🏗️ Building on HF

Dipankar Sarkar PRO

dipankarsarkar

3 210 11

https://www.dipankar.cc

AI & ML interests

Building the AI-native stack. Agents as infrastructure, safety as architecture, performance as plumbing. I publish the receipts: papers, datasets, demos.

Recent Activity

upvoted a paper 2 minutes ago

Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing

repliedto DavidAU's post 2 minutes ago

Qwen 3.6 27B Fine tune exceed 700 ARC-C for both 8 and 4 bit. A new level of uncensored performance the puts this model squarely at "closed source" level of intelligence. Model exceeds all critical benchmarks for both Qwen 3.6 27B AND Qwen 3.6 35B-A3B... and not by a little either. Neo Imatrix MAX ggufs in both regular and MTP quants. Benchmarks for Qwen 3.6 27B org and tuned, as well as Qwen 3.6 35B-A3B are up at the repo. https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

upvoted a paper about 1 hour ago

Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training

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