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
DaisyChainAI
/
DaisyChain-Train
Like
6
Follow
DaisyChainAI
16
distributed-training
old-hardware
int8
webgpu
webrtc
License:
mit
Model card
Files
Files and versions
xet
Community
Copy to bucket
new
main
DaisyChain-Train
/
daisychain
/
dashboard
15 kB
Ctrl+K
Ctrl+K
1 contributor
History:
2 commits
Quazim0t0
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September
99509b7
verified
about 2 hours ago
__init__.py
Safe
0 Bytes
Old-hardware training through emulated GPU logic
3 months ago
agent.py
3.4 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September
about 2 hours ago
scanner.py
Safe
3.29 kB
Old-hardware training through emulated GPU logic
3 months ago
server.py
8.29 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September
about 2 hours ago
