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Mplug Owl2 7B 448 Qinstruct Preview V0.1 by teowu

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Mplug Owl2 7B 448 Qinstruct Preview V0.1 is an open-source language model by teowu. Features: 7b LLM, VRAM: 17.3GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.1.

  Arxiv:1910.09700   Arxiv:2311.04257   Arxiv:2311.06783   Dataset:teowu/q-instruct   En   Endpoints compatible   Instruct   Mplug owl2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/teowu/mplug_owl2_7b_448_qinstruct_preview_v0.1 

Mplug Owl2 7b 448 Qinstruct Preview V0.1 Benchmarks

LLME Score: 0.09865
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mplug Owl2 7B 448 Qinstruct Preview V0.1 (teowu/mplug_owl2_7b_448_qinstruct_preview_v0.1)
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Mplug Owl2 7B 448 Qinstruct Preview V0.1 Parameters and Internals

Model Type 
Multi-modality Causal Language Model
Use Cases 
Limitations:
This model should be used for low-level visual perception and understanding tasks. It is not intended as a general-purpose visual assistant.
Additional Notes 
Carbon emissions can be estimated using the Machine Learning Impact calculator.
Supported Languages 
English (NLP)
Training Details 
Data Sources:
https://huggingface.co/datasets/teowu/Q-Instruct
Hardware Used:
NVIDIA A100 80G
LLM NameMplug Owl2 7b 448 Qinstruct Preview V0.1
Repository 🤗https://huggingface.co/teowu/mplug_owl2_7b_448_qinstruct_preview_v0.1 
Model Size7b
Required VRAM17.3 GB
Updated2026-06-06
Maintainerteowu
Model Typemplug_owl2
Instruction-BasedYes
Model Files  0.5 GB: 1-of-33   0.5 GB: 10-of-33   0.5 GB: 11-of-33   0.5 GB: 12-of-33   0.5 GB: 13-of-33   0.5 GB: 14-of-33   0.5 GB: 15-of-33   0.5 GB: 16-of-33   0.5 GB: 17-of-33   0.5 GB: 18-of-33   0.5 GB: 19-of-33   0.5 GB: 2-of-33   0.5 GB: 20-of-33   0.5 GB: 21-of-33   0.5 GB: 22-of-33   0.5 GB: 23-of-33   0.5 GB: 24-of-33   0.5 GB: 25-of-33   0.5 GB: 26-of-33   0.5 GB: 27-of-33   0.5 GB: 28-of-33   0.5 GB: 29-of-33   0.5 GB: 3-of-33   0.5 GB: 30-of-33   0.5 GB: 31-of-33   0.5 GB: 32-of-33   1.3 GB: 33-of-33   0.5 GB: 4-of-33   0.5 GB: 5-of-33   0.5 GB: 6-of-33   0.5 GB: 7-of-33   0.5 GB: 8-of-33   0.5 GB: 9-of-33
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000

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...421 8cf0 Afaf47fe3d2c 5GU4Xkd30K / 1.3 GB260
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...b1a 9d60 21e6c2d9bdb6 5EeLcV3L0K / 1.3 GB250
...29B 92a1 E78acf5901b2 5EEaxgnm0K / 1.3 GB220
...86B 8feb Ee84fab5469d 5GpcTKW70K / 1.3 GB220
...878 Be95 Abe659214b13 5FRdgPRd0K / 1.3 GB230
Note: green Score (e.g. "73.2") means that the model is better than teowu/mplug_owl2_7b_448_qinstruct_preview_v0.1.

Rank the Mplug Owl2 7B 448 Qinstruct Preview V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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