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Mistral 7B Grok by HuggingFaceH4

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

Mistral 7B Grok Benchmarks

ARC: 58.7 vs 96.7 (so35)-39.3%
HellaSwag: 81.88 vs 95.3 (gpt4)-14.1%
MMLU: 61.55 vs 88.3 (so35)-30.3%
TruthfulQA: 42.07 vs 59 (gpt4)-28.7%
WinoGrande: 77.66 vs 87.5 (gpt4)-11.2%
GSM8K: 34.34 vs 96.4 (so35)-64.4%
LLME Score: 0.24674
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B Grok Parameters and Internals

LLM NameMistral 7B Grok
Repository 🤗https://huggingface.co/HuggingFaceH4/mistral-7b-grok 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-09-19
MaintainerHuggingFaceH4
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
Mistral 7B Grok (HuggingFaceH4/mistral-7b-grok)

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Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceH4/mistral-7b-grok.

Rank the Mistral 7B Grok Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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