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Stardust-V2-EXL2-4bpw

Text Generation
Safetensors
English
mistral
chat
roleplay
creative-writing
conversational
4-bit precision
exl2
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Stardust-V2-EXL2-4bpw / README.md
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metadata
license: apache-2.0
pipeline_tag: text-generation
tags:
  - chat
  - mistral
  - roleplay
  - creative-writing
base_model:
  - nbeerbower/mistral-nemo-bophades-12B
  - anthracite-org/magnum-v2-12b
  - Sao10K/MN-12B-Lyra-v3
  - Gryphe/Pantheon-RP-1.6-12b-Nemo
language:
  - en

Quanting the Stardust V2 model. According to the model card this is a slightly different tune which you can see in the Usecase section from the original model card below. Highly recommend giving it a read-over and determining if you still want to try it before downloading. Either way, I intend to give it a shot.

This is the EXL2 4bpw version of this model. Find the original model here.
Find the 8bpw version here.
Find the 6bpw version here.

image/png

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StarDust-12b-v2

Quants

Description | Usecase

  • The result of this merge is in my opinion a more vibrant and less generic sonnet inspired prose, it's able to be gentle and harsh where asked.
  • The v2 uses the non-kto magnum which tends to have less "claudeism" (making the story feel rather repetitive)
  • Note on Non-Kto: There is a very big gap between people preferring and disliking the KTO. To make things easier, you can still use Luni/StarDust-12b-v1 which has the KTO version.
  • In early testing users have reported a much better experience in longer roleplays and a abillity to add a creative touch to the stable experiencve.

Just like with v1:

  • This model is intended to be used as a Role-playing model.
  • Its direct conversational output is... I can't even say it's luck, it's just not made for it.
  • Extension to Conversational output: The Model is designed for roleplay, direct instructing or general purpose is NOT recommended.

Initial Feedback

  • Initial feedback has proven the model to be a solid "go-to" choice for creative storywriting
  • The prose has been certified as "amazing" with many making it their default model.

Prompting

ChatML has proven to be the BEST choice.

Both Mistral and ChatML should work though I had better results with ChatML: ChatML Example:

"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Sao10K/MN-12B-Lyra-v3 as a base.

Models Merged

The following models were included in the merge:

Special Thanks

Special thanks to the SillyTilly and myself for helping me find the energy to finish this.