---
base_model: Aryanne/Astrea-RP-v1-3B
inference: false
language:
- en
library_name: transformers
license: other
model_creator: Aryanne
model_name: Astrea-RP-v1-3B
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gpt
- llm
- large language model
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# Aryanne/Astrea-RP-v1-3B-GGUF

Quantized GGUF model files for [Astrea-RP-v1-3B](https://huggingface.co/Aryanne/Astrea-RP-v1-3B) from [Aryanne](https://huggingface.co/Aryanne)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [astrea-rp-v1-3b.fp16.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.fp16.gguf) | fp16 | 5.59 GB  |
| [astrea-rp-v1-3b.q2_k.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q2_k.gguf) | q2_k | 1.20 GB  |
| [astrea-rp-v1-3b.q3_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q3_k_m.gguf) | q3_k_m | 1.39 GB  |
| [astrea-rp-v1-3b.q4_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q4_k_m.gguf) | q4_k_m | 1.71 GB  |
| [astrea-rp-v1-3b.q5_k_m.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q5_k_m.gguf) | q5_k_m | 1.99 GB  |
| [astrea-rp-v1-3b.q6_k.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q6_k.gguf) | q6_k | 2.30 GB  |
| [astrea-rp-v1-3b.q8_0.gguf](https://huggingface.co/afrideva/Astrea-RP-v1-3B-GGUF/resolve/main/astrea-rp-v1-3b.q8_0.gguf) | q8_0 | 2.97 GB  |



## Original Model Card:
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.

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