What are the hardware requirements for BitCPM CANN 0.5B?

BitCPM CANN 0.5B requires approximately 0.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BitCPM CANN 0.5B and how large is it?

BitCPM CANN 0.5B is developed by openbmb, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate BitCPM CANN 0.5B?

BitCPM CANN 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BitCPM CANN 0.5B by openbmb — VRAM 0.9GB, 32K context

Name: BitCPM CANN 0.5B
Author: openbmb

BitCPM CANN 0.5B is an open-source language model by openbmb. Features: 0.5b LLM, VRAM: 0.9GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.28.

Custom code En Pytorch Region:us Zh

Model Card on HF 🤗: https://huggingface.co/openbmb/BitCPM-CANN-0.5B

BitCPM CANN 0.5B Parameters and Internals

LLM Name	BitCPM CANN 0.5B
Repository 🤗	https://huggingface.co/openbmb/BitCPM-CANN-0.5B
Model Size	0.5b
Required VRAM	0.9 GB
Updated	2026-08-08
Maintainer	openbmb
Model Files	0.9 GB
Supported Languages	zh en
Model Architecture	MiniCPMForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Vocabulary Size	73448
Torch Data Type	bfloat16

Rank the BitCPM CANN 0.5B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to BitCPM CANN 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM4 0.5B	32K / 0.9 GB	92053	79
BitCPM4 0.5B	32K / 0.9 GB	102	17