Tiny Qwen2ForCausalLM 2.5 by trl-internal-testing

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Tiny Qwen2ForCausalLM 2.5 is an open-source language model by trl-internal-testing. Features: 2.4m LLM, Context: 32K, LLM Explorer Score: 0.3.

  Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Trl

Tiny Qwen2ForCausalLM 2.5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tiny Qwen2ForCausalLM 2.5 Parameters and Internals

LLM NameTiny Qwen2ForCausalLM 2.5
Repository 🤗https://huggingface.co/trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 
Model Size2.4m
Required VRAM0 GB
Updated2026-05-14
Maintainertrl-internal-testing
Model Typeqwen2
Model Files  0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat32
Errorsreplace

Rank the Tiny Qwen2ForCausalLM 2.5 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