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Qwen2.5 1.5B Sft Raft Grpo Hra Doc by hatemmahmoud

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Qwen2.5 1.5B Sft Raft Grpo Hra Doc is an open-source language model by hatemmahmoud. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.23.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc 

Qwen2.5 1.5B Sft Raft Grpo Hra Doc Benchmarks

MMLU Pro: 19.73
GPQA: 2.35
MUSR: 3.39
BBH: 19.81
IFEval: 41.96 vs 88 (so35)-52.3%
MATH Lvl 5: 21.75
LLME Score: 0.23399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Sft Raft Grpo Hra Doc (hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc)
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Qwen2.5 1.5B Sft Raft Grpo Hra Doc Parameters and Internals

LLM NameQwen2.5 1.5B Sft Raft Grpo Hra Doc
Repository 🤗https://huggingface.co/hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-07
Maintainerhatemmahmoud
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than hatemmahmoud/qwen2.5-1.5b-sft-raft-grpo-hra-doc.

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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  
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