Qwen2 0.5B 16bit by krish10

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  16bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-0.5b-ins...   Conversational   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Trl   Unsloth

Qwen2 0.5B 16bit 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 16bit (krish10/qwen2_0.5B_16bit)

Qwen2 0.5B 16bit Parameters and Internals

LLM NameQwen2 0.5B 16bit
Repository ๐Ÿค—https://huggingface.co/krish10/qwen2_0.5B_16bit 
Base Model(s)  Qwen/Qwen2-0.5B-Instruct   Qwen/Qwen2-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-09-26
Maintainerkrish10
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Quantization Type16bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than krish10/qwen2_0.5B_16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227