---
base_model: Aryanne/Astrorocketboros-3B
inference: false
language:
- en
library_name: transformers
license: cc-by-sa-4.0
model_creator: Aryanne
model_name: Astrorocketboros-3B
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gpt
- llm
- stablelm
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# Aryanne/Astrorocketboros-3B-GGUF

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


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



## Original Model Card:
This model is a task_arithmetic merge of [pansophic/rocket-3B](https://huggingface.co/pansophic/rocket-3B), [jondurbin/airoboros-3b-3p0](https://huggingface.co/jondurbin/airoboros-3b-3p0) and [Aryanne/Astrohermes-3B](https://huggingface.co/Aryanne/Astrohermes-3B), as shown in the yaml(see Astrorocketboros.yml or below).

I used this model as base [ayoubkirouane/StableLM-3B](https://huggingface.co/ayoubkirouane/StableLM-3B)

I'm not sure if all the .json files are all right, but it seems to work at the moment. 

```yaml
merge_method: task_arithmetic
base_model: ayoubkirouane/StableLM-3B
models:
  - model: ayoubkirouane/StableLM-3B
  - model: pansophic/rocket-3B
    parameters:
      weight: 1.0
  - model: Aryanne/Astrohermes-3B
    parameters:
      weight: 0.22
  - model: jondurbin/airoboros-3b-3p0
    parameters:
      weight: 0.1
dtype: float16
```
I recommend the use of chatml prompt format, but alpaca seems to work too but it's necessary to write something before the instruction:
```
You are an Assistant
### Instruction:
write a poem.
### Response:
Amidst the tranquil hues of twilight's hue,
As shadows stretch and dance with whispered dew,
The trees weave tales of ages past untold,
```
GGUF Quants: [notyet]()