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Model: Luni/StarDust-12b-v2 Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- chat
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- mistral
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- roleplay
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- creative-writing
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base_model:
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- nbeerbower/mistral-nemo-bophades-12B
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- anthracite-org/magnum-v2-12b
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- Sao10K/MN-12B-Lyra-v3
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- Gryphe/Pantheon-RP-1.6-12b-Nemo
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pipeline_tag: text-generation
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model-index:
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- name: StarDust-12b-v2
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 56.29
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 34.95
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 5.97
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.82
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 14.26
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 27.1
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v2
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name: Open LLM Leaderboard
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library_name: transformers
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---
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# StarDust-12b-v2
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## Quants
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- GGUF: [mradermacher/StarDust-12b-v2-GGUF](https://huggingface.co/mradermacher/StarDust-12b-v2-GGUF)
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- weighted/imatrix GGUF: [mradermacher/StarDust-12b-v2-i1-GGUF](https://huggingface.co/mradermacher/StarDust-12b-v2-i1-GGUF/tree/main)
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- exl2: [lucyknada/Luni_StarDust-12b-v2-exl2](https://huggingface.co/lucyknada/Luni_StarDust-12b-v2-exl2)
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## Description | Usecase
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- 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.
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- The v2 uses the non-kto magnum which tends to have less "claudeism" (making the story feel rather repetitive)
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- 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](https://huggingface.co/Luni/StarDust-12b-v1) which has the KTO version.
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- In early testing users have reported a much better experience in longer roleplays and a abillity to add a creative touch to the stable experience.
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Just like with v1:
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- This model is intended to be used as a Role-playing model.
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- Its direct conversational output is... I can't even say it's luck, it's just not made for it.
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- Extension to Conversational output: The Model is designed for roleplay, direct instructing or general purpose is NOT recommended.
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- It can be used with simple setup to be used as an "Agent" by forcing it into an "impersonation" of a character which works very well but sometimes narratives sneak in.
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## Initial Feedback
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- Initial feedback has proven the model to be a solid "go-to" choice for creative storywriting
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- The prose has been certified as "amazing" with many making it their default model.
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## Prompting
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### ChatML has proven to be the BEST choice.
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Both Mistral and ChatML should work though I had better results with ChatML:
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ChatML Example:
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```py
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"""<|im_start|>user
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Hi there!<|im_end|>
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<|im_start|>assistant
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Nice to meet you!<|im_end|>
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<|im_start|>user
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Can I ask a question?<|im_end|>
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<|im_start|>assistant
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"""
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```
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## Merge Details
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/MN-12B-Lyra-v3](https://huggingface.co/Sao10K/MN-12B-Lyra-v3) as a base.
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### Models Merged
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The following models were included in the merge:
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* [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B)
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* [anthracite-org/magnum-v2-12b](https://huggingface.co/anthracite-org/magnum-v2-12b)
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* [Gryphe/Pantheon-RP-1.6-12b-Nemo](https://huggingface.co/Gryphe/Pantheon-RP-1.6-12b-Nemo)
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* [Sao10K/MN-12B-Lyra-v3](https://huggingface.co/Sao10K/MN-12B-Lyra-v3)
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### Special Thanks
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Special thanks to the SillyTilly and myself for helping me find the energy to finish this.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Luni__StarDust-12b-v2)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |24.06|
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|IFEval (0-Shot) |56.29|
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|BBH (3-Shot) |34.95|
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|MATH Lvl 5 (4-Shot)| 5.97|
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|GPQA (0-shot) | 5.82|
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|MuSR (0-shot) |14.26|
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|MMLU-PRO (5-shot) |27.10|
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