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Research PathfinderAI by Daemontatox

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Daemontatox/Research_PathfinderAI 

Research PathfinderAI Benchmarks

MMLU Pro: 1.45
MUSR: 1.76
BBH: 1.43
IFEval: 34.57 vs 88 (so35)-60.7%
MATH Lvl 5: 16.99
LLME Score: 0.2545
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Research PathfinderAI Parameters and Internals

LLM NameResearch PathfinderAI
Repository 🤗https://huggingface.co/Daemontatox/Research_PathfinderAI 
Model Size1.5b
Required VRAM3.5 GB
Updated2025-02-26
MaintainerDaemontatox
Model Typeqwen2
Model Files  3.5 GB   3.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Research PathfinderAI (Daemontatox/Research_PathfinderAI)

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Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Research_PathfinderAI.

Rank the Research PathfinderAI Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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