Running
45
π
Manimator
Transform research papers and mathematical concepts into stu
Kacper GΕombiewski
Clausss
AI & ML interests
None yet
Recent Activity
liked
a Space
1 day ago
HyperCluster/manimator
Organizations
None yet
Clausss's activity
liked
a
Space
1 day ago
reacted to
Spintron's
post with π₯
10 days ago
Post
1457
Fundamental question. What is the process for sharing an image I have created? Thanks.
- 1 reply
reacted to
nyuuzyou's
post with π₯
11 days ago
Post
2507
CS2 Highlights Video Dataset -
nyuuzyou/cs2-highlights
A collection of 4,857 high-quality Counter-Strike 2 gameplay highlights featuring:
- Professional and competitive gameplay recordings at 1080p resolution
- Complete metadata including Steam IDs and clip titles
- Preview thumbnails for all videos
- Both 60 FPS (842 clips) and 120 FPS (4,015 clips) content
- Gameplay from Faceit and official competitive modes
This extensive highlights collection provides a valuable resource for developing and evaluating video-based AI applications, especially in esports and competitive gaming contexts. Released under Creative Commons Zero (CC0) license.
A collection of 4,857 high-quality Counter-Strike 2 gameplay highlights featuring:
- Professional and competitive gameplay recordings at 1080p resolution
- Complete metadata including Steam IDs and clip titles
- Preview thumbnails for all videos
- Both 60 FPS (842 clips) and 120 FPS (4,015 clips) content
- Gameplay from Faceit and official competitive modes
This extensive highlights collection provides a valuable resource for developing and evaluating video-based AI applications, especially in esports and competitive gaming contexts. Released under Creative Commons Zero (CC0) license.
liked
a
Space
12 days ago
liked
a
Space
16 days ago
reacted to
csabakecskemeti's
post with π
24 days ago
Post
4497
The AMD Instinct MI50 (~$110) is surprisingly fast for inference Quantized models.
This runs a Llama 3.1 8B Q8 with Llama.cpp
https://huggingface.co/spaces/DevQuasar/Mi50
A little blogpost about the HW
http://devquasar.com/uncategorized/amd-radeon-instinct-mi50-cheap-inference/
This runs a Llama 3.1 8B Q8 with Llama.cpp
https://huggingface.co/spaces/DevQuasar/Mi50
A little blogpost about the HW
http://devquasar.com/uncategorized/amd-radeon-instinct-mi50-cheap-inference/
liked
a
Space
24 days ago
upvoted
an
article
28 days ago
Article
Introducing GGUF-my-LoRA
By
β’
β’
12
liked
a
Space
about 1 month ago
replied to
nroggendorff's
post
about 1 month ago
so what happen if storage beyond limit?
reacted to
mikelabs's
post with π₯
about 1 month ago
Post
1597
SAM: I can segment anything!
SAMURAI: Hold my sake while I track it through time and space without even training π―
Researchers really said what if we gave SAM object permanence and it worked π€―
https://www.aimodels.fyi/papers/arxiv/samurai-adapting-segment-anything-model-zero-shot
SAMURAI: Hold my sake while I track it through time and space without even training π―
Researchers really said what if we gave SAM object permanence and it worked π€―
https://www.aimodels.fyi/papers/arxiv/samurai-adapting-segment-anything-model-zero-shot
- 2 replies
Upload 81 files
1
#8 opened about 2 months ago
by
Jorge-Ali
reacted to
fdaudens's
post with β€οΈ
about 2 months ago
Post
1887
π¦ Hug the butterfly! You can now add your Bluesky handle to your Hugging Face profile! β¨
Update app.py
1
#7 opened about 2 months ago
by
yesirecarolinasoto
reacted to
etemiz's
post with π₯
about 2 months ago
Post
970
if I host in hf spaces, can I interact with the app using an API?
- 1 reply
Error quantizing: b'/bin/sh: 1: ./llama.cpp/llama-quantize: not found\n'
6
#136 opened about 2 months ago
by
win10
reacted to
m-ric's
post with π
about 2 months ago
Post
2372
A non-Instruct LLM assistant is mostly useless. π§
Since it's mostly a model trained to complete text, when you ask it a question like "What to do during a stopover in Paris?", it can just go on and on adding more details to your question instead of answering, which would be valid to complete text from its training corpus, but not to answer questions.
β‘οΈ So the post-training stage includes an important Instruction tuning step where you teach your model how to be useful : answer questions, be concise, be polite... RLHF is a well known technique for this.
For people interested to understand how this step works, the folks at Adaptive ML have made a great guide!
Read it here π https://www.adaptive-ml.com/post/from-zero-to-ppo
Since it's mostly a model trained to complete text, when you ask it a question like "What to do during a stopover in Paris?", it can just go on and on adding more details to your question instead of answering, which would be valid to complete text from its training corpus, but not to answer questions.
β‘οΈ So the post-training stage includes an important Instruction tuning step where you teach your model how to be useful : answer questions, be concise, be polite... RLHF is a well known technique for this.
For people interested to understand how this step works, the folks at Adaptive ML have made a great guide!
Read it here π https://www.adaptive-ml.com/post/from-zero-to-ppo