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Neo 7B Instruct V0.1 ExPO by chujiezheng

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  20   
  Arxiv:2404.16792   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/chujiezheng/neo_7b_instruct_v0.1-ExPO 

Neo 7b Instruct V0.1 ExPO Benchmarks

LLME Score: 0.17361
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neo 7B Instruct V0.1 ExPO (chujiezheng/neo_7b_instruct_v0.1-ExPO)

Neo 7B Instruct V0.1 ExPO Parameters and Internals

Additional Notes 
This model is obtained by extrapolating from the weights of the SFT and DPO/RLHF checkpoints with alpha=0.3.
Supported Languages 
en (unknown), zh (unknown)
LLM NameNeo 7b Instruct V0.1 ExPO
Repository 🤗https://huggingface.co/chujiezheng/neo_7b_instruct_v0.1-ExPO 
Model Size7b
Required VRAM15.5 GB
Updated2025-06-01
Maintainerchujiezheng
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.8 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassNEOTokenizer
Padding Token<unk>
Vocabulary Size64256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chujiezheng/neo_7b_instruct_v0.1-ExPO.

Rank the Neo 7B Instruct 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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