Self Correct Ministral8Bit MMQA Mix Iter3 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   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl

Self Correct Ministral8Bit MMQA Mix Iter3 Benchmarks

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

Self Correct Ministral8Bit MMQA Mix Iter3 Parameters and Internals

LLM NameSelf Correct Ministral8Bit MMQA Mix Iter3
Repository ๐Ÿค—https://huggingface.co/RyanYr/self-correct_Ministral8Bit_mMQA-mix_iter3 
Model Nameself-correct_Ministral8Bit_mMQA-mix_iter3
Base Model(s)  ...t Ministral8Bit MMQA Mix Iter2   RyanYr/self-correct_Ministral8Bit_mMQA-mix_iter2
Model Size8b
Required VRAM16.1 GB
Updated2024-11-15
MaintainerRyanYr
Model Typemistral
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
Self Correct Ministral8Bit MMQA Mix Iter3 (RyanYr/self-correct_Ministral8Bit_mMQA-mix_iter3)

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Ministrations 8B V132K / 16.1 GB15412
Ministral 8B Instruct 2410 HF32K / 32 GB85310
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Mistral Pro 8B V0.132K / 17.9 GB67366
...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 Iter232K / 16.1 GB430
...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_Ministral8Bit_mMQA-mix_iter3.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110