What are the hardware requirements for Baichuan 7B Sft 001?

Baichuan 7B Sft 001 requires approximately 14 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 Sft 001 and how large is it?

Baichuan 7B Sft 001 is developed by mxmax, 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 Sft 001?

Baichuan 7B Sft 001 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Baichuan 7B Sft 001 by mxmax — VRAM 14GB, 4K context

Name: Baichuan 7B Sft 001
Author: mxmax

Baichuan 7B Sft 001 is an open-source language model by mxmax. Features: 7b LLM, VRAM: 14GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.08.

Baichuan Custom code Endpoints compatible Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/mxmax/baichuan-7b-sft-001

Baichuan 7B Sft 001 Parameters and Internals

Model Type

text generation

Use Cases

Primary Use Cases:

multi-turn dialogue

Training Details

Data Sources:

MOSS dataset

Data Volume:

150,000 samples

Methodology:

sft

Context Length:

1024

Input Output

Input Format:

text with history context

Accepted Modalities:

text

Output Format:

text

LLM Name	Baichuan 7B Sft 001
Repository 🤗	https://huggingface.co/mxmax/baichuan-7b-sft-001
Model Size	7b
Required VRAM	14 GB
Updated	2026-06-11
Maintainer	mxmax
Model Type	baichuan
Model Files	10.0 GB: 1-of-2 4.0 GB: 2-of-2
Model Architecture	BaiChuanForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.29.1
Tokenizer Class	BaiChuanTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	64000
Torch Data Type	float32

Rank the Baichuan 7B Sft 001 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 Sft 001

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
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	4K / 13.8 GB	11	0
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 mxmax/baichuan-7b-sft-001.