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Ministral 8B Instruct 2410 HF by prince-canuma

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Ministral 8B Instruct 2410 HF Benchmarks

LLME Score: 0.29298
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Ministral 8B Instruct 2410 HF Parameters and Internals

LLM NameMinistral 8B Instruct 2410 HF
Repository 🤗https://huggingface.co/prince-canuma/Ministral-8B-Instruct-2410-HF 
Base Model(s)  Ministral 8B Instruct 2410   mistralai/Ministral-8B-Instruct-2410
Model Size8b
Required VRAM32 GB
Updated2024-11-21
Maintainerprince-canuma
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   4.8 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.8 GB: 7-of-7
Supported Languagesen fr de es it pt zh ja ru ko
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typefloat32
Ministral 8B Instruct 2410 HF (prince-canuma/Ministral-8B-Instruct-2410-HF)

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Ministrations 8B V132K / 16.1 GB15412
...ruct 2410 MetaMathQA DPO Iter132K / 16.1 GB3870
...ect Ministral8Bit Mg DPO Psdp232K / 16.1 GB690
...t Ministral8Bit MMQA DPO Iter132K / 60.8 GB890
...t Ministral8Bit MMQA Mix Iter232K / 16.1 GB1320
...t Ministral8Bit Math DPO Iter132K / 16.1 GB530
...t Ministral8Bit MMQA DPO Iter132K / 16.1 GB420
...ruct 2410 MetaMathQA DPO Iter232K / 16.1 GB780
...10 MetaMathQA DPO Iter4 Lr1e 732K / 16.1 GB480
...10 MetaMathQA DPO Iter5 Lr2e 732K / 16.1 GB440
Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Ministral-8B-Instruct-2410-HF.

Rank the Ministral 8B Instruct 2410 HF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241110
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