Rinat D

Emerald7664

3 4

AI & ML interests

None yet

Recent Activity

liked a model about 15 hours ago

gbuzhf/KAT-Coder-V2.5-Dev-APEX-MTP-GGUF

liked a model 2 days ago

ManniX-ITA/gemma-4-A4B-98e-v7-coderx-it-GGUF

reacted to appvoid's post with 🔥 3 days ago

A Small Model is All You Need. Meet `palmer-006` (90M) After 3 years of experiments, we are finally releasing our flagship tiny model: **palmer-006**. If you are building for edge hardware, SBCs (Raspberry Pi, etc.), or low-power devices, this is for you. Inspired by Andrej Karpathy's idea of a self-contained "cognitive core," we wanted to see how much power we could pack into a sub-100M parameter footprint. 🧠 **How we "Palmerized" it:** We believe in starting our experiments with the absolute strongest baseline possible. 1. Light fine-tuning on highly curated data 2. Model merging 3. Another light fine-tuning round 4. Adjusted Mamba for maximum token speed ⚡️ ⚠️ *Note: This is a foundational language model. It has not been instruction-tuned yet!* Also, since this needs instruction tuning next to become a chat assistant—**what dataset would you recommend we use for the instruct tune?** --- 🔗 **Quick Links & Info:** * **License:** Open for research, education, hobby, and modification! (For commercial use/hosted APIs, shoot an email to nosoyhackercodigo@gmail.com. *PS: Donators can claim a free commercial license!*) * **Attribution:** Built using AI tech from the Technology Innovation Institute (TII). Can't wait to see what you build at the edge. Let me know your prompt completions below! 👇 https://huggingface.co/appvoid/palmer-006

View all activity

Organizations

liked a model about 15 hours ago

gbuzhf/KAT-Coder-V2.5-Dev-APEX-MTP-GGUF

Text Generation • 36B • Updated 2 days ago • 20.5k • 26

liked a model 2 days ago

ManniX-ITA/gemma-4-A4B-98e-v7-coderx-it-GGUF

20B • Updated 2 days ago • 20.8k • 3

reacted to appvoid's post with 🔥 3 days ago

Post

1368

A Small Model is All You Need. Meet palmer-006 (90M)

After 3 years of experiments, we are finally releasing our flagship tiny model: **palmer-006**.

If you are building for edge hardware, SBCs (Raspberry Pi, etc.), or low-power devices, this is for you. Inspired by Andrej Karpathy's idea of a self-contained "cognitive core," we wanted to see how much power we could pack into a sub-100M parameter footprint.

🧠 **How we "Palmerized" it:**
We believe in starting our experiments with the absolute strongest baseline possible.
1. Light fine-tuning on highly curated data
2. Model merging
3. Another light fine-tuning round
4. Adjusted Mamba for maximum token speed ⚡️

⚠️ *Note: This is a foundational language model. It has not been instruction-tuned yet!*

Also, since this needs instruction tuning next to become a chat assistant—**what dataset would you recommend we use for the instruct tune?**

---
🔗 **Quick Links & Info:**

* **License:** Open for research, education, hobby, and modification! (For commercial use/hosted APIs, shoot an email to nosoyhackercodigo@gmail.com. *PS: Donators can claim a free commercial license!*)

* **Attribution:** Built using AI tech from the Technology Innovation Institute (TII).

Can't wait to see what you build at the edge. Let me know your prompt completions below! 👇

appvoid/palmer-006

10 replies

updated a model 3 days ago

Emerald7664/Adg

Updated 3 days ago

published a model 3 days ago

Emerald7664/Adg

Updated 3 days ago

reacted to Nymbo's post with 🔥 6 days ago

Post

5404

Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)