[P] BitLens: Visual profiler for neural network quantization (Outlier ratio Omega, per-layer SQNR,MCU SRAM liveness, and 1-click torchao/ORT/TFLM config export)
Link to interactive Web Studio (no install needed): https://bit-lens-v1.vercel.app/ GitHub repository: https://github.com/raidodex/bit-lens When running Post-Training Quantization (PTQ) on vision models or transformers, a handful of layers with heavy-tailed activation distributions usually dominate…
Read the full story at r/deeplearning ↗
Timeline · 1 report
- 2026-10-19 22:08 · r/deeplearning
[P] BitLens: Visual profiler for neural network quantization (Outlier ratio Omega, per-layer SQNR,MCU SRAM liveness, and 1-click torchao/ORT/TFLM config export)
More stories
- MiniMax launches M3.1 Flash, confirming Space Bunny was an early build — Vercel Blog
- Introducing Clairic, a new System One class of extraction models — Cloudflare Blog — AI
- OpenAI Staffer Charged With Bugging Office Stays Jailed for Now — Bloomberg AI
- How HP Is Building an AI-Ready CDP with Databricks CustomerLake — Databricks Blog
- Structured outputs for Anthropic Claude models on Amazon Bedrock — AWS Machine Learning Blog
- Musk pledges 1 SpaceX share for every child in America — Axios AI+
- Developers can now access SageMaker Studio through the new AWS experience — AWS Machine Learning Blog
- Nscale, Anthropic in Talks for $45 Billion Cloud Computing Deal — Bloomberg AI
Get the daily brief of stories like this at 6:30 every morning →