# Mem0 评估 Nemotron-3-Embed 模型用于记忆检索，retrieval@10 从 78.71 提升至 80.38，优于 qwen-3-600m，并强调其开放权重与高效推理

- 来源：NVIDIA AI
- 发布时间：2026-07-17 00:34
- AIWatch 分数：65
- AIWatch 标记：当日精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kxzq0s32npkr4ad14seey026
- 原文链接：https://x.com/NVIDIAAI/status/2078232868770447726

## 精选理由

常规快讯，保留列表

## AI 摘要

Mem0 评估 Nemotron-3-Embed 模型用于记忆检索，retrieval@10 从 78.71 提升至 80.38，优于 qwen-3-600m，并强调其开放权重与高效推理。

## 正文

Tested on longmemeval: retrieval@10 improved from 78.71 to 80.38 over qwen-3-600m

A few things made it a good fit for how we operate: open weights, NVFP4 support on Blackwell for efficient inference, and strong throughput, which matters for a system where writes happen constantly.

A breakdown on how Mem0 uses embeddings and Nemotron-3-embed evaluation below👇