199 lines
5.7 KiB
Markdown
199 lines
5.7 KiB
Markdown
---
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- ru
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- zh
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- ja
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license: apache-2.0
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tags:
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- merge
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datasets:
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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- anthracite-org/stheno-filtered-v1.1
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- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
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- Gryphe/Sonnet3.5-Charcard-Roleplay
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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- anthracite-org/nopm_claude_writing_fixed
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- anthracite-org/kalo_opus_misc_240827
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pipeline_tag: text-generation
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model-index:
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- name: Violet_Twilight-v0.2
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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: 45.32
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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=Epiculous/Violet_Twilight-v0.2
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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: 23.94
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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=Epiculous/Violet_Twilight-v0.2
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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: 2.72
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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=Epiculous/Violet_Twilight-v0.2
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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: 2.13
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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=Epiculous/Violet_Twilight-v0.2
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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: 13.61
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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=Epiculous/Violet_Twilight-v0.2
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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: 23.45
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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=Epiculous/Violet_Twilight-v0.2
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name: Open LLM Leaderboard
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---
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Now for something a bit different, Violet_Twilight-v0.2! This model is a SLERP merge of Azure_Dusk-v0.2 and Crimson_Dawn-v0.2!
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# Quants!
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<strong>full</strong> / [exl2](https://huggingface.co/Epiculous/Violet_Twilight-v0.2-exl2) / [gguf](https://huggingface.co/Epiculous/Violet_Twilight-v0.2-GGUF)
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## Prompting
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The v0.2 models are trained on ChatML, the prompting structure goes a little something like this:
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```
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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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### Context and Instruct
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The v0.2 models are trained on ChatML, please use that Context and Instruct template.
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### Current Top Sampler Settings
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[Smooth Creativity](https://files.catbox.moe/0ihfir.json): Credit to Juelsman for researching this one!<br/>
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[Variant Chimera](https://files.catbox.moe/h7vd45.json): Credit to Numbra!<br/>
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[Spicy_Temp](https://files.catbox.moe/9npj0z.json) <br/>
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[Violet_Twilight-Nitral-Special](https://files.catbox.moe/ot54u3.json) <br/>
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## Merging
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The following config was used to merge Azure Dusk and Crimson Dawn
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```yaml
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slices:
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- sources:
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- model: Epiculous/Azure_Dusk-v0.2
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layer_range: [0, 40]
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- model: Epiculous/Crimson_Dawn-V0.2
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layer_range: [0, 40]
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merge_method: slerp
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base_model: Epiculous/Azure_Dusk-v0.2
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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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_Epiculous__Violet_Twilight-v0.2)
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| Metric |Value|
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|Avg. |18.53|
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|IFEval (0-Shot) |45.32|
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|BBH (3-Shot) |23.94|
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|MATH Lvl 5 (4-Shot)| 2.72|
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|GPQA (0-shot) | 2.13|
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|MuSR (0-shot) |13.61|
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|MMLU-PRO (5-shot) |23.45|
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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_Epiculous__Violet_Twilight-v0.2)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |18.53|
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|IFEval (0-Shot) |45.32|
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|BBH (3-Shot) |23.94|
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|MATH Lvl 5 (4-Shot)| 2.72|
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|GPQA (0-shot) | 2.13|
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|MuSR (0-shot) |13.61|
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|MMLU-PRO (5-shot) |23.45|
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