# Daddy Dave's stamp of approval 👍

4-bit GPTQ quants of the writer version of [Sao10K](https://huggingface.co/Sao10K)'s fantastic [Stheno model (Stheno model collection link)](https://huggingface.co/collections/Sao10K/stheno-6536a20823c9d18c09288fb1)

The main branch contains 4-bit groupsize of 128 and no act_order.

The other branches contain groupsizes of 128, 64, and 32 all with act_order.

## **⬇︎** Original card **⬇︎**

My GGUF Quants: https://huggingface.co/Sao10K/Stheno-1.10-L2-13B-GGUF

*** 

Oh, you thought there'd be a 2.0? Nope. Not yet.

A recreation of Stheno with Updated versions of the same models and Merging Values. Feels more coherent, and is uncensored (zero context) at least according to my tests. 

Is somewhat smarter, I think? Atleast it passes 4/5 times in my own test suites.

Feel free to try it out, I'd appreciate Feedback.

Most formats could work, but my tests have all been done in Alpaca format and it works well.
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### Instruction:
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support me [here](https://ko-fi.com/sao10k) :)

Once Again, thanks to [Chargoddard](https://huggingface.co/chargoddard) for his amazing and simple [mergekit](https://github.com/cg123/mergekit) script. Thanks to the original model creators too!
{"language": ["en"], "license": "llama2"}
transformers safetensors llama text-generation en license:llama2 autotrain_compatible endpoints_compatible text-generation-inference 4-bit region:us