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PVD 160K Mistral 7B by mikewang

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PVD 160K Mistral 7B is an open-source language model by mikewang. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

  Arxiv:2404.06479   Dataset:mikewang/pvd-160k   Endpoints compatible   Image-to-text   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mikewang/PVD-160k-Mistral-7b 

PVD 160K Mistral 7B Benchmarks

LLME Score: 0.12262
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PVD 160K Mistral 7B (mikewang/PVD-160k-Mistral-7b)
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PVD 160K Mistral 7B Parameters and Internals

Model Type 
Visual Reasoning
Use Cases 
Areas:
Research, Multimodal Reasoning
Applications:
Question Answering, Spatial Relation Identification
Additional Notes 
The model handles question-answering tasks about vector graphics specifically. It uses SVG representations and learned Primal Visual Description integrated into existing LLMs and LMMs.
LLM NamePVD 160K Mistral 7B
Repository 🤗https://huggingface.co/mikewang/PVD-160k-Mistral-7b 
Model Size7b
Required VRAM14.5 GB
Updated2026-05-30
Maintainermikewang
Model Typemistral
Model Files  14.5 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mikewang/PVD-160k-Mistral-7b.

Rank the PVD 160K Mistral 7B 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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