Self Correct Mistral Small It MMQA DPO Iter5 by RyanYr

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Self Correct Mistral Small It MMQA DPO Iter5 is an open-source language model by RyanYr. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, LLM Explorer Score: 0.16.

  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 Mistral Small It MMQA DPO Iter5 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 Mistral Small It MMQA DPO Iter5 (RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter5)
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Self Correct Mistral Small It MMQA DPO Iter5 Parameters and Internals

LLM NameSelf Correct Mistral Small It MMQA DPO Iter5
Repository ๐Ÿค—https://huggingface.co/RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter5 
Model Nameself-correct_mistral-small-it_mMQA_dpo_iter5
Base Model(s)  ...istral Small It MMQA DPO Iter4   RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter4
Model Size22.2b
Required VRAM44.7 GB
Updated2024-11-15
MaintainerRyanYr
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32769
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter5.

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Release v20260328a