FineTuned MiniCPM5 1B Testing
Summary
XtrCom 释放了 XT-Luna 1B v1,这是基于 MiniCPM5 1B 面向智能体(agentic)和编码任务微调的模型,并在模型卡中提供了与官方 MiniCPM5 1B SFT 及 Qwen 3.5 4B 的对比基准。
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MiniCPM5-1B
OpenBMB releases MiniCPM5-1B, a dense 1B Transformer model achieving SOTA among open-source 1B-class models, designed for on-device deployment with hybrid reasoning and long-context support.
@FeitengLi: OpenBMB open-sources MiniCPM-V 4.6, 1.3B parameters (SigLIP2-400M + Qwen3.5-0.8B), 262k context, visual encoding FLOPs 50%+ less than previous generation. Token cost for the same task is lower than Qwen3.5-0…
OpenBMB releases MiniCPM-V 4.6, a 1.3B-parameter multimodal LLM with 262k context and significantly reduced visual encoding FLOPs, achieving strong benchmark performance and broad inference framework support.
@AdinaYakup: MiniCPM5-1B is an impressive release in the 1B class! @OpenBMB https://huggingface.co/collections/openbmb/minicpm5… 1B …
MiniCPM5-1B is a new 1B parameter AI model from OpenBMB featuring hybrid reasoning with Think/No-Think modes, 128K context, and Apache 2.0 license, running on various hardware.
LFM2.5 2.6b vs MiniCPM5 2b
作者在 M1 Air 上使用 llama-server 对比了 LFM2.5 2.6B 与 MiniCPM5 2B 在小型 agentic 工具调用任务上的表现。结论是 LFM2.5 明显更优——尽管参数更多但速度更快、内存占用更低,而 MiniCPM5 虽然在 agentic 任务上可能更强,但常常在英文提问下返回中文。
openbmb/MiniCPM-V-4.7-1B
MiniCPM-V 4.7 1B 是 MiniCPM-V 系列最新模型,主打性能与效率的新帕累托前沿,采用早期视觉 token 压缩架构,支持 iOS/Android/HarmonyOS 及多家芯片平台的端侧部署,并提供 FP8 量化与 Self-Replay 微调方法。