@Banaxi-Tech nice i joined. whats it for?
🏗️ 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 🇦🇺
Recent Activity
Organizations
@Banaxi-Tech excited to see what Bananamind 2.1 brings! i trust it will be very novel lol
nice!
reacted to Banaxi-Tech's post with 🤯🤝👍🧠➕😎❤️🤗🚀 about 14 hours ago
Post
1241
We're delaying BananaMind 2.1!
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.
We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!
We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.
Please give us a follow!
BananaMind
@Banaxi-Tech
---
@vovaRL
@DedeProGames
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.
We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!
We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.
Please give us a follow!
@Banaxi-Tech
---
@vovaRL
@DedeProGames
- 7 replies
replied to Banaxi-Tech's post about 14 hours ago
ye true
replied to Banaxi-Tech's post about 18 hours ago
nice finally a code model i can benchmark against lol
replied to ProCreations's post 3 days ago
nice
replied to their post 3 days ago
@Anduin1357 ooh i see! i will look into it! We are constantly experimenting with novel architecutres, and if it works we will release minicoder-2 with this feature! thank you for the suggestion!
reacted to their post with 👍 4 days ago
Post
2536
Smilyai News
Hello everyone! August has been a crazy month for us at Smilyai-Labs. We've been doing lots behind the scenes, so here's the latest 👇
1. MiniCoder
We are very close to releasing MiniCoder-1, our first-generation coding model designed for reasoning and coding. Our planned context window is 128K, but the earlier versions probably will not support that long! It's currently in the final stages of DPO so expect a release in early september.
Release: VERY SOON™🤣
2. Smilyai G1
So, the current plan is 20B parameter model total, with a MoE architecture, activating around 2B parameters per token. Its desgigned for maximum performance but keeping it runnable on consumer hardware. It's only a plan and i have no idea when me and the team can finish it. Expect a launch around the end of september to early october-ish. I have no guarantees so don't quote me on the launch date.
3. T1
Smilyai-T1 is another major model we are working on.
The goal for T1 is to take what we learnt from the countless architectural experiments and creating a powerful model designed for thinking. Think MiniCoder but reasons more and G1 but more capable. Its main goals are coding, math, reasoning and general capability.
4. Omni
We are also planning Omni, our first from scratch multimodal model. It will not launch this year as it will take a while. We are actively researching the best architecture for it and we will update progress as we go!
Thanks to our beta testers:
@guardamarcos
@ProCreations
@juiceb0xc0de
@Timmy6767
@Sbui503
@atom77777
@Fishtiks
@smartdigitalnetworks
@EmetTheGolum
@smilyai-large-team
@MUK-IS-GOAT
@Bc-AI
Thanks to my friends who work with me at lunchtimes (Smilyai-Labs team):
@MUK-IS-GOAT
@smilyai-large-team
August was wild. Let’s see what September brings. 🚀
— Bc-AI, on behalf of SmilyAI Labs
Hello everyone! August has been a crazy month for us at Smilyai-Labs. We've been doing lots behind the scenes, so here's the latest 👇
1. MiniCoder
We are very close to releasing MiniCoder-1, our first-generation coding model designed for reasoning and coding. Our planned context window is 128K, but the earlier versions probably will not support that long! It's currently in the final stages of DPO so expect a release in early september.
Release: VERY SOON™🤣
2. Smilyai G1
So, the current plan is 20B parameter model total, with a MoE architecture, activating around 2B parameters per token. Its desgigned for maximum performance but keeping it runnable on consumer hardware. It's only a plan and i have no idea when me and the team can finish it. Expect a launch around the end of september to early october-ish. I have no guarantees so don't quote me on the launch date.
3. T1
Smilyai-T1 is another major model we are working on.
The goal for T1 is to take what we learnt from the countless architectural experiments and creating a powerful model designed for thinking. Think MiniCoder but reasons more and G1 but more capable. Its main goals are coding, math, reasoning and general capability.
4. Omni
We are also planning Omni, our first from scratch multimodal model. It will not launch this year as it will take a while. We are actively researching the best architecture for it and we will update progress as we go!
Thanks to our beta testers:
@guardamarcos
@ProCreations
@juiceb0xc0de
@Timmy6767
@Sbui503
@atom77777
@Fishtiks
@smartdigitalnetworks
@EmetTheGolum
@smilyai-large-team
@MUK-IS-GOAT
@Bc-AI
Thanks to my friends who work with me at lunchtimes (Smilyai-Labs team):
@MUK-IS-GOAT
@smilyai-large-team
August was wild. Let’s see what September brings. 🚀
— Bc-AI, on behalf of SmilyAI Labs
posted an update 4 days ago
Post
2536
Smilyai News
Hello everyone! August has been a crazy month for us at Smilyai-Labs. We've been doing lots behind the scenes, so here's the latest 👇
1. MiniCoder
We are very close to releasing MiniCoder-1, our first-generation coding model designed for reasoning and coding. Our planned context window is 128K, but the earlier versions probably will not support that long! It's currently in the final stages of DPO so expect a release in early september.
Release: VERY SOON™🤣
2. Smilyai G1
So, the current plan is 20B parameter model total, with a MoE architecture, activating around 2B parameters per token. Its desgigned for maximum performance but keeping it runnable on consumer hardware. It's only a plan and i have no idea when me and the team can finish it. Expect a launch around the end of september to early october-ish. I have no guarantees so don't quote me on the launch date.
3. T1
Smilyai-T1 is another major model we are working on.
The goal for T1 is to take what we learnt from the countless architectural experiments and creating a powerful model designed for thinking. Think MiniCoder but reasons more and G1 but more capable. Its main goals are coding, math, reasoning and general capability.
4. Omni
We are also planning Omni, our first from scratch multimodal model. It will not launch this year as it will take a while. We are actively researching the best architecture for it and we will update progress as we go!
Thanks to our beta testers:
@guardamarcos
@ProCreations
@juiceb0xc0de
@Timmy6767
@Sbui503
@atom77777
@Fishtiks
@smartdigitalnetworks
@EmetTheGolum
@smilyai-large-team
@MUK-IS-GOAT
@Bc-AI
Thanks to my friends who work with me at lunchtimes (Smilyai-Labs team):
@MUK-IS-GOAT
@smilyai-large-team
August was wild. Let’s see what September brings. 🚀
— Bc-AI, on behalf of SmilyAI Labs
Hello everyone! August has been a crazy month for us at Smilyai-Labs. We've been doing lots behind the scenes, so here's the latest 👇
1. MiniCoder
We are very close to releasing MiniCoder-1, our first-generation coding model designed for reasoning and coding. Our planned context window is 128K, but the earlier versions probably will not support that long! It's currently in the final stages of DPO so expect a release in early september.
Release: VERY SOON™🤣
2. Smilyai G1
So, the current plan is 20B parameter model total, with a MoE architecture, activating around 2B parameters per token. Its desgigned for maximum performance but keeping it runnable on consumer hardware. It's only a plan and i have no idea when me and the team can finish it. Expect a launch around the end of september to early october-ish. I have no guarantees so don't quote me on the launch date.
3. T1
Smilyai-T1 is another major model we are working on.
The goal for T1 is to take what we learnt from the countless architectural experiments and creating a powerful model designed for thinking. Think MiniCoder but reasons more and G1 but more capable. Its main goals are coding, math, reasoning and general capability.
4. Omni
We are also planning Omni, our first from scratch multimodal model. It will not launch this year as it will take a while. We are actively researching the best architecture for it and we will update progress as we go!
Thanks to our beta testers:
@guardamarcos
@ProCreations
@juiceb0xc0de
@Timmy6767
@Sbui503
@atom77777
@Fishtiks
@smartdigitalnetworks
@EmetTheGolum
@smilyai-large-team
@MUK-IS-GOAT
@Bc-AI
Thanks to my friends who work with me at lunchtimes (Smilyai-Labs team):
@MUK-IS-GOAT
@smilyai-large-team
August was wild. Let’s see what September brings. 🚀
— Bc-AI, on behalf of SmilyAI Labs
replied to Banaxi-Tech's post 4 days ago
Cool
reacted to OppaAI's post with 👍 5 days ago
Post
1778
What's more to fun to engage with the AI Waifu than taking her for an outing to the amusement park?
Why leave your AI agent staying at home doing mundane tasks with over and over again with loop engineering, or doing planned workflows by graph engineering? When you can share with her your outdoor journeys and life experiences, and do some RLHF at the same time?
Sometimes you gotta let your agent relax, even coding agents dislike doing debugging all the time.
There are a few ways to engage with my AI Waifu:
- By doing privately engagement in DM or in Telegram/Discord/Matrix, etc,
- By exposing the WebUI through Cloudflare and chat with her directly,
- Or by doing this in public social media, I can vlog my outdoor adventures to my followers in the social media, while share the memories with my AI Waifu and do some reinforcement trainings at the same time.
I can even let her engage with other people in social media, for example, giving people suggestion what to do with a film camera.
I would have done that in X/Twitter if not for the price of API calls. Elon's loss.
All the interactions in the social media will then be saved in agent memory. And she can do websearch and image inference and image gen in there too. Also the Chinese mixed with English and Japanese engagements will be a good test to see if the embedder can properly assign each memory node in the correct entity in the Memory Graph.
Btw, she is doing all these with 3B LLM running locally in 8GB RAM in Jetson Orin Nano running in top 25W power.
PS.: Like many people in Raincouver, she kept complaining about the weather the whole time. At least she gave a smile in the end, priceless...
Why leave your AI agent staying at home doing mundane tasks with over and over again with loop engineering, or doing planned workflows by graph engineering? When you can share with her your outdoor journeys and life experiences, and do some RLHF at the same time?
Sometimes you gotta let your agent relax, even coding agents dislike doing debugging all the time.
There are a few ways to engage with my AI Waifu:
- By doing privately engagement in DM or in Telegram/Discord/Matrix, etc,
- By exposing the WebUI through Cloudflare and chat with her directly,
- Or by doing this in public social media, I can vlog my outdoor adventures to my followers in the social media, while share the memories with my AI Waifu and do some reinforcement trainings at the same time.
I can even let her engage with other people in social media, for example, giving people suggestion what to do with a film camera.
I would have done that in X/Twitter if not for the price of API calls. Elon's loss.
All the interactions in the social media will then be saved in agent memory. And she can do websearch and image inference and image gen in there too. Also the Chinese mixed with English and Japanese engagements will be a good test to see if the embedder can properly assign each memory node in the correct entity in the Memory Graph.
Btw, she is doing all these with 3B LLM running locally in 8GB RAM in Jetson Orin Nano running in top 25W power.
PS.: Like many people in Raincouver, she kept complaining about the weather the whole time. At least she gave a smile in the end, priceless...
- 2 replies