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Real-time volatility & momentum intel for 1,500+ cryptos
Buba
heisbuba
AI & ML interests
Software Engineer | Writer | Topics of Interest (Crypto Trading & AI)
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updated a Space about 3 hours ago
heisbuba/coinsentry liked a dataset 28 days ago
CodeDevX/Vibe-Coding-Instruct updated a Space 3 months ago
heisbuba/quantvatOrganizations
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updated a
Space about 3 hours ago
liked a
dataset 28 days ago
updated a
Space 3 months ago
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π 6
4
#109 opened 3 months ago
by 
chenzihong
liked a
Space 4 months ago
Create requirements.txt
#1 opened 4 months ago
by heisbuba
published a
Space 4 months ago
replied to danielhanchen's post 4 months ago
this is really a game changer in the arena of independent ai.
reacted to danielhanchen's post with π₯ 4 months ago
Post
5581
You can now fine-tune Gemma 4 for free with our notebooks! π₯
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
- 5 replies
updated a
Space 5 months ago
published a
Space 5 months ago
reacted to Tonic's post with π₯ 5 months ago
Post
3489
ππ»ββοΈhello my lovelies ,
it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.
repo : Tonic/hugging-claw (use git clone to inspect)
literally the one-click link : Tonic/hugging-claw
you can also run it locally and see for yourself :
docker run -it -p 7860:7860 --platform=linux/amd64 \
-e HF_TOKEN="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \
-e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \
registry.hf.space/tonic-hugging-claw:latest
just a few quite minor details i'll take care of but i wanted to share here first
it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.
repo : Tonic/hugging-claw (use git clone to inspect)
literally the one-click link : Tonic/hugging-claw
you can also run it locally and see for yourself :
docker run -it -p 7860:7860 --platform=linux/amd64 \
-e HF_TOKEN="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \
-e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \
registry.hf.space/tonic-hugging-claw:latest
just a few quite minor details i'll take care of but i wanted to share here first
- 2 replies
liked a
Space 6 months ago
reacted to imnotkitty's post with π₯ 6 months ago
Post
2215
πJust published a first-look at tencent/HunyuanImage-3.0-Instruct
Tested its multi-image fusion and single-reference consistency. The results on complex prompts are quite impressive.
Whatβs the most creative image task youβd give it?
π Read the full analysis: https://huggingface.co/blog/imnotkitty/tencent-hy-image-v30-i2i
Tested its multi-image fusion and single-reference consistency. The results on complex prompts are quite impressive.
Whatβs the most creative image task youβd give it?
π Read the full analysis: https://huggingface.co/blog/imnotkitty/tencent-hy-image-v30-i2i
- 8 replies
liked a
Space 6 months ago
liked a
dataset 7 months ago
updated 2
Spaces 7 months ago