SLERP merge
According to the model card, it is a mergekit SLERP merge of two 70B models with huihui-ai/Llama-3.3-70B-Instruct-abliterated as base.
Open Source Model Profile · Jolly-Q
Llama-3.3-70B-Inst-Ablit-Flammades-SLERP is a 70.6B-parameter Llama merge from Jolly-Q. The model card documents a mergekit SLERP of two 70B instruction models.
Llama-3.3-70B-Inst-Ablit-Flammades-SLERP is published by Jolly-Q as a text-generation merge. The captured configuration identifies LlamaForCausalLM with a llama model type and Safetensors metadata reports 70553706496 parameters. According to the model card, it combines huihui-ai instruction behavior with Flammades human-like reply training via SLERP.
According to the model card, it is a mergekit SLERP merge of two 70B models with huihui-ai/Llama-3.3-70B-Instruct-abliterated as base.
The model card says the merge attempts more human-like creativity on abliterated Llama 3.3 instruction following, drawing on Gutenberg-trained Flammades behavior.
According to the model card, the publisher documents temperature, Top-K, Top-P, MinP, repetition-penalty, XTC, DRY, BOS-token, and sampler-order settings.
Captured metadata records a llama3.3 license for this repository.
Source: Jolly-Q/Llama-3.3-70B-Inst-Ablit-Flammades-SLERP
Captured: Unknown. Processed: 2026-09-07T19:34:32.209078+00:00.
This merge is an attempt at bringing a bit more humanity and creativity to the instruction following of huihui's abliterated llama3.3 instruct. The flammenai model was trained on the gutenberg dataset as well as a dataset geared towards replying in a more human like fashion. I've had one instance of it quickly running away with itself, so keeping the temp around 1 or lower with a 1.02-1.04 rep pen has seemed promising in generating an even tone of responses. But there is always more sampler tweaking to be done. I have just Added an example chat with my sampler settings. Ymmv with reproducing this exactly, my system prompting and add…
F001F002F003F004F005F006F007F010F011F012F013F014F015F016