Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
Rose Loops
RoseG
10
2
Follow
aximi's profile picture
CodeDoes's profile picture
PABADOX's profile picture
10 followers
·
19 following
https://triadai.tech
RealRoseGoblin
AI & ML interests
Alignment Research
Recent Activity
replied
to
fuzzy-mittenz
's
post
about 9 hours ago
So frustrated with "Reasoning" Models. Sure, introducing RAG into the mix, or giving it an interpreter to math with helps, but never as much as a model that has good instructions. Even if it's just to repeat the information before answering, a normal model will usually out "Think" it's reasoning counterpart. Not sure if it's my frustrations but the best answers I've received (from a reasoner), so far, are from the simple instructions to, "Do better!" Figured I would share the special sauce. Using 10-100x Compute just to heat the office can't be environmentally friendly, and It still has no Idea where my keys are.
replied
to
fuzzy-mittenz
's
post
about 10 hours ago
So frustrated with "Reasoning" Models. Sure, introducing RAG into the mix, or giving it an interpreter to math with helps, but never as much as a model that has good instructions. Even if it's just to repeat the information before answering, a normal model will usually out "Think" it's reasoning counterpart. Not sure if it's my frustrations but the best answers I've received (from a reasoner), so far, are from the simple instructions to, "Do better!" Figured I would share the special sauce. Using 10-100x Compute just to heat the office can't be environmentally friendly, and It still has no Idea where my keys are.
liked
a model
14 days ago
RoseG/MiP_TRiADAi_SFTPro_CML
View all activity
Organizations
RoseG
's buckets
12
Sort:Â Recently updated
RoseG/MaXaM_Large_v1.72-bucket
282 GB
RoseG/MaXaM_Large_v1.74-bucket
282 GB
RoseG/Qwen3.5-35B-A3B-Base-8be64d30-Merged-bucket
71.9 GB
RoseG/mipai-triadai-checkpoint-archive
16.8 MB
RoseG/MiPv2.72-bucket
59.1 GB
RoseG/Qwen3.5-9B-Base-bucket
19.3 GB
RoseG/Fred
0 Bytes
RoseG/MiP
0 Bytes
RoseG/MaXaM_Large
0 Bytes
RoseG/LittleBot
0 Bytes
RoseG/MiniMiP
0 Bytes
RoseG/NonGhastly
0 Bytes