Llama 3.2 3B
A 3-billion-parameter lightweight language model in Meta's Llama 3.2 series. The model file is approximately 2 GB in size, making it suitable for local deployment and execution on consumer-grade hardware.
Timeline (last 90 days)
If a feature requires reliable structured output, embedding a 1B model in the app is insufficient; a system model, a larger downloaded model (such as Llama 3.2 3B), or a cloud-based approach should be used instead.
The Llama 3.2 3B model download is approximately 2 GB and can run on an ordinary laptop.
A 4B parameter model (such as Phi-3-mini or Llama 3.2 3B) requires only approximately 8GB of VRAM and can run on a consumer-grade GPU.
Llama 3.2 3B、Phi-3 Mini 3.8B、Gemma 2B 等小模型在简单问答、文本摘要和工具调用任务上具备实用能力，但在复杂推理、长文本理解和多轮对话一致性上仍与 GPT-4、Claude 等云端旗舰模型存在明显差距
All Facts (4)
A 4B parameter model (such as Phi-3-mini or Llama 3.2 3B) requires only approximately 8GB of VRAM and can run on a consumer-grade GPU.
60%UnverifiedIf a feature requires reliable structured output, embedding a 1B model in the app is insufficient; a system model, a larger downloaded model (such as Llama 3.2 3B), or a cloud-based approach should be used instead.
50%UnverifiedThe Llama 3.2 3B model download is approximately 2 GB and can run on an ordinary laptop.
50%UnverifiedLlama 3.2 3B、Phi-3 Mini 3.8B、Gemma 2B 等小模型在简单问答、文本摘要和工具调用任务上具备实用能力，但在复杂推理、长文本理解和多轮对话一致性上仍与 GPT-4、Claude 等云端旗舰模型存在明显差距
50%