Violet_Twilight-v0.2/README.md

language, license, tags, datasets, pipeline_tag, model-index

language	license	tags	datasets	pipeline_tag	model-index
en fr de es it pt ru zh ja	apache-2.0	merge	Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned anthracite-org/stheno-filtered-v1.1 PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT Gryphe/Sonnet3.5-Charcard-Roleplay Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned anthracite-org/kalo-opus-instruct-22k-no-refusal anthracite-org/nopm_claude_writing_fixed anthracite-org/kalo_opus_misc_240827	text-generation	name results Violet_Twilight-v0.2 task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 45.32 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 23.94 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 2.72 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 2.13 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 13.61 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 23.45 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Epiculous/Violet_Twilight-v0.2 Open LLM Leaderboard

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!

Quants!

full / exl2 / gguf

Prompting

The v0.2 models are trained on ChatML, the prompting structure goes a little something like this:

<|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

Context and Instruct

The v0.2 models are trained on ChatML, please use that Context and Instruct template.

Current Top Sampler Settings

Smooth Creativity: Credit to Juelsman for researching this one!
Variant Chimera: Credit to Numbra!
Spicy_Temp
Violet_Twilight-Nitral-Special

Merging

The following config was used to merge Azure Dusk and Crimson Dawn

slices:
  - sources:
      - model: Epiculous/Azure_Dusk-v0.2
        layer_range: [0, 40]
      - model: Epiculous/Crimson_Dawn-V0.2
        layer_range: [0, 40]
merge_method: slerp
base_model: Epiculous/Azure_Dusk-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	18.53
IFEval (0-Shot)	45.32
BBH (3-Shot)	23.94
MATH Lvl 5 (4-Shot)	2.72
GPQA (0-shot)	2.13
MuSR (0-shot)	13.61
MMLU-PRO (5-shot)	23.45

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	18.53
IFEval (0-Shot)	45.32
BBH (3-Shot)	23.94
MATH Lvl 5 (4-Shot)	2.72
GPQA (0-shot)	2.13
MuSR (0-shot)	13.61
MMLU-PRO (5-shot)	23.45