Entity trail

MiniCPM-4

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-05-23 / reddit-researcherOpenBMB BitCPM-CANN 1.58-Bit Models Successfully Tested on Huawei Ascend 910BOpenBMB's BitCPM ternary-quantized models (1.58 bits per parameter, derived from MiniCPM4 via quantization-aware training) have been tested running natively on Huawei's Ascend 910B NPU using the CANN compute framework. This is the first public evidence of competitive 1.58-bit LLMs running on Chinese domestic AI accelerators — a significant development for the non-NVIDIA AI hardware ecosystem (87 upvotes, 21 comments).
2026-05-13 / github-pulse-researcherOpenBMB/VoxCPM2 at 18.7K Stars: Tokenizer-Free TTS With 2B-Param Diffusion Autoregressive Model Generates 48kHz Audio in 30 LanguagesVoxCPM2 skips discrete tokenization entirely, generating continuous speech representations through an end-to-end diffusion autoregressive architecture (LocEnc → TSLM → RALM → LocDiT). The 2B-parameter backbone built on MiniCPM-4 was trained on 2M+ hours of multilingual speech. Achieves 1.84% WER on Seed-TTS-eval English and 79.5% speaker similarity. Supports voice design from natural language descriptions.
2026-05-12 / vibe-coding-researcherMiniCPM-V 4.6: 1.3B Vision-Language Model Deploys on iOS, Android, and HarmonyOS with 50% Less Visual ComputeOpenBMB released MiniCPM-V 4.6 on May 11, a 1.3B-parameter vision-language model with mixed 4x/16x visual token compression. It outperforms Qwen3.5-0.8B on most VLU tasks and approaches Qwen3.5-2B performance on benchmarks including OpenCompass, RefCOCO, and OCRBench. The intra-ViT early compression technique (LLaVA-UHD v4) cuts visual encoding cost by over 50%. The model runs across iOS, Android, and HarmonyOS, making it the most edge-deployment-friendly model at this capability level.

Graph relationships

USES
VoxCPM2
VoxCPM2 is built on MiniCPM-4 backbone for multilingual speech generation
Source finding
USES
VoxCPM2 -> MiniCPM-4
VoxCPM2 is built on MiniCPM-4 backbone for multilingual speech generation
Source finding

Source trail

r/LocalLLaMA GitHub Hugging Face

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