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Bailong Orpo 7B by INX-TEXT

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  Arxiv:2304.08177   Arxiv:2403.07691   Arxiv:2404.00862   Autotrain compatible Base model:inx-text/bailong-in... Base model:quantized:inx-text/...   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Orpo   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Bailong Orpo 7B Benchmarks

LLME Score: 0.22113
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bailong Orpo 7B Parameters and Internals

LLM NameBailong Orpo 7B
Repository 🤗https://huggingface.co/INX-TEXT/Bailong-orpo-7B 
Base Model(s)  INX-TEXT/Bailong-instruct-7B   INX-TEXT/Bailong-instruct-7B
Model Size7b
Required VRAM14 GB
Updated2024-10-18
MaintainerINX-TEXT
Model Typellama
Instruction-BasedYes
Model Files  13.9 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.0 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size59241
Torch Data Typebfloat16
Bailong Orpo 7B (INX-TEXT/Bailong-orpo-7B)

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Note: green Score (e.g. "73.2") means that the model is better than INX-TEXT/Bailong-orpo-7B.

Rank the Bailong Orpo 7B 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 v2024072803
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