What are the hardware requirements for Chinese Llama Plus 7B Merged?

Chinese Llama Plus 7B Merged requires approximately 13.7 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 Chinese Llama Plus 7B Merged and how large is it?

Chinese Llama Plus 7B Merged is developed by minlik, 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 Llama Plus 7B Merged?

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

Chinese Llama Plus 7B Merged by minlik — VRAM 13.7GB, 2K context

Name: Chinese Llama Plus 7B Merged
Author: minlik

Chinese Llama Plus 7B Merged is an open-source language model by minlik. Features: 7b LLM, VRAM: 13.7GB, Context: 2K, LLM Explorer Score: 0.06.

Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/minlik/chinese-llama-plus-7b-merged

Chinese Llama Plus 7B Merged Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, Chinese language processing

Applications:

text generation

Primary Use Cases:

natural language generation

Limitations:

Limited support for non-Chinese languages

Supported Languages

Chinese (native), English (limited)

Training Details

Data Sources:

Chinese text data

Methodology:

Pretrained on Chinese text with a specific vocabulary and continued training for better embeddings.

Model Architecture:

LLaMA

Input Output

Input Format:

Text inputs in Chinese

Accepted Modalities:

text

Output Format:

Generated text

Release Notes

Version:

v3.0

Notes:

Added Chinese vocabulary and continued training for improved embeddings.

LLM Name	Chinese Llama Plus 7B Merged
Repository 🤗	https://huggingface.co/minlik/chinese-llama-plus-7b-merged
Model Size	7b
Required VRAM	13.7 GB
Updated	2026-07-31
Maintainer	minlik
Model Type	llama
Model Files	9.9 GB: 1-of-2 3.8 GB: 2-of-2 9.9 GB: 1-of-2 3.8 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	49953
Torch Data Type	float16

Rank the Chinese Llama Plus 7B Merged 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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Note: green Score (e.g. "73.2") means that the model is better than minlik/chinese-llama-plus-7b-merged.