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LLaMA Mesh by Zhengyi

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LLaMA Mesh is an open-source language model by Zhengyi. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.2.

  Arxiv:2411.09595   Deploy:azure   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: 0.19509
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)
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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
Updated2026-04-10
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

Best Alternatives to LLaMA Mesh

Best Alternatives
Context / RAM
Downloads
Likes
LWM Text Chat 512K512K / 13.5 GB72
LWM Text 512K512K / 13.5 GB52
LWM Text 256K256K / 13.5 GB113
LWM Text Chat 256K256K / 13.5 GB63
Pallas 0.5 LASER 0.1195K / 68.9 GB18882
SnorTTS Indic V0128K / 9.5 GB81721
Orpheus AUS128K /  GB50
Llama 3.1 Medprm Reward V1.0128K / 16.1 GB11016
Finetuning Health Ci128K / 6.5 GB22
Ukr Synth Phi 3.5128K / 7.6 GB70
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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