mradermacher/FuseO1-DeepSeekR1-QwQ-SkyT1-Flash-32B-Preview-i1-GGUF
Updated
•
868
•
1
t1u1
t1u1
AI & ML interests
None yet
Recent Activity
liked
a model
about 9 hours ago
mradermacher/FuseO1-DeepSeekR1-QwQ-SkyT1-Flash-32B-Preview-i1-GGUF
liked
a model
1 day ago
sm54/FuseO1-DeepSeekR1-QwQ-SkyT1-Flash-32B-Preview-Q4_K_M-GGUF
upvoted
an
article
2 days ago
FuseO1-Preview: System-II Reasoning Fusion of LLMs
Organizations
None yet
t1u1's activity
liked
a
model
about 9 hours ago
liked
a
model
1 day ago
upvoted
an
article
2 days ago
Article
FuseO1-Preview: System-II Reasoning Fusion of LLMs
By
•
•
9
upvoted
a
paper
4 days ago
Can you please create weighted/imatrix quant versions?
#1 opened 5 days ago
by
t1u1
liked
a
model
8 days ago
upvoted
a
paper
16 days ago
liked
a
Space
4 months ago
reacted to
cbensimon's
post with 🚀
4 months ago
Post
4411
Hello everybody,
We've rolled out a major update to ZeroGPU! All the Spaces are now running on it.
Major improvements:
1. GPU cold starts about twice as fast!
2. RAM usage reduced by two-thirds, allowing more effective resource usage, meaning more GPUs for the community!
3. ZeroGPU initializations (coldstarts) can now be tracked and displayed (use
4. Improved compatibility and PyTorch integration, increasing ZeroGPU compatible spaces without requiring any modifications!
Feel free to answer in the post if you have any questions
🤗 Best regards,
Charles
We've rolled out a major update to ZeroGPU! All the Spaces are now running on it.
Major improvements:
1. GPU cold starts about twice as fast!
2. RAM usage reduced by two-thirds, allowing more effective resource usage, meaning more GPUs for the community!
3. ZeroGPU initializations (coldstarts) can now be tracked and displayed (use
progress=gr.Progress(track_tqdm=True))4. Improved compatibility and PyTorch integration, increasing ZeroGPU compatible spaces without requiring any modifications!
Feel free to answer in the post if you have any questions
🤗 Best regards,
Charles
reacted to
KingNish's
post with 🔥
4 months ago
Post
3907
I am experimenting with Flux and trying to push it to its limits without training (as I am GPU-poor 😅).
I found some flaws in the pipelines, which I resolved, and now I am able to generate an approx similar quality image as Flux Schnell 4 steps in just 1 step.
Demo Link:
KingNish/Realtime-FLUX
I found some flaws in the pipelines, which I resolved, and now I am able to generate an approx similar quality image as Flux Schnell 4 steps in just 1 step.
Demo Link:
KingNish/Realtime-FLUX
- 1 reply
liked
2
Spaces
4 months ago
liked
a
Space
5 months ago
upvoted
2
papers
6 months ago
liked
3
models
6 months ago
liked
2
Spaces
6 months ago