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Qwen2 0.5B Instruct FP8 by neuralmagic

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Qwen2 0.5B Instruct FP8 Benchmarks

LLME Score: 0.23683
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 Instruct FP8 Parameters and Internals

LLM NameQwen2 0.5B Instruct FP8
Repository 🤗https://huggingface.co/neuralmagic/Qwen2-0.5B-Instruct-FP8 
Model Size0.5b
Required VRAM0.6 GB
Updated2024-10-18
Maintainerneuralmagic
Model Typeqwen2
Instruction-BasedYes
Model Files  0.6 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 0.5B Instruct FP8 (neuralmagic/Qwen2-0.5B-Instruct-FP8)

Quantized Models of the Qwen2 0.5B Instruct FP8

Model
Likes
Downloads
VRAM
Qwen2 0.5B Instruct 4bit1270 GB

Best Alternatives to Qwen2 0.5B Instruct FP8

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 0.5B Abyme Merge3128K / 1.3 GB60
Qwen2 0.5B Abyme Merge2128K / 0.3 GB60
Qwen2.5 0.5B Instruct32K / 1 GB17473976
Qwen2 0.5B Instruct32K / 1 GB294370156
Reasoning 0.5B32K / 1 GB135423
Vikhr Qwen 2.5 0.5B Instruct32K / 1 GB5306
Qwen2.5 0.5B Instruct32K / 1 GB17951
Qwen2.5 0.5B Test Ft32K / 1 GB3954
Replete LLM V2.5 Qwen 0.5B32K / 1.3 GB2022
...n2.5 0.5B Instruct Abliterated32K /  GB300
Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Qwen2-0.5B-Instruct-FP8.

Rank the Qwen2 0.5B Instruct FP8 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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