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Zephyr Sft by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Unsloth   Zephyr
Model Card on HF 🤗: https://huggingface.co/unsloth/zephyr-sft 

Zephyr Sft Benchmarks

LLME Score: 0.18259
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Sft (unsloth/zephyr-sft)

Zephyr Sft Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
Research, Commercial Applications
Additional Notes 
All notebooks are beginner-friendly, allowing for quick finetuning with added datasets and exporting capabilities.
LLM NameZephyr Sft
Repository 🤗https://huggingface.co/unsloth/zephyr-sft 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-22
Maintainerunsloth
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Zephyr Sft

Model
Likes
Downloads
VRAM
Rezephyr Merged 4bit0844 GB
Zephyr DPO 4bit0794 GB

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/zephyr-sft.

Rank the Zephyr Sft Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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