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🔬 Highlight VRRE validation and semantic reasoning evaluation capabilities

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  1. README.md +4 -1
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  ---
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  license: apache-2.0
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- base_model: mistralai/Mistral-7B-Instruct-v0.3
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  library_name: peft
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  tags:
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  - reasoning
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  Apollo V1 7B is a specialized language model optimized for reasoning-intensive tasks. The model demonstrates exceptional performance in logical reasoning, mathematical problem-solving, and legal analysis through targeted fine-tuning on curated reasoning datasets.
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  ### Key Capabilities
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  - **Logical Reasoning**: Advanced syllogistic reasoning, conditional logic, and contradiction detection
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  - **Legal Analysis**: Educational legal reasoning and case analysis capabilities
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  - **High Performance**: Optimized for fast inference while maintaining quality
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  - **Consistent Identity**: Maintains clear model identity and capability awareness
 
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  ## Model Details
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  ---
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  license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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  library_name: peft
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  tags:
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  - reasoning
 
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  Apollo V1 7B is a specialized language model optimized for reasoning-intensive tasks. The model demonstrates exceptional performance in logical reasoning, mathematical problem-solving, and legal analysis through targeted fine-tuning on curated reasoning datasets.
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+ **Validated by VANTA Research Reasoning Evaluation (VRRE)**: Apollo V1 7B was comprehensively evaluated using our novel semantic framework that detects reasoning improvements invisible to standard benchmarks. VRRE revealed critical performance insights that traditional benchmarks missed entirely, establishing it as an essential tool for LLM reasoning assessment.
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  ### Key Capabilities
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  - **Logical Reasoning**: Advanced syllogistic reasoning, conditional logic, and contradiction detection
 
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  - **Legal Analysis**: Educational legal reasoning and case analysis capabilities
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  - **High Performance**: Optimized for fast inference while maintaining quality
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  - **Consistent Identity**: Maintains clear model identity and capability awareness
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+ - **VRRE Validated**: Proven performance through semantic reasoning evaluation
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  ## Model Details
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