Not impacted with anthropic cutting subs from claws. If you have been using your agents regularly, using anthropic 100% was never a sustainable option as it was clearly $200++ bill a month, so I have been using locally hosted Qwen3.5 with other options. No complaints. Kimi2.5 has https://t.co/53quTIemdT
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 4, 2026
Author: Abhay Page 6 of 88
OSS models are closing the gap, and with GGUF, NVFP and MXL, local inference is gaining wider adoption. Frontier models will still be the apple of the industry https://t.co/uH662icIlC
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
BitTorrent meets Napster for LLM inferencing
https://t.co/bgFnO1s870— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
RT @hqmank: If you’re using Claude Code, this is worth knowing.
Instead of worrying about whether Opus 4.6 or GPT 5.4 is better, it’s more…
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
@ivanfioravanti Running GLM 5.1 and M2.7 via Ollama Claude code? Global settings won’t work right for 3 separate configs?
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 30, 2026
Implementation of Google’s TurboQuant (ICLR 2026) — KV cache compression for local LLM inference, with planned extensions beyond the paper https://t.co/raO8puxH9B
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 30, 2026
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar https://t.co/ekUuDIqPEI
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 28, 2026