What are the hardware requirements for BitCPM4 0.5B?

BitCPM4 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 BitCPM4 0.5B and how large is it?

BitCPM4 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 BitCPM4 0.5B?

BitCPM4 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BitCPM4 0.5B by openbmb — VRAM 0.9GB, 32K context

Name: BitCPM4 0.5B
Author: openbmb

BitCPM4 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: 0.19.

Conversational Custom code En Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/openbmb/BitCPM4-0.5B

BitCPM4 0.5B Parameters and Internals

LLM Name	BitCPM4 0.5B
Repository 🤗	https://huggingface.co/openbmb/BitCPM4-0.5B
Model Size	0.5b
Required VRAM	0.9 GB
Updated	2026-06-10
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
Tokenizer Class	LlamaTokenizer
Vocabulary Size	73448
Torch Data Type	bfloat16

Rank the BitCPM4 0.5B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 BitCPM4 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
BitCPM CANN 0.5B	32K / 0.9 GB	1649	9
MiniCPM4 0.5B	32K / 0.9 GB	92053	79

Note: green Score (e.g. "73.2") means that the model is better than openbmb/BitCPM4-0.5B.