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RichardErkhov/
Aryanne_-_Astrea-RP-v1-3B-gguf

Name: Aryanne_-_Astrea-RP-v1-3B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Astrea-RP-v1-3B - GGUF

Model creator: https://huggingface.co/Aryanne/
Original model: https://huggingface.co/Aryanne/Astrea-RP-v1-3B/

Name	Quant method	Size
Astrea-RP-v1-3B.Q2_K.gguf	Q2_K	1.01GB
Astrea-RP-v1-3B.Q3_K_S.gguf	Q3_K_S	1.17GB
Astrea-RP-v1-3B.Q3_K.gguf	Q3_K	1.3GB
Astrea-RP-v1-3B.Q3_K_M.gguf	Q3_K_M	1.3GB
Astrea-RP-v1-3B.Q3_K_L.gguf	Q3_K_L	1.4GB
Astrea-RP-v1-3B.IQ4_XS.gguf	IQ4_XS	1.43GB
Astrea-RP-v1-3B.Q4_0.gguf	Q4_0	1.5GB
Astrea-RP-v1-3B.IQ4_NL.gguf	IQ4_NL	1.51GB
Astrea-RP-v1-3B.Q4_K_S.gguf	Q4_K_S	1.51GB
Astrea-RP-v1-3B.Q4_K.gguf	Q4_K	1.59GB
Astrea-RP-v1-3B.Q4_K_M.gguf	Q4_K_M	1.59GB
Astrea-RP-v1-3B.Q4_1.gguf	Q4_1	1.65GB
Astrea-RP-v1-3B.Q5_0.gguf	Q5_0	1.81GB
Astrea-RP-v1-3B.Q5_K_S.gguf	Q5_K_S	1.81GB
Astrea-RP-v1-3B.Q5_K.gguf	Q5_K	1.86GB
Astrea-RP-v1-3B.Q5_K_M.gguf	Q5_K_M	1.86GB
Astrea-RP-v1-3B.Q5_1.gguf	Q5_1	1.96GB
Astrea-RP-v1-3B.Q6_K.gguf	Q6_K	2.14GB
Astrea-RP-v1-3B.Q8_0.gguf	Q8_0	2.77GB

Original model description:

language:

en library_name: transformers tags:
gpt
llm
large language model inference: true license: other

This model is a merge of euclaise/Echo-3B, stabilityai/stablelm-zephyr-3b and 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

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

RichardErkhov/Aryanne_-_Astrea-RP-v1-3B-gguf

Original model description:

RichardErkhov/
Aryanne_-_Astrea-RP-v1-3B-gguf