---

license: apache-2.0 datasets:

• Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
• anthracite-org/stheno-filtered-v1.1
• PJMixers/hieunguyenminhroleplay-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/nopmclaudewritingfixed
• anthracite-org/kaloopusmisc_240827

language:

• en
• fr
• de
• es
• it
• pt
• ru
• zh
• ja

pipeline_tag: text-generation tags:

• merge

---

!image/png

Now for something a bit different, VioletTwilight-v0.2! This model is a SLERP merge of AzureDusk-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!
SpicyTemp
VioletTwilight-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
basemodel: Epiculous/AzureDusk-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