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Qwama 0.5B Instruct by turboderp

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/turboderp/Qwama-0.5B-Instruct 

Qwama 0.5B Instruct Benchmarks

LLME Score: 0.25969
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwama 0.5B Instruct (turboderp/Qwama-0.5B-Instruct)

Qwama 0.5B Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
Qwama-0.5B-Instruct is a draft model using the Llama-3 vocabulary, intended to be a lighter alternative for drafting purposes and exploring vocabulary swap feasibility.
Training Details 
Data Sources:
Common Crawl sample, Llama3-8B-Instruct completions
Data Volume:
2.41 million rows from Common Crawl + 3 epochs on 25000 completions
Methodology:
Finetuning post vocabulary swap
LLM NameQwama 0.5B Instruct
Repository 🤗https://huggingface.co/turboderp/Qwama-0.5B-Instruct 
Model Size0.5b
Required VRAM0.9 GB
Updated2024-12-21
Maintainerturboderp
Model Typeqwen2
Instruction-BasedYes
Model Files  0.9 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than turboderp/Qwama-0.5B-Instruct.

Rank the Qwama 0.5B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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