ProCreations/Intellite-Chat
Text Generation
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Pro Creations PRO
ProCreations
AI & ML interests
AGI and small scale-high quality AI
Recent Activity
updated
a model
about 8 hours ago
ProCreations/Intellite-Chat
upvoted
a
paper
about 20 hours ago
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU
Inference via Dynamic-Length Float
posted
an
update
1 day ago
Another day, another day-taset.
Come check out my new dataset "SimpleMath"! Designed to help small models get simple math almost always right, instead of complex math almost always wrong.
https://huggingface.co/datasets/ProCreations/SimpleMath
Also useful for introducing math slowly to LLM's. Instead of jumping into the complex stuff headfirst, it can slowly learn it better by starting easy and going hard.
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ProCreations's activity
updated
a
model
about 8 hours ago
upvoted
a
paper
about 20 hours ago
posted
an
update
1 day ago
Post
371
Another day, another day-taset.
Come check out my new dataset "SimpleMath"! Designed to help small models get simple math almost always right, instead of complex math almost always wrong.
ProCreations/SimpleMath
Also useful for introducing math slowly to LLM's. Instead of jumping into the complex stuff headfirst, it can slowly learn it better by starting easy and going hard.
Come check out my new dataset "SimpleMath"! Designed to help small models get simple math almost always right, instead of complex math almost always wrong.
ProCreations/SimpleMath
Also useful for introducing math slowly to LLM's. Instead of jumping into the complex stuff headfirst, it can slowly learn it better by starting easy and going hard.
updated
a
dataset
1 day ago
published
a
dataset
1 day ago
reacted to
shekkizh's
post with ❤️
1 day ago
Post
1761
Think AGI is just around the corner? Not so fast.
When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it?
Spoiler: Wordle turned out to be a surprisingly effective benchmark.
So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs.
🔑 Takeaways
1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks.
2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents.
3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉
🔗 Read our arxiv article for more details https://www.arxiv.org/abs/2504.15434
When OpenAI released its Computer-Using Agent (CUA) API, I happened to be playing Wordle 🧩 and thought, why not see how the model handles it?
Spoiler: Wordle turned out to be a surprisingly effective benchmark.
So Romain Cosentino Ph.D. and I dug in and analyzed the results of several hundred runs.
🔑 Takeaways
1️⃣ Even the best computer-using models struggle with simple, context-dependent tasks.
2️⃣ Visual perception and reasoning remain major hurdles for multimodal agents.
3️⃣ Real-world use cases reveal significant gaps between hype and reality. Perception accuracy drops to near zero by the last turn 📉
🔗 Read our arxiv article for more details https://www.arxiv.org/abs/2504.15434
- 1 reply
posted
an
update
2 days ago
Post
2039
Come check out my new dataset Mistake to Meaning as an attempt to help smaller models understand user typos better! Hope you guys enjoy it
ProCreations/Mistake-To-Meaning
ProCreations/Mistake-To-Meaning
updated
a
dataset
2 days ago
published
a
dataset
2 days ago
posted
an
update
3 days ago
Post
1338
🤖 IntellIte‑Chat v1.0 (Coming Soon)
A compact chat model built for speed, efficiency, and simplicity.
IntellIte‑Chat v1.0 is the debut model in the IntellIte series—a lightweight conversational transformer crafted to be fast, memory-efficient, and easy to work with. It’s designed for devs and enthusiasts who want sharp results without huge resource demands.
No fluff. Just chats.
⸻
🎯 Target Specs
• Pretraining Tokens: 4 billion
• Context Length: 16,384 tokens
⸻
🧠 Parameters & Architecture
• Model Size: ~100M parameters
• Architecture: Modified GPT-NeoX
• Focus: Chat performance with low latency and efficient memory use
⸻
🧃 Support the Build
Every dollar you donate is an extra amount of VRAM I get to work with. 😅
This project is fully independent and entirely self-funded. If you want to help bring it to life:
👉 https://buymeacoffee.com/procreations
⸻
💛 Early Supporters
All early supporters will be credited here when the model launches.
Even the smallest support means the world and pushes this project forward.
Special thanks to:
Maybe you?
⸻
🛠️ Development Status
• Architecture Design: Completed ✅
• Dataset Planning: Completed ✅
• Training Code: Near Completion 🛠️
• Training Launch: Starting Soon ⏳
• Evaluation Setup: Coming soon 🔜
• Final Release: Coming soon 🔜
⸻
Built to chat. Built on a budget. Built to prove what small models can do.
A compact chat model built for speed, efficiency, and simplicity.
IntellIte‑Chat v1.0 is the debut model in the IntellIte series—a lightweight conversational transformer crafted to be fast, memory-efficient, and easy to work with. It’s designed for devs and enthusiasts who want sharp results without huge resource demands.
No fluff. Just chats.
⸻
🎯 Target Specs
• Pretraining Tokens: 4 billion
• Context Length: 16,384 tokens
⸻
🧠 Parameters & Architecture
• Model Size: ~100M parameters
• Architecture: Modified GPT-NeoX
• Focus: Chat performance with low latency and efficient memory use
⸻
🧃 Support the Build
Every dollar you donate is an extra amount of VRAM I get to work with. 😅
This project is fully independent and entirely self-funded. If you want to help bring it to life:
👉 https://buymeacoffee.com/procreations
⸻
💛 Early Supporters
All early supporters will be credited here when the model launches.
Even the smallest support means the world and pushes this project forward.
Special thanks to:
Maybe you?
⸻
🛠️ Development Status
• Architecture Design: Completed ✅
• Dataset Planning: Completed ✅
• Training Code: Near Completion 🛠️
• Training Launch: Starting Soon ⏳
• Evaluation Setup: Coming soon 🔜
• Final Release: Coming soon 🔜
⸻
Built to chat. Built on a budget. Built to prove what small models can do.
posted
an
update
5 days ago
Post
308
Intellite chat, a new up and coming small-efficient English-chat based AI model is coming soon! Based off of the GPT 2 tokenizer it will crush any chat (for a model its size).
published
a
model
7 days ago
upvoted
a
collection
7 days ago
updated
a
collection
7 days ago
upvoted
a
collection
9 days ago
updated
a
collection
9 days ago
published
a
model
11 days ago
updated
2
models
22 days ago