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Switching things up a bit since the last slew of models were all 12B, we now have NovaSpark! NovaSpark is an 8B model trained on GrimJim's abliterated version of arcee's SuperNova-lite. The hope is abliteration will remove some of the inherant refusals and censorship of the original model, however I noticed that finetuning on GrimJim's model undid some of the abliteration, therefore more than likely abiliteration will have to be reapplied to the resulting model to reinforce it.

Quants!

full / exl2 / gguf

Prompting

This model is trained on llama instruct template, the prompting structure goes a little something like this:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Context and Instruct

This model is trained on llama-instruct, 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

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GGUF
Model size
8.03B params
Architecture
llama

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8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

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Datasets used to train mav23/NovaSpark-GGUF