---
license: apache-2.0
tags:
- chat
base_model:
- Gryphe/Pantheon-RP-1.6-12b-Nemo
- Sao10K/MN-12B-Lyra-v3
- anthracite-org/magnum-v2.5-12b-kto
- nbeerbower/mistral-nemo-bophades-12B
pipeline_tag: text-generation
model-index:
- name: StarDust-12b-v1
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 54.59
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 34.45
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 5.97
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 3.47
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 13.76
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 26.8
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Luni/StarDust-12b-v1
      name: Open LLM Leaderboard
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6303fa71fc783bfc7443e7ae/hOpgDxJS2sDO7HzuC9e18.png)


# StarDust-12b-v1

## Quants

- GGUF: [mradermacher/StarDust-12b-v1-GGUF](https://huggingface.co./mradermacher/StarDust-12b-v1-GGUF)
- weighted/imatrix GGUF [mradermacher/StarDust-12b-v1-i1-GGUF](https://huggingface.co./mradermacher/StarDust-12b-v1-i1-GGUF)
- exl2: [lucyknada/Luni_StarDust-12b-v1-exl2](https://huggingface.co./lucyknada/Luni_StarDust-12b-v1-exl2)

## 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.
I've personally been trying to get a more spice while also compensating for the Magnum-v2.5 having the issue on my end that it simply won't stop yapping.

- 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 shows that the model has a tendency to promote flirting. If this becomes too much try to steer the model with a system prompt to focus on SFW and on-flirty interactions.

## Prompting

### Edit: ChatML has proven to be the BEST choice.

Both Mistral and ChatML should work though I had better results with ChatML:
ChatML Example:
```py
"""<|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](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.

### Models Merged

The following models were included in the merge:
* [Gryphe/Pantheon-RP-1.6-12b-Nemo](https://huggingface.co./Gryphe/Pantheon-RP-1.6-12b-Nemo)
* [anthracite-org/magnum-v2.5-12b-kto](https://huggingface.co./anthracite-org/magnum-v2.5-12b-kto)
* [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co./nbeerbower/mistral-nemo-bophades-12B)
* [Sao10K/MN-12B-Lyra-v3](https://huggingface.co./Sao10K/MN-12B-Lyra-v3)

### Special Thanks

Special thanks to the SillyTilly and myself for helping me find the energy to finish this.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_Luni__StarDust-12b-v1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |23.17|
|IFEval (0-Shot)    |54.59|
|BBH (3-Shot)       |34.45|
|MATH Lvl 5 (4-Shot)| 5.97|
|GPQA (0-shot)      | 3.47|
|MuSR (0-shot)      |13.76|
|MMLU-PRO (5-shot)  |26.80|