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BAI Qwen 2.5 1.5B Reasoning by sauravpanda

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Grpo   Instruct   Quantized   Qwen2   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/sauravpanda/BAI-Qwen-2.5-1.5B-reasoning 

BAI Qwen 2.5 1.5B Reasoning Benchmarks

LLME Score: 0.22905
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BAI Qwen 2.5 1.5B Reasoning (sauravpanda/BAI-Qwen-2.5-1.5B-reasoning)
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BAI Qwen 2.5 1.5B Reasoning Parameters and Internals

LLM NameBAI Qwen 2.5 1.5B Reasoning
Repository 🤗https://huggingface.co/sauravpanda/BAI-Qwen-2.5-1.5B-reasoning 
Base Model(s)  unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-24
Maintainersauravpanda
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sauravpanda/BAI-Qwen-2.5-1.5B-reasoning.

Rank the BAI Qwen 2.5 1.5B Reasoning 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 v20241124
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