Fastino与NVIDIA发布Nemotron 3.5金融及医疗开源模型

5-Lightning-Healthcare，均基于Nemotron 3.5 Lightning微调。

金融模型在FinQA基准上执行准确率从15.86%提升至59.

23%，增幅43.37个百分点；

在BizFinBench上从49.65%升至57.

46%。医疗模型在HealthAdminBench上从25.

67%升至29.95%，在MedCalc-Bench上从49.

09%升至54.18%。

两款模型均以Apache 2.0许可发布在Hugging Face上。

同时，Fastino还发布了自动微调工具Fastino Fine-Tuning Agent的私人预览版。

https://t.co/r7p9CKh4w8

x.com/fastinoAI/stat… Fastino Labs @fastinoAI In collaboration with @nvidia we're releasing two new open weight models: Fastino-Nemotron-3.5-Lightning-Finance and Fastino-Nemotron-3.5-Lightning-Healthcare. Working closely with the Nemotron team, we developed both models on Nemotron 3.5 Lightning using the Fastino Fine-Tuning Agent, which autonomously ran the entire post-training pipeline. The base model was highly responsive, with the agent reaching substantial gains across both domains with compact datasets alone. - Fastino-Nemotron-3.5-Lightning-Finance excels at numerical reasoning, research, and summarization over financial concepts and documents. When evaluated, the fine-tuned model increased FinQA execution accuracy by 43.37 points (15.86% to 59.23%), and increased 7.81 points (from 49.65% to 57.46%) on BizFinBench. - Fastino-Nemotron-3.5-Lightning-Healthcare specializes in clinical conversation quality, summarizing notes and discharge documentation, and extracting medical concepts from unstructured text. In post-training, the Fastino Fine-Tuning Agent improved performance by a margin of 4.28 points on HealthAdminBench (from 25.67% to 29.95%) and 5.09 points on MedCalc-Bench (from 49.09% to 54.18%). It also increased flag accuracy on MEDEC by 11.32 points, beating Opus 4.6 and beating Muse Spark by 0.98 points. Both models are available on @huggingface under the Apache 2.0 license: - huggingface.co/fastino/Fastin… - huggingface.co/fastino/Fastin… Today we are also releasing the Fastino Fine-Tuning Agent in private preview, which you can sign up for access to here: fastino.ai/nvidia-collabo… 🔗 View Quoted Tweet

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Fastino, NVIDIA, Nemotron 3.5, 开源模型.

Source attribution: curated from NVIDIA AI (@NVIDIAAI). Cross-source corroboration: 11 independent sources have covered this development (including IT之家, Decoder, ollama), confirming industry-wide signal strength.