
# Venus 103b - version 1.0

![image/png](https://cdn-uploads.huggingface.co/production/uploads/655febd724e0d359c1f21096/BSKlxWQSbh-liU8kGz4fF.png)

## Overview

A smaller version of Venus-120b that uses the same base models.

## Model Details

- A result of interleaving layers of [Sao10K/Euryale-1.3-L2-70B](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B), [NousResearch/Nous-Hermes-Llama2-70b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-70b), and [migtissera/SynthIA-70B-v1.5](https://huggingface.co/migtissera/SynthIA-70B-v1.5) using [mergekit](https://github.com/cg123/mergekit).
- The resulting model has 120 layers and approximately 103 billion parameters.
- See mergekit-config.yml for details on the merge method used.
- See the `exl2-*` branches for exllama2 quantizations. The 5.65 bpw quant should fit in 80GB VRAM, and the 3.35 bpw quant should fit in 48GB VRAM.

**Warning: This model will produce NSFW content!**

## Results

Seems to be a bit more coherent than Venus-120b, likely due to using SynthIA 1.2b instead of SynthIA 1.5.
{"language": ["en"], "license": "llama2", "tags": ["not-for-all-audiences"]}
transformers safetensors llama text-generation not-for-all-audiences en license:llama2 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us