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Zephyr 7B Beta GPTQ by MaziyarPanahi

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  Arxiv:2305.18290   Arxiv:2310.16944   4-bit   Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Finetuned   Generated from trainer   Gptq   Has space   Mistral   Model-index   Pytorch   Quantized   Region:us   Safetensors

Zephyr 7B Beta GPTQ Benchmarks

LLME Score: 0.17986
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 GPTQ Parameters and Internals

LLM NameZephyr 7B Beta GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/zephyr-7b-beta-GPTQ 
Model Namezephyr-7b-beta-GPTQ
Model CreatorHuggingFaceH4
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM4.2 GB
Updated2024-10-18
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Zephyr 7B Beta GPTQ (MaziyarPanahi/zephyr-7b-beta-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/zephyr-7b-beta-GPTQ.

Rank the Zephyr 7B Beta GPTQ 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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