Zephyr 7B Alpha AWQ by TheBloke

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  Arxiv:2305.18290   4-bit   Autotrain compatible   Awq Base model:huggingfaceh4/zephy... Base model:quantized:huggingfa...   Dataset:openbmb/ultrafeedback   Dataset:stingning/ultrachat   En   Generated from trainer   Mistral   Quantized   Region:us   Safetensors

Zephyr 7B Alpha AWQ Benchmarks

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

Zephyr 7B Alpha AWQ Parameters and Internals

LLM NameZephyr 7B Alpha AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/zephyr-7B-alpha-AWQ 
Model NameZephyr 7B Alpha
Model CreatorHugging Face H4
Base Model(s)  Zephyr 7B Alpha   HuggingFaceH4/zephyr-7b-alpha
Model Size7b
Required VRAM4.2 GB
Updated2024-09-07
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Zephyr 7B Alpha AWQ (TheBloke/zephyr-7B-alpha-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/zephyr-7B-alpha-AWQ.

Rank the Zephyr 7B Alpha 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