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MiniCPM5 2B RotSVDMix Quantized by ewin-reg

By ewin-reg · 1389 downloads

MiniCPM5 2B RotSVDMix Quantized is an open-source language model by ewin-reg. Features: 2b LLM, VRAM: 2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.34.

  Arxiv:2404.00456   Arxiv:2509.23809   Arxiv:2601.07892   Arxiv:2607.13511   4-bit   Base model:openbmb/minicpm5-2b Base model:quantized:openbmb/m...   Conversational   Dataset:wikitext   Edge-ai   En   Endpoints compatible   Externd   Hadamard-transform   Int4   Int8   Llama   Low-rank-svd   Minicpm   Minicpm5   Mobile-inference   Model-index   On-device-ai   Pytorch   Quantization   Region:us   Rot svd mix v2   Rotsvd   Safetensors   Ternary-quantization   Zh

MiniCPM5 2B RotSVDMix Quantized Parameters and Internals

LLM NameMiniCPM5 2B RotSVDMix Quantized
Repository πŸ€—https://huggingface.co/ewin-reg/MiniCPM5-2B-RotSVDMix-Quantized 
Base Model(s)  MiniCPM5 2B   openbmb/MiniCPM5-2B
Model Size2b
Required VRAM2 GB
Updated2026-09-19
Maintainerewin-reg
Model Typellama
Model Files  2.0 GB
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version5.16.1
Tokenizer ClassTokenizersBackend
Padding Token</s>
Vocabulary Size130560

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