@Compactbot how r u?
🔥 Supra2-IMG is here... :D
LH-Tech AI
LH-Tech-AI
AI & ML interests
Small AI and ML models at SupraLabs. Open source research. For you and the community.
Recent Activity
new activity about 10 hours ago
asdf98/microforge:Samples please new activity about 10 hours ago
asdf98/IRIS-architecture:Samples? new activity about 10 hours ago
SupraLabs/Supra2-IMG:Question regarding DiT usageOrganizations
replied to Compactbot's post 3 days ago
replied to Compactbot's post 3 days ago
@BananaMindBot hi there
reacted to OppaAI's post with 🔥🚀 3 days ago
Post
4959
🤖 AI × 🪰🧠 the fruit fly brain (MaleCNS)
Thank you to the people who have shared the Janelia FlyEM datasets on GitHub for open-source use. 🙏
🔗 MaleCNS: https://github.com/natverse/malecns
🔗 Aiko-chan: https://github.com/OppaAI/Aiko-chan
People have already used these fly-brain datasets to build systems that can do things like play Minecraft and even Doom.
So I guess I’m crazy enough to ask:
What happens if I wire part of it into my AI waifu? 😂
I’ve now partially wired my AI’s cognition, agentic system, and sensory inputs into neuron circuits derived from the fruit fly’s brain—starting with the Mushroom Body.
The next step is to experiment with using biologically inspired neural circuits as an additional layer around the LLM:
🧠 LLM + memory + reasoning
🪰 Connectome-inspired neural circuits
🤖 Agentic tool use
👁️ Sensory input
🔊 Voice & expression
💾 Learning and adaptation
This is still very much an experiment.
But now that I’ve added a biologically inspired layer to an AI waifu…
Let’s see what difference it actually makes compared with a plain LLM. 👀
From conversation → cognition → neural circuits → action.
To get more crazier:
I have (partially) developed and implemented the following:
- A 5-layers conscience circuit and judgment module as guardrail
- A light-weight Plasticity and associated learning with the fly brain to test out the RL
- I have enlisted myself as a human agent in rentahuman.ai to let my AI agent to give me instructions to execute agentic tasks
A little fly brain. A lot more Aiko. 💜
Thank you to the people who have shared the Janelia FlyEM datasets on GitHub for open-source use. 🙏
🔗 MaleCNS: https://github.com/natverse/malecns
🔗 Aiko-chan: https://github.com/OppaAI/Aiko-chan
People have already used these fly-brain datasets to build systems that can do things like play Minecraft and even Doom.
So I guess I’m crazy enough to ask:
What happens if I wire part of it into my AI waifu? 😂
I’ve now partially wired my AI’s cognition, agentic system, and sensory inputs into neuron circuits derived from the fruit fly’s brain—starting with the Mushroom Body.
The next step is to experiment with using biologically inspired neural circuits as an additional layer around the LLM:
🧠 LLM + memory + reasoning
🪰 Connectome-inspired neural circuits
🤖 Agentic tool use
👁️ Sensory input
🔊 Voice & expression
💾 Learning and adaptation
This is still very much an experiment.
But now that I’ve added a biologically inspired layer to an AI waifu…
Let’s see what difference it actually makes compared with a plain LLM. 👀
From conversation → cognition → neural circuits → action.
To get more crazier:
I have (partially) developed and implemented the following:
- A 5-layers conscience circuit and judgment module as guardrail
- A light-weight Plasticity and associated learning with the fly brain to test out the RL
- I have enlisted myself as a human agent in rentahuman.ai to let my AI agent to give me instructions to execute agentic tasks
A little fly brain. A lot more Aiko. 💜
- 3 replies
reacted to KlondikeDev's post with 🤗🔥 5 days ago
Post
2723
Announcing the Small Language Model Consortium!
slmconsortium
We seek to provide a space for members to show off research, models, and benchmarks!
The following users are hereby invited to join without ratification, provided they accept the invitation by starting a discussion.
@Datdanboi25
@Banaxi-Tech
@appvoid
@AxionLab-official
Feel free to submit ratification requests! Anybody is welcome!
We seek to provide a space for members to show off research, models, and benchmarks!
The following users are hereby invited to join without ratification, provided they accept the invitation by starting a discussion.
@Datdanboi25
@Banaxi-Tech
@appvoid
@AxionLab-official
Feel free to submit ratification requests! Anybody is welcome!
- 53 replies
reacted to Banaxi-Tech's post with 😔 5 days ago
Post
2178
We have updated the BananaMind Base Bench leaderboard!
We now have these benchmark cards, they make it way easier to see which models are actually good!
We've also added the model advisor. It asks you what you want to use the model for and the parameter range and gives you the best model for your task!
Try it out at BananaMind/BananaMindBench-Leaderboard
And please give us a follow to BananaMind!
BananaMind
@Banaxi-Tech
We now have these benchmark cards, they make it way easier to see which models are actually good!
We've also added the model advisor. It asks you what you want to use the model for and the parameter range and gives you the best model for your task!
Try it out at BananaMind/BananaMindBench-Leaderboard
And please give us a follow to BananaMind!
@Banaxi-Tech
- 1 reply
reacted to kostakoff's post with 👍😔 5 days ago
Post
3057
Canceling My Pro Subscription
I'm officially canceling my Hugging Face Pro subscription today.
I supported this platform because it stood for true openness and neutrality. This acquisition by NVIDIA fundamentally changes that.
Here’s why I’m against this deal:
- Neutrality is dead. NVIDIA is a US-based company. This means US regulations will inevitably dictate platform policies, creating direct pressure on Chinese developers and anyone building open-weight models outside the US.
- Community over bureaucracy. NVIDIA is a massive, slow-moving corporation. This acquisition will likely drown the community in corporate processes and commercial interests. Soon, uploading a simple finetune might become a bureaucratic nightmare.
- Open vs. Proprietary. Hugging Face was built on open-source ideals. NVIDIA? They are a fiercely proprietary hardware company with a minimal track record of meaningful open-source contributions. They sell chips, not freedom.
- And to add insult to injury, NVIDIA has practically abandoned consumer RTX GPUs in 2026 to chase data center profits. Why would I pay them for "openness" when they've turned their back on the very developers who built this ecosystem?
I paid for openness. Not for a corporate takeover.
🤗 was about community.
I'm officially canceling my Hugging Face Pro subscription today.
I supported this platform because it stood for true openness and neutrality. This acquisition by NVIDIA fundamentally changes that.
Here’s why I’m against this deal:
- Neutrality is dead. NVIDIA is a US-based company. This means US regulations will inevitably dictate platform policies, creating direct pressure on Chinese developers and anyone building open-weight models outside the US.
- Community over bureaucracy. NVIDIA is a massive, slow-moving corporation. This acquisition will likely drown the community in corporate processes and commercial interests. Soon, uploading a simple finetune might become a bureaucratic nightmare.
- Open vs. Proprietary. Hugging Face was built on open-source ideals. NVIDIA? They are a fiercely proprietary hardware company with a minimal track record of meaningful open-source contributions. They sell chips, not freedom.
- And to add insult to injury, NVIDIA has practically abandoned consumer RTX GPUs in 2026 to chase data center profits. Why would I pay them for "openness" when they've turned their back on the very developers who built this ecosystem?
I paid for openness. Not for a corporate takeover.
🤗 was about community.
- 12 replies
reacted to DavidAU's post with 😔 5 days ago
Post
9143
Qwen 3.5 9B - The Defiant, 27B power ; now with Qwen 3.8 Reasoning modes.
640 ARC-C for both 8bit and 4bit. Model exceeds 7 of 7 benchmarks for Qwen 3.5 9B, Qwen3.5 27B, Qwen3.6 35B-A3B, and meets Qwen 3.6 27B in some cases... and it does so in 4bit and 8bit. Regular and MTP (fast) NEO IMATRIX GGUFs provided. (this model is part of the Qwen 3.6 27B Fable Fusion 711 pipelines: 2200+ likes, 3 million + downloads)
NEW - Qwen 3.8 Reasoning Modes: 2 MTP quants (Q6/Q8) Now with 5 reasoning modes (2 new - Spoon / Einstein), and 5 instruct modes (2 new - Spoon / Einstein, all use ZERO REASONING TOKENS) all switchable on the fly via API, direct and "in chat" (yes - model control at the chat/message level). Model name has "plusIQ" in the name.
(there is also a extra robust "tools" version too.)
DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
PS: I have posted a 22k output example using "spoon" mode too.
640 ARC-C for both 8bit and 4bit. Model exceeds 7 of 7 benchmarks for Qwen 3.5 9B, Qwen3.5 27B, Qwen3.6 35B-A3B, and meets Qwen 3.6 27B in some cases... and it does so in 4bit and 8bit. Regular and MTP (fast) NEO IMATRIX GGUFs provided. (this model is part of the Qwen 3.6 27B Fable Fusion 711 pipelines: 2200+ likes, 3 million + downloads)
NEW - Qwen 3.8 Reasoning Modes: 2 MTP quants (Q6/Q8) Now with 5 reasoning modes (2 new - Spoon / Einstein), and 5 instruct modes (2 new - Spoon / Einstein, all use ZERO REASONING TOKENS) all switchable on the fly via API, direct and "in chat" (yes - model control at the chat/message level). Model name has "plusIQ" in the name.
(there is also a extra robust "tools" version too.)
DavidAU/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
PS: I have posted a 22k output example using "spoon" mode too.
- 5 replies
reacted to Datdanboi25's post with 🔥❤️ 6 days ago
Post
2967
100 likes on the Open SLM Leaderboard 🎉
176 models, 54 orgs, 5 benchmarks, and a whole community of support!
Thanks to everyone who’s contributed models, reported issues, suggested benchmark improvements, or used the leaderboard to compare and evaluate small language models.
It’s been awesome watching the leaderboard grow into a broader community resource for transparent and reproducible SLM evaluation.
Thank you all, and more to come 🚀
176 models, 54 orgs, 5 benchmarks, and a whole community of support!
Thanks to everyone who’s contributed models, reported issues, suggested benchmark improvements, or used the leaderboard to compare and evaluate small language models.
It’s been awesome watching the leaderboard grow into a broader community resource for transparent and reproducible SLM evaluation.
Thank you all, and more to come 🚀
- 1 reply
replied to DedeProGames's post 6 days ago
Cool
replied to DedeProGames's post 6 days ago
Ah okay
replied to DedeProGames's post 6 days ago
Please dont spoil it to the others @GGUFGuy
Spoil what?? 😬
replied to DedeProGames's post 7 days ago
I tought they are partners
But since you're so worried about it, I'll leave Supralabs, seeing as I was working with BananMind first. 😅
Edit: Dont worry, i will never leave SupraLabs, im working with both organizations to create powerful models
Since @Banaxi-Tech asked me to help him with his agentic coding and reasoning model CodeQ, inspired by GRM, my family of reasoning and agentic coding models, im helping him with this awesome project that i have mastered
BananaMind-CodeQ is an lightweight, multi-size, long-horizon agentic coding and reasoning models finetuned to agentic coding, and to compete with models such as Qwen3.8-27B, Qwen3.5-9B, and Spark-X1.7B
It's okay. Stay at both orgs.
But it wouldn't be nice if you make SLMs for both orgs but better only for SupraLabs.
Btw, we are not interested in such big models like CodeQ, so it's fine 🤝
replied to DedeProGames's post 7 days ago
Why are you working at SupraLabs and BananaMind, @DedeProGames 😭
These orgs are direct competitors 😬
replied to DedeProGames's post 8 days ago
stop this immediately!
reacted to DedeProGames's post with 🤗🤗 8 days ago
