Qwen2 1.5B SFT 16bit Alpha by MatthewsFace

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  16bit   Autotrain compatible Base model:finetune:matthewsfa... Base model:matthewsface/qwen2-...   Conversational   En   Endpoints compatible   Pytorch   Quantized   Qwen2   Region:us   Sft   Trl   Unsloth

Qwen2 1.5B SFT 16bit Alpha Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2 1.5B SFT 16bit Alpha Parameters and Internals

LLM NameQwen2 1.5B SFT 16bit Alpha
Repository ๐Ÿค—https://huggingface.co/MatthewsFace/Qwen2-1.5B-SFT-16bit-Alpha 
Base Model(s)  MatthewsFace/Qwen2-1.5B   MatthewsFace/Qwen2-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-09
MaintainerMatthewsFace
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Quantization Type16bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen2 1.5B SFT 16bit Alpha (MatthewsFace/Qwen2-1.5B-SFT-16bit-Alpha)

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Note: green Score (e.g. "73.2") means that the model is better than MatthewsFace/Qwen2-1.5B-SFT-16bit-Alpha.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124