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Model: Retreatcost/KansenSakura-Conflagration-RP-12b Source: Original Platform
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---
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base_model:
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- ohyeah1/Violet-Lyra-Gutenberg-v2
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- DavidAU/MN-Dark-Planet-TITAN-12B
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- intervitens/mini-magnum-12b-v1.1
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- yamatazen/FusionEngine-12B-Lorablated
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- Marcjoni/KiloNovaSynth-12B
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- PocketDoc/Dans-SakuraKaze-V1.0.0-12b
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- Retreatcost/Chrysologus-12B
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- PocketDoc/Dans-DangerousWinds-V1.1.0-12b
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- LatitudeGames/Wayfarer-2-12B
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- ReadyArt/Omega-Darker_The-Final-Directive-12B
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- yamatazen/EsotericSage-12B
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- bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
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- mistralai/Mistral-Nemo-Base-2407
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- allura-org/Tlacuilo-12B
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- LatitudeGames/Muse-12B
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- Trappu/Nemo-Picaro-12B
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library_name: transformers
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tags:
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- mergekit
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- merge
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- axolotl
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- not-for-all-audiences
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- nsfw
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license: apache-2.0
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---
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# KansenSakura-Conflagration-RP-12b
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<style>
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.img {
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transition: all 0.3s ease-in-out;
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}
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.img:hover {
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transition: all 0.3s ease-in-out;
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filter: saturate(1.2) brightness(1.2) contrast(0.9);
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}
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</style>
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<pre>
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Fire consumes the garden
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Petals burn to screaming light
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<span style="color: #FF4500;">IGNITION PROTOCOL: ACTIVE</span>
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Dialogue becomes wildfire
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Actions speak in tongues of flame
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</pre>
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<img class="img" src="https://cdn-uploads.huggingface.co/production/uploads/6671dd5203d6e8087aaf7ce5/KD8C1Wh-JSb7YdgL07llX.png">
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<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/6671dd5203d6e8087aaf7ce5/CHqKyh-1oVDban_2GWnnr.mpga"></audio>
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## DISCLAIMER
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This is first model that I actually trained (very light finetune, but nevertheless), so expect it to have quirks and rough edges sometimes.
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## 🔥 NAPALM-CLASS INTERACTION ENGINE
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<div>When Erosion finished its work, only ash remained.</div>
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<div>From those cinders rises Conflagration - an engine that trades introspection for incineration, psychology for pyrotechnics.</div>
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<br>
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<div>Where Erosion analyzed, Conflagration acts.</div>
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<div>Where Erosion pondered, Conflagration speaks.</div>
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<div>This is not a model for those who watch the fire.</div>
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<div>This is for those who become the flame.</div>
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## ⚡ OVERVIEW
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**KansenSakura-Conflagration-RP-12b** is the white-hot successor to the Erosion engine, optimized for kinetic narrative exchange. Trading psychological depth for raw interactive intensity, Conflagration specializes in rapid-fire dialogue, decisive character action, and scenes that move at the speed of thought. The fire doesn't contemplate - it consumes.
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## 🎯 DEPLOYMENT PROFILE
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**Optimal use cases:**
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- 🗣️ Rapid-fire character banter and dialogue
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- ⚡ High-tension action sequences
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- 🔥 Romantic or adversarial chemistry
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- 💥 Scenes requiring decisive character action
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- 🎭 Ensemble casts with clear character voices
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## ⚠️ CONTAINMENT NOTES
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**This model exhibits:**
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- Reduced introspection compared to Erosion
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- Heightened character reactivity
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- Optimized dialogue-to-prose ratio
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- NSFW capabilities (passionate/aggressive interactions)
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- Potential for scene momentum override
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## ✍🏻 INFERENCE TIPS
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1. **Temperature**: 0.8
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2. **Repetition Penalty**: 1.05
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3. **TOP_P**: 0.93
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4. **TOP_K**: 0 (disable)
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5. **MIN_P**: 0.025
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6. **Template Format**: ChatML
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7. **Max Output**: 360
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8. **Context Management**: 16K
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## REPRODUCTION STEPS
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<details>
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<summary>Spoiler warning</summary>
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1. Create intermediate models
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SakuraSynth-12B:
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```yml
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merge_method: arcee_fusion
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base_model: Marcjoni/KiloNovaSynth-12B
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models:
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- model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
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dtype: bfloat16
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out_dtype: bfloat16
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```
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FinalWind-12B:
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```yml
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merge_method: ties
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models:
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- model: PocketDoc/Dans-DangerousWinds-V1.1.0-12b
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parameters:
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density: [0.1, 0.25, 1.0, 0.5, 1.0]
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weight: 1.0
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- model: LatitudeGames/Wayfarer-2-12B
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parameters:
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density: [1.0, 0.5, 0.01]
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weight: [1.0, 0.5]
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- model: ReadyArt/Omega-Darker_The-Final-Directive-12B
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parameters:
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density: [0.75, 1.0, 0.6, 0.25, 0.01]
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weight: [1.0, 0.5]
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- model: yamatazen/EsotericSage-12B
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parameters:
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density: [0.1, 0.1, 0.25, 1.0, 0.01]
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weight: 1.0
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- model: bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
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parameters:
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density: [0.1, 0.5, 1.0, 0.5, 0.01]
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weight: 1.0
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base_model: mistralai/Mistral-Nemo-Base-2407
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parameters:
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normalize: true
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dtype: float16
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```
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Darkness-12B:
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```yml
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merge_method: karcher
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models:
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- model: ds_one
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- model: ds_two
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- model: ds_three
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parameters:
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max_iter: 100000
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tol: 1e-9
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dtype: bfloat16
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```
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This model is created by combining **arcee_fusion** merges of three models using **task_arithmetic**:
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ds_one_f1:
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```yml
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merge_method: arcee_fusion
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base_model: Violet-Lyra-Gutenberg-v2-ChatML-darker
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models:
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- model: MN-Dark-Planet-TITAN-12B-ChatML-darker
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dtype: bfloat16
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out_dtype: bfloat16
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```
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ds_one_f2:
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```yml
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merge_method: arcee_fusion
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base_model: Violet-Lyra-Gutenberg-v2-ChatML-darker
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models:
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- model: mini-magnum-12b-v1.1-ChatML-darker
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dtype: bfloat16
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out_dtype: bfloat16
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```
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ds_one:
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```yml
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merge_method: task_arithmetic
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base_model: Violet-Lyra-Gutenberg-v2-ChatML-darker
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models:
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- model: ds_one_f1
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parameters:
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weight: 0.5
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- model: ds_one_f2
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parameters:
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weight: 0.5
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normalize: false
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dtype: bfloat16
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```
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The same procedure is repeated for each model as a base.
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Base models were re-tokenised and reverse-abliterated:
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```yml
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merge_method: task_arithmetic
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base_model: MN-Dark-Planet-TITAN-12B-ChatML
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models:
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- model: MN-Dark-Planet-TITAN-12B-ChatML-abliterated
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parameters:
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weight: 1.0
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parameters:
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lambda: -1.0
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normalize: false
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dtype: bfloat16
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```
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By applying -1.0 to **task_arithmetic** we gain more censored model, that outputs considerably more unhinged and dark outputs.
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The idea behind was to create 3 such models and combine them in a way, that cancels out censored nature and boosts dark outputs.
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Abliteration was made with [llm-abliteration](https://github.com/jim-plus/llm-abliteration) tools by [grimjim](https://huggingface.co/grimjim)
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Reference his awesome [article](https://huggingface.co/blog/grimjim/projected-abliteration) for more in-depth explanations.
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2. Create initial model
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```yml
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merge_method: multislerp
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models:
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- model: yamatazen/FusionEngine-12B-Lorablated
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parameters:
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weight: [1.000, 1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
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- model: SakuraSynth-12B
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parameters:
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weight: [0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
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- model: Retreatcost/Chrysologus-12B
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parameters:
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weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
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- model: FinalWind-12B
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parameters:
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weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
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- model: Darkness-12B
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parameters:
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weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000]
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- model: Pyrographos-12B
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parameters:
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weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 0.000, 0.000]
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dtype: bfloat16
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parameters:
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normalize: true
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tokenizer_source: Retreatcost/KansenSakura-Erosion-RP-12b
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```
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3. Apply delerp merge
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```yml
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merge_method: delerp
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base_model: mistralai/Mistral-Nemo-Base-2407
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models:
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- model: KS-Conflagration
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- model: mistralai/Mistral-Nemo-Base-2407
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parameters:
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t: [0.7, 0.88, 0.999, 0.88, 0.88, 0.999, 0.999]
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dtype: bfloat16
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tokenizer_source: Retreatcost/KansenSakura-Erosion-RP-12b
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```
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Another great [article](https://huggingface.co/blog/grimjim/delerp-merge-method) by [grimjim](https://huggingface.co/grimjim)
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This merge method essentially re-iflated model with original "Base" weights, while preserving instruction following and other model features.
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I've used specific values of 0.7 and 0.999, that were used by original author and 0.88 as "middle ground" between those.
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4. Apply nearswap merge
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```yml
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merge_method: nearswap
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base_model: KS-Conflagration-Delerp
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models:
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- model: KS-Conflagration
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parameters:
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t: [0.0005, 0.0002, 0.0000, 0.0002, 0.0002, 0.0000, 0.0000]
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dtype: bfloat16
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tokenizer_source: Retreatcost/KansenSakura-Erosion-RP-12b
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```
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While I felt that delerp merge boosted writing, creativity and factual accuracy it also somewhat watered down NSFW and instruction following parts.
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This merge brings these capabilities back.
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5. Do a finetuning
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I did an rsLoRa r64 a64 finetuning, targeting all linear projections, that had 25K rows dataset of 4k length samples which contained hazardous and NSFW data.
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6. Add anoter nearswap merge to boost NSFW/Dark aspects
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```yml
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merge_method: nearswap
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base_model: KansenSakura-Conflagration-RP-12b-RC3
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models:
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- model: KansenSakura-Conflagration-RP-12b-darken
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parameters:
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t: [0.0000, 0.0000, 0.0000, 0.000275, 0.000550, 0.0000, 0.000275]
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dtype: bfloat16
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tokenizer_source: KansenSakura-Conflagration-RP-12b-RC3
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```
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After training the refusal curves were smoothed a lot and I felt that I could sacrifice a bit more of "uncensored" model to boost desired parts and I repeated the process from step 3.
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Reverse-abliteration and then using nearswap to gently boost already present features.
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This is final step and this is how the model was produced.
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</details>
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## 🙏 ACKNOWLEDGMENTS
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- Original model authors
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- Awesome **[Ready.Art](https://huggingface.co/ReadyArt)** community
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- **[Team mradermacher](https://huggingface.co/mradermacher)**: for awesome quants
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- **[DeathGodlike](https://huggingface.co/DeathGodlike)**: for awesome quants in EXL3
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- **You**, the ember. Let your prompts ignite your desires.
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## 🔥 AFTER ACTION REPORT
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> The garden burned. From its ashes grew something quicker, hotter, more immediate. Conflagration doesn't ask why the petals catch fire - it just ensures they burn brightly enough to light the way forward. Sometimes, the most profound statement is a well-timed action, not a perfectly crafted thought.
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<span style="color: #FF4500;">// CONFLAGRATION PROTOCOL: ONLINE</span><br>
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<span style="color: #FF4500;">// READY TO IGNITE</span>
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14
chat_template.jinja
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14
chat_template.jinja
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{%- set loop_messages = messages %}
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{%- for message in loop_messages %}
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{%- set content = '<|im_start|>' + message['role'] + '\n'+ message['content'] | trim %}
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{%- if loop.index0 == 0 %}
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{%- set content = content %}
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{%- endif %}
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{%- if not (loop.last and message['role'] == 'assistant') %}
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{%- set content = content + '<|im_end|>\n' %}
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{%- endif %}
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{{- content }}
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{%- endfor %}
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{%- if messages[-1]['role'] != 'assistant' %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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26
config.json
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26
config.json
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"model.layers.8.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00005-of-00005.safetensors",
|
||||
"model.norm.weight": "model-00005-of-00005.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ee57bd3271d8c200a06df40f9d7c94f8bb8f085b5cfb2d40907a794560df2ec3
|
||||
size 17078342
|
||||
8015
tokenizer_config.json
Normal file
8015
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user