What are the hardware requirements for Baichuan 7B?

Baichuan 7B requires approximately 13.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Baichuan 7B and how large is it?

Baichuan 7B is developed by sharpbai, 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 Baichuan 7B?

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

Baichuan 7B by sharpbai — VRAM 13.8GB, 4K context

Name: Baichuan 7B
Author: sharpbai

Baichuan 7B is an open-source language model by sharpbai. Features: 7b LLM, VRAM: 13.8GB, Context: 4K, LLM Explorer Score: 0.08.

Arxiv:1910.07467 Arxiv:2009.03300 Baichuan Custom code En Endpoints compatible Pytorch Region:us Sharded Zh

Model Card on HF 🤗: https://huggingface.co/sharpbai/Baichuan-7B

Baichuan 7B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Supported Languages

Chinese (supported), English (supported)

Training Details

Data Volume:

1.2 trillion tokens

Methodology:

Based on Transformer architecture

Context Length:

4096

Model Architecture:

Transformer structure with <fn> rotary-embedding</fn>, <fn> SwiGLU feedforward</fn>, and Pre-Normalization based on RMSNorm

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

generated text

LLM Name	Baichuan 7B
Repository 🤗	https://huggingface.co/sharpbai/Baichuan-7B
Model Size	7b
Required VRAM	13.8 GB
Updated	2026-07-26
Maintainer	sharpbai
Model Type	baichuan
Model Files	0.0 GB: 1-of-35 0.5 GB: 2-of-35 0.4 GB: 3-of-35 0.4 GB: 4-of-35 0.4 GB: 5-of-35 0.4 GB: 6-of-35 0.4 GB: 7-of-35 0.4 GB: 8-of-35 0.4 GB: 9-of-35 0.4 GB: 10-of-35 0.4 GB: 11-of-35 0.4 GB: 12-of-35 0.4 GB: 13-of-35 0.4 GB: 14-of-35 0.4 GB: 15-of-35 0.4 GB: 16-of-35 0.4 GB: 17-of-35 0.4 GB: 18-of-35 0.4 GB: 19-of-35 0.4 GB: 20-of-35 0.4 GB: 21-of-35 0.4 GB: 22-of-35 0.4 GB: 23-of-35 0.4 GB: 24-of-35 0.4 GB: 25-of-35 0.4 GB: 26-of-35 0.4 GB: 27-of-35 0.4 GB: 28-of-35 0.4 GB: 29-of-35 0.4 GB: 30-of-35 0.4 GB: 31-of-35 0.4 GB: 32-of-35 0.4 GB: 33-of-35 0.4 GB: 34-of-35 0.5 GB: 35-of-35
Supported Languages	zh en
Model Architecture	BaiChuanForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.2
Tokenizer Class	BaiChuanTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Baichuan 7B 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 Baichuan 7B

Best Alternatives	Context / RAM	Downloads	Likes
Baichuan 7B	4K / 14 GB	21810	841
MedChatZH	4K / 14 GB	580	9
WisdomInterrogatory	4K / 13.9 GB	14	5
Baichuan 7B Sft 001	4K / 14 GB	524	3
HuatuoGPT 7B	4K / 28 GB	819	22
Qiaoban Bc	4K / 28 GB	10	8
Baichuan 7B Instruction	4K / 14 GB	22	2
Baichuan 7B Chat	4K / 14 GB	514	25
Baichuan 7B Sft	4K / 14 GB	49	77
Baichuan 7B Sharded	4K / 13.9 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than sharpbai/Baichuan-7B.