What are the hardware requirements for Chinese Mistral 7B V0.1?

Chinese Mistral 7B V0.1 requires approximately 15 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 Chinese Mistral 7B V0.1 and how large is it?

Chinese Mistral 7B V0.1 is developed by itpossible, 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 Chinese Mistral 7B V0.1?

Chinese Mistral 7B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chinese Mistral 7B V0.1 by itpossible — VRAM 15GB, 32K context

Name: Chinese Mistral 7B V0.1
Author: itpossible

Chinese Mistral 7B V0.1 is an open-source language model by itpossible. Features: 7b LLM, VRAM: 15GB, Context: 32K, LLM Explorer Score: 0.12.

Arxiv:2506.12473 Arxiv:2506.13796 Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/itpossible/Chinese-Mistral-7B-v0.1

Chinese Mistral 7B V0.1 Parameters and Internals

Model Type

text generation, multimodal

Use Cases

Areas:

research, commercial applications

Applications:

text generation in Chinese, educational tools

Primary Use Cases:

General AI tasks, Chinese language tasks

Limitations:

Potential to generate misleading or harmful content

Considerations:

Developers must conduct safety testing and adjust the model to meet safety requirements

Additional Notes

Achieved highest token compression rate in Chinese text handling.

Supported Languages

Chinese (enhanced), English (supported)

Training Details

Data Sources:

WanJuan, baike2018qa, Dolma, gutenberg-books

Data Volume:

Not specified

Methodology:

Incremental pre-training with Chinese vocabulary extension

Model Architecture:

Mistral-7B with extended Chinese vocabulary

Release Notes

Version:

0.1

Date:

2024-03-31

Notes:

Release of the base model Chinese-Mistral-7B

Version:

0.1

Date:

2024-04-04

Notes:

Release of the instruction fine-tuned model Chinese-Mistral-7B-Instruct

LLM Name	Chinese Mistral 7B V0.1
Repository 🤗	https://huggingface.co/itpossible/Chinese-Mistral-7B-v0.1
Model Size	7b
Required VRAM	15 GB
Updated	2026-08-06
Maintainer	itpossible
Model Type	mistral
Model Files	3.9 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.3 GB: 4-of-4
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	63872
Torch Data Type	bfloat16

Rank the Chinese Mistral 7B V0.1 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

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than itpossible/Chinese-Mistral-7B-v0.1.