@Banaxi-Tech bruh BananaMind needs comeback
🏗️ Building on HF
Boning Cui
Bc-AI
AI & ML interests
He/Him. I like LLM's and VLM's. I work with my other friends to make stuff. We are in year 7 and we are enthusiastic about AI. We are based in Australia 🇦🇺 (QLD Btw)
Recent Activity
repliedto Banaxi-Tech's post about 1 hour ago
BananaMind is in the google situation before argon right now, right? repliedto Banaxi-Tech's post about 1 hour ago
BananaMind is in the google situation before argon right now, right? reacted to Banaxi-Tech's post with 😔 about 1 hour ago
BananaMind is in the google situation before argon right now, right?Organizations
replied to Banaxi-Tech's post about 1 hour ago
replied to Banaxi-Tech's post about 1 hour ago
@Banaxi-Tech i can help too. I made another lab called @OpenModel-Researcher
reacted to Banaxi-Tech's post with 😔 about 1 hour ago
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473
BananaMind is in the google situation before argon right now, right?
- 5 replies
reacted to mithulaartigala's post with 🔥 about 19 hours ago
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225
We need to make software where people can start using decision models.
liked a
dataset about 21 hours ago
reacted to Banaxi-Tech's post with 😔 1 day ago
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145
So... im on vacation for 5 more days and I just realized... my hotel doesent have a grounding port 😟 so my pc shocked me 3 times.
So no progress for 5 days... only me and this phone
So no progress for 5 days... only me and this phone
- 2 replies
replied to Banaxi-Tech's post 1 day ago
@Banaxi-Tech wdym shocked you? Zap?
reacted to DedeProGames's post with 🚀🔥➕🧠🤝👀👍 2 days ago
replied to DedeProGames's post 2 days ago
or the internet bandwidth lol
Plans
6
#1 opened 2 months ago
by 
Reality123b
im making a agent app for orion too lol
18
#1 opened 6 days ago
by Bc-AI
reacted to DavidAU's post with 🚀 6 days ago
Post
7,145
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