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1.5B Policy Iteration 4 by AngelRaychev

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  Autotrain compatible Base model:angelraychev/1.5b-p... Base model:finetune:angelraych...   Conversational   Endpoints compatible   Generated from trainer   Pytorch   Qwen2   Region:us   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/AngelRaychev/1.5B-policy-iteration_4 

1.5B Policy Iteration 4 Benchmarks

LLME Score: 0.26434
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
1.5B Policy Iteration 4 (AngelRaychev/1.5B-policy-iteration_4)
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1.5B Policy Iteration 4 Parameters and Internals

LLM Name1.5B Policy Iteration 4
Repository 🤗https://huggingface.co/AngelRaychev/1.5B-policy-iteration_4 
Model Name1.5B-policy-iteration_4
Base Model(s)  AngelRaychev/1.5B-policy-iteration_3   AngelRaychev/1.5B-policy-iteration_3
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-19
MaintainerAngelRaychev
Model Typeqwen2
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AngelRaychev/1.5B-policy-iteration_4.

Rank the 1.5B Policy Iteration 4 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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