What are the hardware requirements for PandaLM 7B V1?

PandaLM 7B V1 requires approximately 13.5 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 PandaLM 7B V1 and how large is it?

PandaLM 7B V1 is developed by WeOpenML, 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 PandaLM 7B V1?

PandaLM 7B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PandaLM 7B V1 by WeOpenML — VRAM 13.5GB, 2K context

Name: PandaLM 7B V1
Author: WeOpenML

PandaLM 7B V1 is an open-source language model by WeOpenML. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.07.

Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/WeOpenML/PandaLM-7B-v1

PandaLM 7B V1 Parameters and Internals

LLM Name	PandaLM 7B V1
Repository 🤗	https://huggingface.co/WeOpenML/PandaLM-7B-v1
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-06
Maintainer	WeOpenML
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 13.5 GB: 1-of-2 13.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
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	32001
Torch Data Type	bfloat16

Rank the PandaLM 7B V1 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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162	1024K / 16.1 GB	60
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Note: green Score (e.g. "73.2") means that the model is better than WeOpenML/PandaLM-7B-v1.