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Zephyr 7B Sft Full by alignment-handbook

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  Alignment-handbook   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/ultracha...   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl

Zephyr 7B Sft Full Benchmarks

ARC: 58.11 vs 96.7 (so35)-39.9%
HellaSwag: 80.83 vs 95.3 (gpt4)-15.2%
MMLU: 60.2 vs 88.3 (so35)-31.8%
TruthfulQA: 41.74 vs 59 (gpt4)-29.3%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 27.98 vs 96.4 (so35)-71%
LLME Score: 0.25882
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr 7B Sft Full Parameters and Internals

LLM NameZephyr 7B Sft Full
Repository 🤗https://huggingface.co/alignment-handbook/zephyr-7b-sft-full 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintaineralignment-handbook
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Zephyr 7B Sft Full (alignment-handbook/zephyr-7b-sft-full)

Quantized Models of the Zephyr 7B Sft Full

Model
Likes
Downloads
VRAM
Zephyr 7B Sft Full GGUF01192 GB
Notus 7B V1.8.0bpw H8 EXL22147 GB

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Note: green Score (e.g. "73.2") means that the model is better than alignment-handbook/zephyr-7b-sft-full.

Rank the Zephyr 7B Sft Full 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
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