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XBai O4 by MetaStoneTec

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XBai O4 is an open-source language model by MetaStoneTec. Features: 32.8b LLM, VRAM: 65.6GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.25.

  Arxiv:2507.01951   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MetaStoneTec/XBai-o4 

XBai O4 Benchmarks

LLME Score: 0.24637
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XBai O4 (MetaStoneTec/XBai-o4)
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XBai O4 Parameters and Internals

LLM NameXBai O4
Repository 🤗https://huggingface.co/MetaStoneTec/XBai-o4 
Model Size32.8b
Required VRAM65.6 GB
Updated2026-03-29
MaintainerMetaStoneTec
Model Typeqwen3
Model Files  5.0 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   5.0 GB: 4-of-14   4.9 GB: 5-of-14   5.0 GB: 6-of-14   5.0 GB: 7-of-14   4.7 GB: 8-of-14   4.9 GB: 9-of-14   4.7 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14   0.2 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the XBai O4

Model
Likes
Downloads
VRAM
XBai O4 8bit53834 GB

Best Alternatives to XBai O4

Best Alternatives
Context / RAM
Downloads
Likes
KAT Dev128K / 65.8 GB27210
...ZEL8E7N88LsUhTgfztTWVnnnFsmh8d40K / 65.1 GB2860
...GysVsNqvLhry32LrToJnL7GmrVhFSE40K / 65.5 GB2940
...BQQjtS3cXkDV7x46ZUcoUP3pFRGoj440K / 65.3 GB1590
...J534ZBpbFUUT1hoWXAuj18k7Qs7g2R40K / 65.5 GB1600
...dFvhdjrxjqMyBZyPVKhknRtHESTKLe40K / 65.8 GB700
...gZkoy345hxCZX9Dxh3Tay43Me4nhwN40K / 65.8 GB710
... Qwen Misaligned V3 Round 2 V240K / 131.6 GB1960
M3 Agent Control40K / 65.5 GB13249
Shuttle 3.540K / 65.8 GB109944
Note: green Score (e.g. "73.2") means that the model is better than MetaStoneTec/XBai-o4.

Rank the XBai O4 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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