Ymail Search Qwen2 0.5B 16bit by kevin36524

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

Ymail Search 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").

Ymail Search Qwen2 0.5B 16bit Parameters and Internals

LLM NameYmail Search Qwen2 0.5B 16bit
Repository ๐Ÿค—https://huggingface.co/kevin36524/ymail_search_qwen2-0.5B-16bit 
Base Model(s)  unsloth/Qwen2-0.5b-bnb-4bit   unsloth/Qwen2-0.5b-bnb-4bit
Model Size0.5b
Required VRAM1 GB
Updated2024-09-06
Maintainerkevin36524
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
Ymail Search Qwen2 0.5B 16bit (kevin36524/ymail_search_qwen2-0.5B-16bit)

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Note: green Score (e.g. "73.2") means that the model is better than kevin36524/ymail_search_qwen2-0.5B-16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803