Qwen2 0.5B Assamese V0.2.1 by tamang0000

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Qwen2 0.5B Assamese V0.2.1 is an open-source language model by tamang0000. Features: 0.5b LLM, VRAM: 1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4bit   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth

Qwen2 0.5B Assamese V0.2.1 Benchmarks

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

Qwen2 0.5B Assamese V0.2.1 Parameters and Internals

LLM NameQwen2 0.5B Assamese V0.2.1
Repository 🤗https://huggingface.co/tamang0000/Qwen2-0.5b-assamese-v0.2.1 
Base Model(s)  unsloth/qwen2-0.5b-bnb-4bit   unsloth/qwen2-0.5b-bnb-4bit
Model Size0.5b
Required VRAM1 GB
Updated2026-05-20
Maintainertamang0000
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than tamang0000/Qwen2-0.5b-assamese-v0.2.1.

Rank the Qwen2 0.5B Assamese V0.2.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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