Monster-Code/Merlin-9M
Text Generation • Updated • 1
😀 ¯\_( ͡° ͜ʖ ͡°)_/¯
OpenEngineer
Monster-Code
AI & ML interests
Training models
Recent Activity
liked a model 41 minutes ago
Monster-Code/Merlin-9M updated a model about 1 hour ago
Monster-Code/Merlin-9M updated a model about 18 hours ago
Monster-Code/Jalapeno-ASR-previewOrganizations
liked a
model 41 minutes ago
updated a
model about 1 hour ago
updated a
model about 18 hours ago
updated a
dataset about 18 hours ago
published a
model about 18 hours ago
liked a
model 2 days ago
reacted to Banaxi-Tech's post with 🔥 2 days ago
Post
6,071
BananaMind 3 is coming.
Biggest context in all SLMs with NSA.
10M, 50M, 150M, 400M.
And maybe, 1B.
Biggest context in all SLMs with NSA.
10M, 50M, 150M, 400M.
And maybe, 1B.
- 14 replies
upvoted a paper 2 days ago
liked a
model 2 days ago
liked a
Space 4 days ago
liked a
model 4 days ago
published a
model 4 days ago
liked 3
models 4 days ago
upvoted an article 5 days ago
Article
Decision Models in Hugging Face
- +2
ariG23498, lysandre, pcuenq, tomaarsen
• • 94 liked a
model 5 days ago
liked a
Space 5 days ago
liked a
dataset 5 days ago
reacted to mlboydaisuke's post with 🔥 5 days ago
Post
4,791
Turn one photo into a 3D object you can spin around, sides and back included, entirely on your phone.
On a Galaxy S26, Idol (speridlabs) on LiteRT now makes a splat of 65,536 Gaussians in 158 s with its new default form, or of 262,144 Gaussians in 267 s with the first release's form, which stays in the repo (the first photo after start, on a cool phone). Checked against the author's PyTorch pipeline, renders from four sides agree at a PSNR of 32.3–34.4 dB for the default and 41.4–46.6 dB for the larger form.
Graphs, a Python runner and an Android sample: litert-community/Idol
On a Galaxy S26, Idol (speridlabs) on LiteRT now makes a splat of 65,536 Gaussians in 158 s with its new default form, or of 262,144 Gaussians in 267 s with the first release's form, which stays in the repo (the first photo after start, on a cool phone). Checked against the author's PyTorch pipeline, renders from four sides agree at a PSNR of 32.3–34.4 dB for the default and 41.4–46.6 dB for the larger form.
Graphs, a Python runner and an Android sample: litert-community/Idol
- 4 replies