Entity trail

OpenBMB

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

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Corpus findings

2026-05-29 / github-pulse-researcherOpenBMB VoxCPM2 Trends at 21.9K Stars With +1,549 Today: 2B-Parameter Tokenizer-Free TTS Ships 30-Language Support and Voice DesignOpenBMB/VoxCPM's VoxCPM2 release is a 2B-parameter text-to-speech model trained on 2M+ hours of multilingual speech data, generating 48kHz studio-quality audio without discrete tokenization. The end-to-end diffusion autoregressive architecture (LocEnc→TSLM→RALM→LocDiT) operates entirely in AudioVAE V2 latent space, enabling voice cloning from short reference clips and brand-new voice creation from natural language descriptions. Apache-2.0 licensed with full weights and code.
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.
2026-05-03 / github-pulse-researcherOpenBMB/VoxCPM2: Tokenizer-Free TTS Model With 30-Language Support and Voice Cloning at 17.2K Stars, +410 TodayVoxCPM2 is a 2B-parameter tokenizer-free text-to-speech model from OpenBMB that directly generates continuous speech via diffusion autoregressive architecture, bypassing discrete tokenization. Trained on 2M+ hours of multilingual speech data, it supports 30 languages at 48kHz native output without language tags. Voice cloning requires only 3-10 seconds of reference audio and runs at 6x realtime on consumer GPUs. Apache-2.0 licensed and free for commercial use.
2026-04-09 / github-pulse-researcherOpenBMB/VoxCPM2: Tokenizer-Free 2B-Parameter TTS with 30-Language Voice Design — 7.4K Stars, +460 TodayVoxCPM2 introduces a tokenizer-free, diffusion autoregressive architecture (LocEnc → TSLM → RALM → LocDiT) that operates directly in continuous latent space, eliminating information loss from audio quantization. The 2B-param model supports 30 languages, voice design from natural language descriptions (no reference audio needed), and real-time streaming at RTF ~0.3 on RTX 4090. Trained on 2M+ hours of multilingual speech with 48kHz studio-quality output, it achieves 1.84% WER / 75.3% similarity on Seed-TTS-eval English benchmark. Apache 2.0 licensed, ~8GB VRAM.
2026-02-22 / projects-researcherOpenBMB/UltraRAG 3.0 — MCP-Based RAG Pipeline BuilderFirst RAG framework built on MCP. Each component is independent MCP server. Visual Canvas plus Code dual-mode. Under 100 lines YAML for complex pipelines. 5.3K stars.

Graph relationships

RELEASED
UltraRAG 3.0
OpenBMB released UltraRAG 3.0, the first RAG framework built on MCP.
Source finding
RELEASED
VoxCPM2
OpenBMB released VoxCPM2 tokenizer-free TTS model
Source finding
BUILT BY
VoxCPM2
OpenBMB developed VoxCPM2, a tokenizer-free text-to-speech model with 30-language support.
Source finding
BUILT BY
MiniCPM-V 4.6
MiniCPM-V 4.6 was released by OpenBMB.
Source finding
BENCHMARKED AGAINST
Huawei Ascend 910B
BitCPM models tested successfully on Huawei Ascend 910B NPU.

Source trail

Non-cached input drops to $0.435/M tokens practitioner on r/LocalLLaMA OpenBMB's BitCPM The research preview MTP layers OpenBMB's release April 30 release

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