NVIDIA Nemotron 3.5 Bolt E4B 4GB (post-trained Gemma 4 E4B)
Summary
NVIDIA released Nemotron 3.5 Bolt E4B 4GB, a post-trained Gemma 4 E4B model with multi-turn agentic and conversational capabilities optimized for running on RTX, Jetson, and DGX Spark devices, claiming ~40% higher quality and ~80% fewer output tokens than peers.
Similar Articles
nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB
NVIDIA 发布 Nemotron-3.5-Bolt-E4B-4GB，一款基于 Gemma-4-E4B-it 后训练的小语言模型（8B 总参数、4B 有效参数，Q4_K_M 量化），专为低内存、低首字延迟的本地语音助手与嵌入式边缘场景优化，采用 OpenMDW-1.1 开放许可。
From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI
NVIDIA and Google collaborate to optimize Gemma 4 models for local deployment across RTX GPUs, DGX Spark, and Jetson devices, enabling efficient on-device agentic AI with support for reasoning, coding, multimodal capabilities, and 35+ languages.
unsloth/NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF
Unsloth 发布 NVIDIA Nemotron 3.5 Bolt E4B 的 GGUF 量化版本（Q4_K_M），这是一个基于 Gemma-4-E4B-it 进一步后训练的小语言模型（SLM），专为低内存、低首字延迟的本地语音助手与嵌入式/边缘设备场景优化。
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4
NVIDIA releases Nemotron-3-Ultra, a 550B-parameter open-weight model with a hybrid architecture combining Mamba-2, MoE, and attention, supporting up to 1M token context and configurable reasoning mode.
@googlegemma: Gemma 4 E2B goes super fast on Intel AI PCs thanks to LiteRT NPU support on OpenVINO! 1.3x faster prefill performance o…
Gemma 4 E2B achieves 1.3x faster prefill and 2.8x better performance-per-watt on Intel AI PCs using OpenVINO with LiteRT NPU support, enabling efficient background LLM tasks.