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meta-llama/Llama-3.1-70B
Text Generation • 71B • Updated • 109k • 411 -
Qwen/Qwen3.5-35B-A3B
Image-Text-to-Text • 36B • Updated • 3.56M • • 1.37k -
deepseek-ai/DeepSeek-R1
Text Generation • 685B • Updated • 3.51M • • 13.2k -
mistralai/Mistral-Large-3-675B-Instruct-2512
Updated • 666 • 225
Croc-Prog-HF
Croc-Prog-HF
AI & ML interests
High-temperature Text-Generation("Creativity" of the model) and Etical AI Alignment.
Democratizing local inference: reducing hardware requirements. Against the oligopoly of huge and polluting LLMs.
Recent Activity
reacted to prithivMLmods's post with 🔥 about 16 hours ago
The demo for Image Detection (*Filter) based on SAM3 and Qwen-3.5 is now available on Hugging Face Spaces using Transformers inference, with multimodal reasoning for processed images, and it also supports video segmentation (mask), video segmentation (annotation), and image click segmentation.
🤗 Demo Space: https://huggingface.co/spaces/prithivMLmods/SAM3-Plus-Qwen3.5
🥽 SAM3: https://huggingface.co/facebook/sam3
🔗 Qwen-3.5: https://huggingface.co/Qwen/Qwen3.5-2B
To learn more, visit the app page or the respective model pages. reacted to danielhanchen's post with 🔥 about 16 hours ago
You can now fine-tune Gemma 4 for free with our notebooks! 🔥
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
reacted to prithivMLmods's post with 🔥 about 16 hours ago
Now, a collection of various compression schemes for Gemma 4 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. 👇
🔗Gemma 4 Compression(s)- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions
🔗Gemma 4 Uncensored [MAX] + Compression(s) - [`β ]- https://huggingface.co/collections/prithivMLmods/gemma-4-uncensored-max-compressions
🔗Gemma 4 Compression(s) - MoE- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions-moe
🔗Gemma-4 F32 GGUF- https://huggingface.co/collections/prithivMLmods/gemma-4-f32-gguf
🤗 > To learn more, visit the app page or the respective model pages.Organizations
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