metadata

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 from Aryanne

Name	Quant method	Size
astrorocketboros-3b.fp16.gguf	fp16	5.59 GB
astrorocketboros-3b.q2_k.gguf	q2_k	1.20 GB
astrorocketboros-3b.q3_k_m.gguf	q3_k_m	1.39 GB
astrorocketboros-3b.q4_k_m.gguf	q4_k_m	1.71 GB
astrorocketboros-3b.q5_k_m.gguf	q5_k_m	1.99 GB
astrorocketboros-3b.q6_k.gguf	q6_k	2.30 GB
astrorocketboros-3b.q8_0.gguf	q8_0	2.97 GB

Original Model Card:

This model is a task_arithmetic merge of pansophic/rocket-3B, jondurbin/airoboros-3b-3p0 and Aryanne/Astrohermes-3B, as shown in the yaml(see Astrorocketboros.yml or below).

I used this model as base ayoubkirouane/StableLM-3B

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

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