TeenyTinyLlama 460M AWQ by nicholasKluge

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  Arxiv:2401.16640   4-bit   Autotrain compatible   Awq   Co2 eq emissions Dataset:nicholaskluge/pt-corpu...   Endpoints compatible   Instruct   Llama   Pt   Quantized   Region:us   Safetensors

TeenyTinyLlama 460M AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TeenyTinyLlama 460M AWQ Parameters and Internals

LLM NameTeenyTinyLlama 460M AWQ
Repository ๐Ÿค—https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-awq 
Base Model(s)  TeenyTinyLlama 460M   nicholasKluge/TeenyTinyLlama-460m
Model Size460m
Required VRAM0.3 GB
Updated2024-10-04
MaintainernicholasKluge
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagespt
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32000
Torch Data Typefloat16
TeenyTinyLlama 460M AWQ (nicholasKluge/TeenyTinyLlama-460m-awq)

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Note: green Score (e.g. "73.2") means that the model is better than nicholasKluge/TeenyTinyLlama-460m-awq.

Rank the TeenyTinyLlama 460M AWQ 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 v2024072803