@AntLingAGI: AD quants on a terminal device with a domain enhanced model? There are so many interesting scenarios we could build on …

X AI KOLs Timeline Tools
local-llm quantization gguf edge-ai finance terminal

Summary

Ling 3.0 flash Fin AD quants can run locally on terminal devices via Atomic Chat to analyze Excel files and generate markdown summaries, enabling offline domain-specific AI workflows.

AD quants on a terminal device with a domain enhanced model? There are so many interesting scenarios we could build on top of it! Thanks to our day0 partner @atomic_chat_hq for making this to happen~ 😎
Original Article
View Cached Full Text

Cached at: 09/06/26, 08:53 PM

AD quants on a terminal device with a domain enhanced model? There are so many interesting scenarios we could build on top of it! Thanks to our day0 partner @atomic_chat_hq for making this to happen~ 😎

atomic.chat (@atomic_chat_hq): Running Ling 3.0 flash Fin AD quants via Atomic Chat 🌀

It analyzed an .xlsx expenses report and built a markdown table which contains a short per-month summary of all spendings, everything locally

GGUF quants:

Similar Articles

Ling-3.0-flash MXFP4 released and running locally on one DGX Spark.

Reddit r/LocalLLaMA

Ling-3.0-flash MXFP4, a quantized model, has been released and runs locally on a single DGX Spark, achieving ~80 tok/s decoding and 2,500-3,500 tok/s long-input prefilling, enabling private on-device inference for coding, agents, and offline batch jobs.