What are the hardware requirements for Chinese Alpaca Pro 33B Merged?

Chinese Alpaca Pro 33B Merged requires approximately 65.7 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 Alpaca Pro 33B Merged and how large is it?

Chinese Alpaca Pro 33B Merged is developed by minlik, a model with 33b 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 Alpaca Pro 33B Merged?

Chinese Alpaca Pro 33B Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chinese Alpaca Pro 33B Merged by minlik — VRAM 65.7GB, 2K context

Name: Chinese Alpaca Pro 33B Merged
Author: minlik

Chinese Alpaca Pro 33B Merged is an open-source language model by minlik. Features: 33b LLM, VRAM: 65.7GB, Context: 2K, LLM Explorer Score: 0.07.

Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/minlik/chinese-alpaca-pro-33b-merged

Chinese Alpaca Pro 33B Merged Parameters and Internals

Model Type

text generation, instruction-following

Additional Notes

The model is designed to continue pre-training for Chinese embedding and uses further instruction datasets for fine-tuning purposes.

Input Output

Input Format:

text prompt with Chinese instruction

Accepted Modalities:

text

Output Format:

text completion or response

LLM Name	Chinese Alpaca Pro 33B Merged
Repository 🤗	https://huggingface.co/minlik/chinese-alpaca-pro-33b-merged
Model Size	33b
Required VRAM	65.7 GB
Updated	2026-07-27
Maintainer	minlik
Model Type	llama
Model Files	10.1 GB: 1-of-7 10.0 GB: 2-of-7 9.9 GB: 3-of-7 9.9 GB: 4-of-7 9.9 GB: 5-of-7 10.0 GB: 6-of-7 5.9 GB: 7-of-7 10.1 GB: 1-of-7 10.0 GB: 2-of-7 9.9 GB: 3-of-7 9.9 GB: 4-of-7 9.9 GB: 5-of-7 10.0 GB: 6-of-7 6.1 GB: 7-of-7
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	49954
Torch Data Type	float16

Rank the Chinese Alpaca Pro 33B 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

Best Alternatives to Chinese Alpaca Pro 33B Merged

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.3 33B	512K / 66.3 GB	4785	655
Nanbeige4.3 33B NVFP4	512K / 22.1 GB	537	20
Nanbeige4.3 33B OQ4e	512K / 19.4 GB	894	3
Nanbeige4.3 33B Heretic NVFP4	512K / 22.1 GB	266	3
Nanbeige4.3 33B NVFP4	512K / 4.7 GB	870	0
Nanbeige4.3 33B FP8	512K / 4.7 GB	396	2
Nanbeige4.3 33B NVFP4	512K / 22.1 GB	340	1
Nanbeige4.3 33B NVFP4 A16	512K / 22.1 GB	279	1
Nanbeige4.3 33B OQ6e	512K / 27.7 GB	326	1
Nanbeige 4.3 33B Heretic	512K / 65.9 GB	471	0

Note: green Score (e.g. "73.2") means that the model is better than minlik/chinese-alpaca-pro-33b-merged.