Inflammable1230

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liked a Space about 9 hours ago

Running

Agents

4

GLM 5.3 Flash

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4

Chat with GLM-5.3 Flash model

liked 3 models about 9 hours ago

facebook/MobileMoE-S-SFT

Text Generation • 1B • Updated about 8 hours ago • 2

facebook/MobileMoE-M-SFT

Text Generation • 3B • Updated about 8 hours ago • 1

facebook/MobileMoE-L-SFT

Text Generation • 5B • Updated about 8 hours ago • 1

liked 2 models 1 day ago

zai-org/GLM-5.3-Flash

Text Generation • 321B • Updated about 18 hours ago • 34 • • 1.35k

unsloth/GLM-5.3-Flash

Text Generation • 321B • Updated 1 day ago • 15

liked a model 2 days ago

Qwen/Qwen3.8-Flash-Next

Image-Text-to-Text • 180B • Updated about 24 hours ago • 4.81k • 3.99k

liked a model 3 days ago

facebook/MobileMoE-L-Base

Text Generation • 5B • Updated 2 days 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 • 11 items • Updated about 2 hours ago • 6

liked a model 3 days ago

facebook/MobileMoE-S-Base

Text Generation • 1B • Updated 2 days ago • 66 • 6

upvoted a paper 5 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 1 day ago • 54

liked a model 8 days ago

unsloth/Qwen3.8-27B-GGUF

27B • Updated 8 days ago • 7.76M • 3.09k

liked 3 models 12 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

webAI-Official/TwIL-LM3

Text Generation • 3B • Updated 14 days ago • 179k • 79

liked 2 models 13 days ago

unsloth/LFM2.5-8B-A1B-GGUF

Text Generation • 8B • Updated 23 days ago • 25.4k • 102

YatharthS/CoalaEmbedding

Updated 13 days ago • 3

reacted to YatharthS's post with 🚀 13 days ago

view post

Post

3423

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

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