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Ministral 8B Slerp by allknowingroger

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  Merged Model Base model:finetune:prince-can... Base model:prince-canuma/minis...   Instruct   Mistral   Model-index Prince-canuma/ministral-8b-ins...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/Ministral-8B-slerp 

Ministral 8B Slerp Benchmarks

MMLU Pro: 23.55
GPQA: 8.28
MUSR: 12.4
BBH: 25.2
IFEval: 19.61 vs 88 (so35)-77.7%
LLME Score: 0.26642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ministral 8B Slerp (allknowingroger/Ministral-8B-slerp)

Ministral 8B Slerp Parameters and Internals

LLM NameMinistral 8B Slerp
Repository 🤗https://huggingface.co/allknowingroger/Ministral-8B-slerp 
Base Model(s)  Ministral 8B Instruct 2410 HF   Ministral 8B Instruct 2410 HF   prince-canuma/Ministral-8B-Instruct-2410-HF   prince-canuma/Ministral-8B-Instruct-2410-HF
Merged ModelYes
Model Size8b
Required VRAM29.2 GB
Updated2025-01-13
Maintainerallknowingroger
Model Typemistral
Instruction-BasedYes
Model Files  2.1 GB: 1-of-28   2.1 GB: 2-of-28   1.0 GB: 3-of-28   1.0 GB: 4-of-28   1.0 GB: 5-of-28   0.9 GB: 6-of-28   1.0 GB: 7-of-28   1.0 GB: 8-of-28   1.0 GB: 9-of-28   0.9 GB: 10-of-28   1.0 GB: 11-of-28   1.0 GB: 12-of-28   1.0 GB: 13-of-28   0.9 GB: 14-of-28   1.0 GB: 15-of-28   1.0 GB: 16-of-28   1.0 GB: 17-of-28   0.9 GB: 18-of-28   1.0 GB: 19-of-28   1.0 GB: 20-of-28   1.0 GB: 21-of-28   0.9 GB: 22-of-28   1.0 GB: 23-of-28   1.0 GB: 24-of-28   1.0 GB: 25-of-28   0.9 GB: 26-of-28   1.0 GB: 27-of-28   0.6 GB: 28-of-28
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/Ministral-8B-slerp.

Rank the Ministral 8B Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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