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Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter3 Lr1e 7 by RyanYr

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  Arxiv:2305.18290   Autotrain compatible Base model:finetune:ryanyr/sel... Base model:ryanyr/self-correct...   Conversational   Dpo   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter3_lr1e-7 

Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter3 Lr1e 7 Benchmarks

LLME Score: 0.23821
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter3 Lr1e 7 (RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter3_lr1e-7)

Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter3 Lr1e 7 Parameters and Internals

LLM NameSelf Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter3 Lr1e 7
Repository 🤗https://huggingface.co/RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter3_lr1e-7 
Model Nameself-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter3_lr1e-7
Base Model(s)  ...ruct 2410 MetaMathQA DPO Iter2   RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter2
Model Size8b
Required VRAM16.1 GB
Updated2024-11-15
MaintainerRyanYr
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size131073
Torch Data Typebfloat16

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Ministral 8B Instruct 2410 HF32K / 32 GB3457410
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Ministral 8B Slerp32K / 29.2 GB130
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...t Ministral8Bit MMQA DPO Iter132K / 60.8 GB890
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...t Ministral8Bit MMQA DPO Iter132K / 16.1 GB420
Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter3_lr1e-7.

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Release v20241227
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