Mistral 7B Zephyr Sft by wandb

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/deita-10...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Zephyr Sft Benchmarks

Mistral 7B Zephyr Sft (wandb/mistral-7b-zephyr-sft)

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 ๐Ÿค—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
Updated2025-02-22
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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Note: green Score (e.g. "73.2") means that the model is better than wandb/mistral-7b-zephyr-sft.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227