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Intelligent LLMs with a knack for storytelling and RP / ERP.
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L3.3-Shakudo-70b
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Model Information
L3.3-Shakudo-70b
Model Composition
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Final Merge: L3.3-Shakudo-70b
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Model 1: L3.3-M1-Hydrargyrum-70B
Model Creation Process
L3.3-Shakudo-70b is the result of a multi-stage merging process by Steelskull, designed to create a powerful and creative roleplaying model with a unique flavor. The creation process involved several advanced merging techniques, including weight twisting, to achieve its distinct characteristics.
Stage 1: The Cognitive Foundation & Weight Twisting
The process began by creating a cognitive and tool-use focused base model, L3.3-Cogmoblated-70B. This was achieved through a `model_stock` merge of several models known for their reasoning and instruction-following capabilities. This base was built upon `nbeerbower/Llama-3.1-Nemotron-lorablated-70B`, a model intentionally "ablated" to skew refusal behaviors. This technique, known as weight twisting, helps the final model adopt more desirable response patterns by building upon a foundation that is already aligned against common refusal patterns.
Stage 2: The Twin Hydrargyrum - Flavor and Depth
Two distinct models were then created from the Cogmoblated base:
- L3.3-M1-Hydrargyrum-70B: This model was merged using `SCE`, a technique that enhances creative writing and prose style, giving the model its unique "flavor." The Top_K for this merge were set at 0.22 .
- L3.3-M2-Hydrargyrum-70B: This model was created using a `Della_Linear` merge, which focuses on integrating the "depth" of various roleplaying and narrative models. The settings for this merge were set at: (lambda: 1.1) (weight: 0.2) (density: 0.7) (epsilon: 0.2)
Final Stage: Shakudo
The final model, L3.3-Shakudo-70b, was created by merging the two Hydrargyrum variants using a 50/50 `nuslerp`. This final step combines the rich, creative prose (flavor) from the SCE merge with the strong roleplaying capabilities (depth) from the Della_Linear merge, resulting in a model with a distinct and refined narrative voice.
A special thank you to Nectar.ai for their generous support of the open-source community and my projects.
Additionally, a heartfelt thanks to all the Ko-fi supporters who have contributed, your generosity is deeply appreciated and helps keep this work going and the Pods spinning.
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Recommended Sampler Settings
Static Temperature:
1.0 - 1.2
Min P:
0.02 - 0.025
DRY:
- Multiplier:
0.8
- Base:
1.74
- Length:
4-6
Good Starting Templates & Prompts
Hamon v1
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> Big-picture storytelling guide with world-building focus, set dialogue/narration split, and general writing rules.
Shingane v1
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> Simplified sysprompt based on Hamon.
Kesshin v1
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> A Hamon rethink using a Character-focused sys prompt that tracks what characters know and how they learn things, with strict interaction rules.
Kamae TTRPG v1
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> TTRPG Game Master framework emphasizing player agency, world consistency, and adaptive session management with mechanical integration.
Kamae lite v1
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> Simplified sysprompt based on Kamae.
Support & Community:
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Model tree for Steelskull/L3.3-Shakudo-70b
Base model
meta-llama/Llama-3.1-70B
Finetuned
meta-llama/Llama-3.3-70B-Instruct