context (16384).

If you really want the larger context [3bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-3bpw-exl2) should do it but you are probably better of with the gguf version with higher quants.

I did make a [4bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-4bpw-exl2), it might work in a headless or multigpu setup.



Other BPW's [3.0bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-3bpw-exl2), [3.5bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-3.5bpw-exl2), [4.0bpw](https://huggingface.co/Kooten/FlatDolphinMaid-8x7B-4bpw-exl2)

Make sure you **enable 8bit cache**.


### Promt format:

```
### Instruction:
{system prompt}

### Input:
{input}

### Response:
{reply}
```

### Contact
Kooten on discord.
