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MilkyLoong Qwen2.5 1.5B Pass2 by Lunzima

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MilkyLoong Qwen2.5 1.5B Pass2 is an open-source language model by Lunzima. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:lunzima/mi... Base model:lunzima/milkyloong-...   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Lunzima/MilkyLoong-Qwen2.5-1.5B-pass2 

MilkyLoong Qwen2.5 1.5B Pass2 Benchmarks

LLME Score: 0.19305
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MilkyLoong Qwen2.5 1.5B Pass2 (Lunzima/MilkyLoong-Qwen2.5-1.5B-pass2)
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MilkyLoong Qwen2.5 1.5B Pass2 Parameters and Internals

LLM NameMilkyLoong Qwen2.5 1.5B Pass2
Repository 🤗https://huggingface.co/Lunzima/MilkyLoong-Qwen2.5-1.5B-pass2 
Base Model(s)  Lunzima/MilkyLoong-Qwen2.5-1.5B-pass1   Lunzima/MilkyLoong-Qwen2.5-1.5B-pass1
Model Size1.5b
Required VRAM3.1 GB
Updated2025-09-23
MaintainerLunzima
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
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 Lunzima/MilkyLoong-Qwen2.5-1.5B-pass2.

Rank the MilkyLoong Qwen2.5 1.5B Pass2 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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