Eva Winterschön PRO

winterschon

·

https://prose.winterschon.com

AI & ML interests

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

Recent Activity

updated a collection 2 days ago

liked a model 2 days ago

OBLITERATUS/gemma-4-E4B-it-OBLITERATED

upvoted an article 2 months ago

Granite 4.1 LLMs: How They’re Built

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Organizations

upvoted an article 2 months ago

Article

Granite 4.1 LLMs: How They’re Built

ibm-granite

•

Apr 29

• 93

upvoted a collection 3 months ago

Granite Time Series

Time series models for forecasting, anomaly detection, classification, and more. • 12 items • Updated 10 days ago • 57

upvoted a paper 3 months ago

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

Paper • 2603.19312 • Published Mar 13 • 55

upvoted 6 collections 4 months ago

Image Classification Models

LiteRT image-classification models from litert-community. • 89 items • Updated Jul 26 • 8

Qualcomm

Collection for models for Qualcomm hackathon • 8 items • Updated Jul 26 • 10

iOS Models

LiteRT models that can run on iOS • 7 items • Updated Jul 26 • 22

Desktop Models

LiteRT models that can run on Desktop • 5 items • Updated Jul 26 • 10

Web LLM Models

LiteRT models that can run on the Web • 17 items • Updated Jul 26 • 25

Gemma Family

LiteRT models in the Gemma Family • 22 items • Updated Jul 26 • 108

upvoted a paper 4 months ago

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

Paper • 2606.09079 • Published Jun 8 • 69

upvoted 3 collections 9 months ago

Optimized ONNX models for NVIDIA RTX GPUs

Collection of optimized ONNX model checkpoints for NVIDIA RTX GPUs • 7 items • Updated Aug 11 • 15

NVIDIA Nemotron V2

Open, Production-ready Enterprise Models. Nvidia Open Model license. • 9 items • Updated Aug 11 • 108

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 Aug 11 • 108

upvoted an article 9 months ago

Article

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

nvidia

•

Jan 6

• 31

upvoted 3 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 Jul 21 • 218

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 Aug 26 • 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 Aug 26 • 56

upvoted a collection almost 2 years ago

Research Papers + PoC

4 items • Updated Jun 24 • 1