What are the hardware requirements for BlueLM 7B Chat 4bits?

BlueLM 7B Chat 4bits requires approximately 5.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BlueLM 7B Chat 4bits and how large is it?

BlueLM 7B Chat 4bits is developed by vivo-ai, a model with 7b 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 BlueLM 7B Chat 4bits?

BlueLM 7B Chat 4bits is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BlueLM 7B Chat 4bits by vivo-ai — VRAM 5.1GB, 2K context

Name: BlueLM 7B Chat 4bits
Author: vivo-ai

BlueLM 7B Chat 4bits is an open-source language model by vivo-ai. Features: 7b LLM, VRAM: 5.1GB, Context: 2K, License: other, LLM Explorer Score: 0.09.

Bluelm Custom code En Pytorch Region:us Sharded Zh

Model Card on HF 🤗: https://huggingface.co/vivo-ai/BlueLM-7B-Chat-4bits

BlueLM 7B Chat 4bits Parameters and Internals

Model Type

large language model, pretrained

Use Cases

Areas:

academic research, commercial applications

Supported Languages

zh (high), en (high), ja (low), ko (low)

Training Details

Data Sources:

Chinese, English, Japanese, Korean

Data Volume:

2.6 trillion tokens

Context Length:

32000

Input Output

Performance Tips:

Utilize CUDA enabled devices for improved performance.

LLM Name	BlueLM 7B Chat 4bits
Repository 🤗	https://huggingface.co/vivo-ai/BlueLM-7B-Chat-4bits
Model Size	7b
Required VRAM	5.1 GB
Updated	2026-07-30
Maintainer	vivo-ai
Model Type	BlueLM
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.1 GB: 3-of-3
Supported Languages	zh en
Model Architecture	BlueLMForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.1
Tokenizer Class	BlueLMTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	100096
Torch Data Type	bfloat16

Rank the BlueLM 7B Chat 4bits 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 BlueLM 7B Chat 4bits

Best Alternatives	Context / RAM	Downloads	Likes
BlueLM 7B Chat	2K / 14.5 GB	45	38
BlueLM 7B Base	2K / 14.5 GB	60	10
BlueLM 7B Chat 32K	2K / 14.5 GB	35	37
BlueLM 7B Base 32K	2K / 14.5 GB	16	12

Note: green Score (e.g. "73.2") means that the model is better than vivo-ai/BlueLM-7B-Chat-4bits.