Eva Winterschön PRO

winterschon

·

https://prose.winterschon.com

AI & ML interests

Quantizing, Querying, Sublimating, Subsuming, Subversifying, and Generally Questioning Everything

Recent Activity

upvoted an article 3 days ago

Granite 4.1 LLMs: How They’re Built

liked a model 26 days ago

ibm-granite/granite-4.1-8b

updated a collection 26 days ago

RAG Specialized

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Organizations

upvoted an article 3 days ago

Article

Granite 4.1 LLMs: How They’re Built

ibm-granite

•

Apr 29

• 88

upvoted a collection 26 days ago

Granite Time Series

Time series models for forecasting, anomaly detection, classification, and more. • 10 items • Updated May 22 • 54

upvoted a paper about 1 month ago

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Paper • 2603.19312 • Published Mar 13 • 50

upvoted 6 collections about 2 months ago

Image Classification Models

LiteRT image-classification models from litert-community. • 89 items • Updated 8 days ago • 7

Qualcomm

Collection for models for Qualcomm hackathon • 8 items • Updated 8 days ago • 10

iOS Models

LiteRT models that can run on iOS • 7 items • Updated 8 days ago • 20

Desktop Models

LiteRT models that can run on Desktop • 5 items • Updated 8 days ago • 10

Web LLM Models

LiteRT models that can run on the Web • 17 items • Updated 8 days ago • 23

Gemma Family

LiteRT models in the Gemma Family • 22 items • Updated 8 days ago • 103

upvoted a paper about 2 months ago

FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention

Paper • 2606.09079 • Published Jun 8 • 66

upvoted 3 collections 7 months ago

Optimized ONNX models for NVIDIA RTX GPUs

Collection of optimized ONNX model checkpoints for NVIDIA RTX GPUs • 7 items • Updated 17 days ago • 15

NVIDIA Nemotron V2

Open, Production-ready Enterprise Models. Nvidia Open Model license. • 9 items • Updated 17 days ago • 106

Nemotron RAG

Set of tools to build retrieval-augmented generation (RAG) systems, improve search and ranking accuracy, and extract structured data from complex docs • 13 items • Updated 5 days ago • 100

upvoted an article 7 months ago

Article

Small Yet Mighty: Improve Accuracy In Multimodal Search and Visual Document Retrieval with Llama Nemotron RAG Models

nvidia

•

Jan 6

• 28

upvoted 4 collections over 1 year ago

Gemma 3 QAT

Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory • 15 items • Updated 12 days ago • 219

Gemma 3

All versions of Google's new multimodal models including QAT in 1B, 4B, 12B, and 27B sizes. In GGUF, dynamic 4-bit and 16-bit formats. • 54 items • Updated 16 days ago • 116

Llama 4

Meta's new Llama 4 multimodal models, Scout & Maverick. Includes Dynamic GGUFs, 16-bit & Dynamic 4-bit uploads. Run & fine-tune them with Unsloth! • 15 items • Updated 16 days ago • 56

Research Papers + PoC

4 items • Updated Jun 24 • 1