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LLaMA Mesh by Zhengyi

 »  All LLMs  »  Zhengyi  »  LLaMA Mesh   URL Share it on

  2812   
  Arxiv:2411.09595   Autotrain compatible   Endpoints compatible   Llama   Mesh-generation   Region:us   Safetensors   Sharded   Tensorflow   Text-to-3d
Model Card on HF 🤗: https://huggingface.co/Zhengyi/LLaMA-Mesh 

LLaMA Mesh Benchmarks

LLME Score: 0.29119
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA Mesh (Zhengyi/LLaMA-Mesh)

LLaMA Mesh Parameters and Internals

Model Type 
3D Mesh Generation, Text Generation
Additional Notes 
This model aims to unify 3D and text modalities into one system, allowing for simultaneous generation and comprehension of both text and 3D mesh data.
Training Details 
Data Sources:
Objaverse
Data Volume:
30k mesh data, subset from Objaverse
Methodology:
Supervised fine-tuning using text and 3D interleaved data
Context Length:
8000
Hardware Used:
32 GPUs
Model Architecture:
Transformer
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
LLM NameLLaMA Mesh
Repository 🤗https://huggingface.co/Zhengyi/LLaMA-Mesh 
Model Size8b
Required VRAM16.1 GB
Updated2025-04-23
MaintainerZhengyi
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Zhengyi/LLaMA-Mesh.

Rank the LLaMA Mesh 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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