Mistral Large Instruct 2407 FP8 by alpindale

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Mistral Large Instruct 2407 FP8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Large Instruct 2407 FP8 Parameters and Internals

LLM NameMistral Large Instruct 2407 FP8
Repository ๐Ÿค—https://huggingface.co/alpindale/Mistral-Large-Instruct-2407-FP8 
Base Model(s)  Mistral Large Instruct 2407   mistralai/Mistral-Large-Instruct-2407
Model Size122.6b
Required VRAM123.6 GB
Updated2024-10-16
Maintaineralpindale
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-26   4.8 GB: 2-of-26   4.9 GB: 3-of-26   4.8 GB: 4-of-26   4.9 GB: 5-of-26   4.8 GB: 6-of-26   4.9 GB: 7-of-26   4.8 GB: 8-of-26   4.9 GB: 9-of-26   4.8 GB: 10-of-26   4.9 GB: 11-of-26   4.8 GB: 12-of-26   4.9 GB: 13-of-26   4.8 GB: 14-of-26   4.9 GB: 15-of-26   4.8 GB: 16-of-26   4.9 GB: 17-of-26   4.8 GB: 18-of-26   4.9 GB: 19-of-26   4.8 GB: 20-of-26   4.9 GB: 21-of-26   4.8 GB: 22-of-26   4.9 GB: 23-of-26   4.8 GB: 24-of-26   4.9 GB: 25-of-26   2.2 GB: 26-of-26
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16
Mistral Large Instruct 2407 FP8 (alpindale/Mistral-Large-Instruct-2407-FP8)

Best Alternatives to Mistral Large Instruct 2407 FP8

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Mistral Large Instruct 2407128K / 226.7 GB17563764
Mistral Large Instruct 240732K / 226.7 GB3822
Note: green Score (e.g. "73.2") means that the model is better than alpindale/Mistral-Large-Instruct-2407-FP8.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803