Thinik Orpo V2.0 by J-LAB

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Orpo   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/J-LAB/Thinik_Orpo_v2.0 

Thinik Orpo V2.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Thinik Orpo V2.0 (J-LAB/Thinik_Orpo_v2.0)

Thinik Orpo V2.0 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This qwen2 model was trained 2x faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (fluent)
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameThinik Orpo V2.0
Repository ๐Ÿค—https://huggingface.co/J-LAB/Thinik_Orpo_v2.0 
Base Model(s)  unsloth/qwen2.5-3b-bnb-4bit   unsloth/qwen2.5-3b-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2025-01-31
MaintainerJ-LAB
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16

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Model9232K / 6.8 GB140
Note: green Score (e.g. "73.2") means that the model is better than J-LAB/Thinik_Orpo_v2.0.

Rank the Thinik Orpo V2.0 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227