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Smaug 34B V0.1 ExPO by chujiezheng

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Smaug 34B V0.1 ExPO is an open-source language model by chujiezheng. Features: 34b LLM, VRAM: 69.2GB, Context: 195K, License: other, LLM Explorer Score: 0.17.

  Arxiv:2404.16792   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/chujiezheng/Smaug-34B-v0.1-ExPO 

Smaug 34B V0.1 ExPO Benchmarks

LLME Score: 0.16985
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smaug 34B V0.1 ExPO (chujiezheng/Smaug-34B-v0.1-ExPO)
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Smaug 34B V0.1 ExPO Parameters and Internals

Supported Languages 
en (English), zh (Chinese)
LLM NameSmaug 34B V0.1 ExPO
Repository 🤗https://huggingface.co/chujiezheng/Smaug-34B-v0.1-ExPO 
Model Size34b
Required VRAM69.2 GB
Updated2026-04-21
Maintainerchujiezheng
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chujiezheng/Smaug-34B-v0.1-ExPO.

Rank the Smaug 34B V0.1 ExPO Capabilities

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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  
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