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Zephyr 7B Beta AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Zephyr 7B Beta AWQ   URL Share it on

  32195   
  Arxiv:2305.18290   Arxiv:2310.16944   4-bit   Autotrain compatible   Awq Base model:huggingfaceh4/zephy... Base model:quantized:huggingfa...   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Generated from trainer   Mistral   Quantized   Region:us   Safetensors

Zephyr 7B Beta AWQ Benchmarks

LLME Score: 0.21028
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr 7B Beta AWQ Parameters and Internals

Model Type 
GPT-like
Use Cases 
Primary Use Cases:
Chat
Limitations:
Generate problematic text when prompted
Additional Notes 
AWQ quantization is used to enable efficient GPU inference
Supported Languages 
en (English)
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k, HuggingFaceH4/ultrafeedback_binarized
Methodology:
Direct Preference Optimization (DPO)
Context Length:
4096
Model Architecture:
GPT-like
Input Output 
Input Format:
<|system|> ~~ <|user|> {prompt}~~ <|assistant|>
Accepted Modalities:
text
Output Format:
text
LLM NameZephyr 7B Beta AWQ
Repository 🤗https://huggingface.co/TheBloke/zephyr-7B-beta-AWQ 
Model NameZephyr 7B Beta
Model CreatorHugging Face H4
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Zephyr 7B Beta AWQ (TheBloke/zephyr-7B-beta-AWQ)

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

Rank the Zephyr 7B Beta 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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Release v20241110
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