A 27B 1-bit model reportedly runs on an RTX 3060 Ti 8GB with 128K context
max_paperclips · x · 2026-07-21
- A post claims a 27B model at 1-bit can run on a used RTX 3060 Ti 8GB with 128K context loaded, using about 6.8/8 GB VRAM.
- It says generation reaches 42 tokens/sec, roughly 2× the speed seen on a GTX 1660 Super 6GB.
- The same setup was paired with a Hermes agent and left running for 30+ minutes; it benchmarked itself, recovered from failures, and kept the loop alive.
- The punchline: 6GB loads the model, 8GB runs the agent—a concrete snapshot of how far local inference has moved on cheap hardware.
More from coding & agent
- HeyGen adds a media-sourcing skill for coding agents with 75k images and 10k tracks — HeyGen · 2026-07-22
- Agent search bottlenecks are now about variance, not raw latency — rohanpaul_ai · 2026-07-22
- LangSmith adds tracing for Pipecat, LiveKit, OpenAI Realtime, and Gemini Live — LangChain · 2026-07-22
- An MCP server signs every AI agent tool call into a verifiable Merkle chain — Funky_Chicken_22 · 2026-07-22
- Annotated transcript of a Claude Code team interview is now available — trq212 · 2026-07-22
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22