Human Like Qwen2.5 1.5B Instruct by yasserrmd

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Human Like Qwen2.5 1.5B Instruct is an open-source language model by yasserrmd. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.18.

  Ara   Autotrain   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational Dataset:humanllms/human-like-d...   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Peft   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorboard   Tensorflow   Tha   Vie   Zho

Human Like Qwen2.5 1.5B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Human Like Qwen2.5 1.5B Instruct (yasserrmd/Human-Like-Qwen2.5-1.5B-Instruct)
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Human Like Qwen2.5 1.5B Instruct Parameters and Internals

LLM NameHuman Like Qwen2.5 1.5B Instruct
Repository ๐Ÿค—https://huggingface.co/yasserrmd/Human-Like-Qwen2.5-1.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM6.2 GB
Updated2025-08-18
Maintaineryasserrmd
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than yasserrmd/Human-Like-Qwen2.5-1.5B-Instruct.

Rank the Human Like Qwen2.5 1.5B Instruct 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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Release v20260328a