Post
3,815
TURBO-BRILLIANCE 50X - Qwen 3.8 27B, Qwen-Flash Next (120B) Reg and Ablit/Uncensored, NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB
15 AI CONSTRUCTS, SOTA Models + Turbo Brilliance:
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).
Each mode / construct reduces over all token usage and increases answer quality...
Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) 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, ... including our strongest fine tunes too). The "rollout" is now in progress...
Qwen-Flash-Next 120B, and run on 12GB GPU too (special project) at high speed, with RSQ-RCO BF16 level quants :
REG Version:
DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF
Abliterated/Uncensored:
DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB: (2 bit, QAT, at close to BF16 performance , only 22GB!)
DavidAU/NVIDIA-Nemotron-3.5-Bolt-Turbo-Brilliance-50x-74B-A9B-24GB-GGUF
Qwen 3.8, 27B version:
DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
PS: Qwen Next, LFM2.5 24B-A2B, Qwen 3.6 35B-A3B and others in testing now / coming soon.
COLLECTION:
https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct
Please see our support page for breakdown of models (sort), info on projects and a lot more information:
DavidAU/support
15 AI CONSTRUCTS, SOTA Models + Turbo Brilliance:
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).
Each mode / construct reduces over all token usage and increases answer quality...
Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) 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, ... including our strongest fine tunes too). The "rollout" is now in progress...
Qwen-Flash-Next 120B, and run on 12GB GPU too (special project) at high speed, with RSQ-RCO BF16 level quants :
REG Version:
DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF
Abliterated/Uncensored:
DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB: (2 bit, QAT, at close to BF16 performance , only 22GB!)
DavidAU/NVIDIA-Nemotron-3.5-Bolt-Turbo-Brilliance-50x-74B-A9B-24GB-GGUF
Qwen 3.8, 27B version:
DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
PS: Qwen Next, LFM2.5 24B-A2B, Qwen 3.6 35B-A3B and others in testing now / coming soon.
COLLECTION:
https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct
Please see our support page for breakdown of models (sort), info on projects and a lot more information:
DavidAU/support