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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
Model Card on HF 🤗: https://huggingface.co/krish10/qwen2_0.5B_16bit 

Qwen2 0.5B 16bit Benchmarks

LLME Score: 0.21549
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 🤗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

Best Alternatives to Qwen2 0.5B 16bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 0.5B Instruct Bnb 4bit32K / 0.5 GB180712
TinySphinx32K / 1 GB340
Acrux 500M O1 Journey32K / 1 GB2158
... Instruct Unsloth Merged 16bit32K / 1.3 GB622
... Instruct Unsloth Merged 16bit32K / 1.3 GB131
... Instruct Unsloth Merged 16bit32K / 1.3 GB101
... Instruct Unsloth Merged 16bit32K / 1.3 GB51
...en2.5 Coder 0.5B Instruct 4bit32K / 0.3 GB1992
Qwen2 0.5B Instruct Bnb 4bit32K / 0.5 GB40714
Qwen2.5 0.5B Instruct 4bit32K / 0.3 GB1672
Note: green Score (e.g. "73.2") means that the model is better than krish10/qwen2_0.5B_16bit.

Rank the Qwen2 0.5B 16bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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