Qwen2 0.5B Assamese V0.2.2 by tamang0000

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

Qwen2 0.5B Assamese V0.2.2 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 V0.2.2 (tamang0000/Qwen2-0.5b-assamese-v0.2.2)
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Qwen2 0.5B Assamese V0.2.2 Parameters and Internals

LLM NameQwen2 0.5B Assamese V0.2.2
Repository ๐Ÿค—https://huggingface.co/tamang0000/Qwen2-0.5b-assamese-v0.2.2 
Base Model(s)  unsloth/qwen2-0.5b-bnb-4bit   unsloth/qwen2-0.5b-bnb-4bit
Model Size0.5b
Required VRAM1 GB
Updated2025-07-02
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-v0.2.2.

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124