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Mistral 7B Zephyr Sft by wandb

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Mistral 7B Zephyr Sft is an open-source language model by wandb. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, HF Score: 63.8, LLM Explorer Score: 0.14, Arc: 62.3, HellaSwag: 84.9, MMLU: 62.3, TruthfulQA: 53.1, WinoGrande: 78, GSM8K: 42.2.

  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/deita-10...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wandb/mistral-7b-zephyr-sft 

Mistral 7B Zephyr Sft Benchmarks

ARC: 62.29 vs 96.7 (so35)-35.6%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 62.29 vs 88.3 (so35)-29.5%
TruthfulQA: 53.07 vs 59 (gpt4)-10.1%
WinoGrande: 77.98 vs 87.5 (gpt4)-10.9%
GSM8K: 42.23 vs 96.4 (so35)-56.2%
LLME Score: 0.14035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Zephyr Sft (wandb/mistral-7b-zephyr-sft)
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Mistral 7B Zephyr Sft Parameters and Internals

Model Type 
GPT-like
Supported Languages 
English (Primarily)
Training Details 
Data Sources:
HuggingFaceH4/deita-10k-v0-sft
Methodology:
fine-tuned on a mix of publicly available, synthetic datasets
Hardware Used:
8xA100 80GB node
LLM NameMistral 7B Zephyr Sft
Repository 🤗https://huggingface.co/wandb/mistral-7b-zephyr-sft 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-10-10
Maintainerwandb
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

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Astral 256K 7B V2250K / 14.4 GB50
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Note: green Score (e.g. "73.2") means that the model is better than wandb/mistral-7b-zephyr-sft.

Rank the Mistral 7B Zephyr Sft 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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