Inflammable1230

24 457

AI & ML interests

Edge AI enthusiast, 16GB CPU, Falcon H1 90M = favorite SLM.

Recent Activity

liked a model about 18 hours ago

zai-org/GLM-5.3-Flash

liked a model about 18 hours ago

unsloth/GLM-5.3-Flash

liked a model 1 day ago

Qwen/Qwen3.8-Flash-Next

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liked 2 models about 18 hours ago

zai-org/GLM-5.3-Flash

Text Generation • 321B • Updated about 2 hours ago • 34 • • 1.19k

unsloth/GLM-5.3-Flash

Text Generation • 321B • Updated about 23 hours ago • 14

liked a model 1 day ago

Qwen/Qwen3.8-Flash-Next

Image-Text-to-Text • 180B • Updated about 8 hours ago • 4.81k • 3.84k

liked a model 3 days ago

facebook/MobileMoE-L-Base

Text Generation • 5B • Updated 1 day ago • 46 • 7

upvoted a collection 3 days ago

MobileMoE

Collection

a family of on-device MoE language models with sub-billion active parameters (0.3-0.9B active and 1.3-5.3B total) that establish a new Pareto frontier • 10 items • Updated 2 days ago • 5

liked a model 3 days ago

facebook/MobileMoE-S-Base

Text Generation • 1B • Updated 1 day ago • 66 • 6

upvoted a paper 4 days ago

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

Paper • 2608.16887 • Published 11 days ago • 33

liked a model 8 days ago

FastVideo/FastMetal-1.3B-QAD

Text-to-Video • Updated 2 days ago • 3

upvoted a collection 8 days ago

Unsloth Dynamic 3.0 Quants

Collection

Introducing Dynamic V3.0 quants, our new SOTA quantization methodology. • 1 item • Updated about 21 hours ago • 51

liked a model 8 days ago

unsloth/Qwen3.8-27B-GGUF

27B • Updated 7 days ago • 7.76M • 3.04k

liked 2 models 11 days ago

deepgrove/maple-preview

Text Generation • 20B • Updated 23 days ago • 7.26k • 379

deepgrove/maple-preview-GGUF

Text Generation • 20B • Updated 13 days ago • 441k • 59

liked 3 models 12 days ago

reacted to YatharthS's post with 🚀 12 days ago

Post

3419

Open sourcing Coala Embeddings! It can compress 20 million documents which can take 80gb ram down to just 1gb RAM.

Why is this important? Embeddings are used everywhere(RAG, semantic search, etc.) by many.

Coala Embeddings massively cheapen cost to host them while being simply and easy to use.

GitHub: https://github.com/ysharma3501/CoalaEmbeddings
Notebook Demo: https://colab.research.google.com/drive/1TXip-vZg72e_2AB185MINufVVav8Oo9T?usp=sharing