This model is a merge of [euclaise/Echo-3B](https://huggingface.co/euclaise/Echo-3B), [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b) and [Aryanne/Astridboros-3B](https://huggingface.co/Aryanne/Astridboros-3B) using task_arithmetic(see astrea-rp-v1-3b.yml or below).


```yaml
merge_method: task_arithmetic
base_model: euclaise/Ferret-3B
models:
  - model: euclaise/Ferret-3B
  - model: stabilityai/stablelm-zephyr-3b
    parameters:
      weight: 0.33
  - model: euclaise/Echo-3B
    parameters:
      weight: 0.66
  - model: Aryanne/Astridboros-3B
    parameters:
      weight: 0.16
dtype: float16
```
I recommend the use of Vicuna prompt format, but it's your choice to see what works for you.

GGUF quants: [afrideva/Astrea-RP-v1-3B-GGUF](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF) 

I think zephyr license applies to this merge, for non commercial use.

{"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["gpt", "llm", "large language model"], "inference": true}
transformers safetensors stablelm_epoch text-generation gpt llm large language model conversational custom_code en license:other autotrain_compatible region:us