What are the hardware requirements for BlueLM 7B Base 32K?

BlueLM 7B Base 32K requires approximately 14.5 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 Base 32K and how large is it?

BlueLM 7B Base 32K 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 Base 32K?

BlueLM 7B Base 32K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BlueLM 7B Base 32K by vivo-ai — VRAM 14.5GB, 2K context

Name: BlueLM 7B Base 32K
Author: vivo-ai

BlueLM 7B Base 32K is an open-source language model by vivo-ai. Features: 7b LLM, VRAM: 14.5GB, 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-Base-32K

BlueLM 7B Base 32K Parameters and Internals

Model Type

text generation, multimodal

Use Cases

Areas:

research, commercial applications

Supported Languages

zh (High Proficiency), en (High Proficiency)

Training Details

Data Sources:

Chinese, English, Japanese, Korean

Data Volume:

2.6 trillion tokens

Methodology:

Large-scale pretraining

Context Length:

32000

LLM Name	BlueLM 7B Base 32K
Repository 🤗	https://huggingface.co/vivo-ai/BlueLM-7B-Base-32K
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-23
Maintainer	vivo-ai
Model Type	BlueLM
Model Files	1.9 GB: 1-of-8 1.9 GB: 2-of-8 1.9 GB: 3-of-8 2.0 GB: 4-of-8 2.0 GB: 5-of-8 2.0 GB: 6-of-8 2.0 GB: 7-of-8 0.8 GB: 8-of-8
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 Base 32K 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 BlueLM 7B Base 32K

Best Alternatives	Context / RAM	Downloads	Likes
BlueLM 7B Chat	2K / 14.5 GB	45	38
BlueLM 7B Chat 4bits	2K / 5.1 GB	22	13
BlueLM 7B Base	2K / 14.5 GB	60	10
BlueLM 7B Chat 32K	2K / 14.5 GB	35	37

Note: green Score (e.g. "73.2") means that the model is better than vivo-ai/BlueLM-7B-Base-32K.