This model has been designed to be relatively bullet proof and operates with all parameters, including temp settings from 0 to 5. It is an extraordinary compressed model, with a very low perplexity level (lower than Meta Llama3 Instruct). Note the "float32" version of this model behaves VERY differently which is why it was not uploaded first. Usually I would use the "float32" version only, however the "character range" displayed by the Bfloat16 and Float32 versions of this model dictate they have their own repos.
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VERSION 2: All the power of "Darkest Planet" now with 128k context, additional de-censoring, performance improvements and re-mastered source and ggufs in float 32 ( 32 bit precision ). This model has been designed to be relatively bullet proof and operates with most parameters, including temp settings from 0 to 5. This is a an altered version of "Dark Planet 8B" [https://huggingface.co/DavidAU/L3-Dark-Planet-8B-GGUF] using the Brainstorm 40x method developed by David_AU to drastically alter the models prose output and abilities. This also expands the model by 40 layers (to 71 layers) to 16.5B parameters (642 tensors).
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IMPORTANT: This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s)). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (12+12) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, etc etc). NOTE: BF16 gguf now avail. The NEXT STEP, (and evolution of Turbo Brilliance) is here (including 15 AI CONSTRUCTS): https://huggingface.co/DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF The Turbo Brilliance system (12 reasoning and 12 instruct modes) vastly augments the models core performance and includes interactive help system directly connected to the model.
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SOTA LFM speed, benchmarks and power plus Turbo Brilliance: 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning (27) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, and our fine tunes too). The Turbo Brilliance system (27 reasoning modes) vastly augments the models core performance and includes interactive help system directly connected to the model. This is like playing "Pong" vs "Entering the Matrix"... because Turbo Brilliance pushes the model right to the redline and literally "frees your mind" (and your time too).
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IMPORTANT: This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s)). Please read this model card carefully to get the most from it - including all 12 reasoning modes that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, etc etc). LFM 2.5-2.6B (dense): https://huggingface.co/DavidAU/LFM2.5-2.6B-Qwen3.8-Turbo-Brilliance-Power-X12-NEO-MAX-GGUF The NEXT STEP, (and evolution of Turbo Brilliance) is here (including 15 AI CONSTRUCTS): https://huggingface.co/DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
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It is a LLama 3.1 model, max context of 1 million tokens, with additional steps to improve generation and re-mastered source and ggufs in float 32 (32 bit precision). There are TWO quant sets here, "reg" and "V1.01" (noted in filename). The latter has modifications to address some issues related to non-stop/overly long gen and/or repeat "end paragraph" issues. I am keeping the org quants too, because of the difference in creative generation between the two versions is very strong. I am not saying "reg" is better than "v1.01", they are just different, and you should have the choice between both in my opinion. This model was converted to Nvidia's new "UltraLong8B" long context Llama 3.1 model structure (https://huggingface.co/nvidia/Llama-3.1-8B-UltraLong-1M-Instruct) which allowed full transfer of "Dark Planet 8B" in all it's "glory" so to speak. Due to Nvidia's structure, the new Dark Planet has attained far greater long generation not only in terms of context, but also coherence too. There is a also a bump in overall performance as well.
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