Running a 1.5B-Parameter LLM Entirely On-Device for Mental Health — The NilaMind Architecture
How I built a mental health companion that never connects to the internet, and why the most important safety decisions have nothing to do with the AI.…
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llama-bench skipped FA on capable GPUs — b9437 corrects it
What flipped in b9437 Build b9437 , published on May 30, 2026 at 20:56 UTC , ships two targeted default-value corrections to llama-bench . Flash atten…
How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
Originally published at deepu.tech . In my release post for LlamaStash I made a claim I need to back up. The wrapper adds zero overhead vs running lla…
Benchmarking the Claude Agent SDK on a local LLM: Haiku and Sonnet tier performance
The Claude Agent SDK exposes three budget tiers ( haiku , sonnet , opus ) and reads its routing target from environment variables on every call. That …
Qwen 3.6 27B and 35B MTP vs Standard on 16GB GPU
I tested Speculative decoding (Multi-Token Prediction, MTP) performance in Qwen 3.6 27B and 35B on an RTX 4080 with 16 GB VRAM. For a broader view of …