What are the hardware requirements for Mistral 7B V0.3 Chinese Chat F16?

Mistral 7B V0.3 Chinese Chat F16 requires approximately 14.5 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 Mistral 7B V0.3 Chinese Chat F16 and how large is it?

Mistral 7B V0.3 Chinese Chat F16 is developed by shenzhi-wang, 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 Mistral 7B V0.3 Chinese Chat F16?

Mistral 7B V0.3 Chinese Chat F16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B V0.3 Chinese Chat F16 by shenzhi-wang — VRAM 14.5GB, 32K context

Name: Mistral 7B V0.3 Chinese Chat F16
Author: shenzhi-wang

Mistral 7B V0.3 Chinese Chat F16 is an open-source language model by shenzhi-wang. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:2403.07691 Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational En Endpoints compatible Fp16 Gguf Instruct Llama-factory Mistral Orpo Quantized Region:us Zh

Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat-f16

Mistral 7B V0.3 Chinese Chat F16 Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Chinese & English language interaction

Applications:

Roleplay, Mathematics, Tool use

Primary Use Cases:

Chinese and English communication

Additional Notes

First model fine-tuned specifically for Chinese and English users based on mistralai/Mistral-7B-Instruct-v0.3, reducing mixed language issues.

Supported Languages

en (Proficient), zh (Proficient)

Training Details

Data Sources:

Mixed Chinese-English dataset

Data Volume:

~100K preference pairs

Methodology:

ORPO (Reference-free Monolithic Preference Optimization)

Context Length:

32768

Model Architecture:

Instruction-tuned Language Model

Release Notes

Version:

v0.3

Date:

May 26, 2024

Notes:

Introduction of Mistral-7B-v0.3-Chinese-Chat, fine-tuned for Chinese and English users with enhancements in various functionalities.

LLM Name	Mistral 7B V0.3 Chinese Chat F16
Repository 🤗	https://huggingface.co/shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat-f16
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-15
Maintainer	shenzhi-wang
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	fp16\|gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.0
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral 7B V0.3 Chinese Chat F16 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 Mistral 7B V0.3 Chinese Chat F16

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	201	0
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14
Mistral V0.3 7B Cybersecurity	32K / 14.5 GB	52	1
BioMistralMerged	32K / 14.4 GB	54	2
...andle Mistral 7B Instruct V0.1	32K / 14.4 GB	1236	3
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	189	1
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	156	1
...tral 7B V0.3 Chinese Chat 4bit	32K / 4.1 GB	45	2

Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat-f16.