What are the hardware requirements for Self Correct Mistral Small It MMQA DPO Iter3?

Self Correct Mistral Small It MMQA DPO Iter3 requires approximately 44.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Self Correct Mistral Small It MMQA DPO Iter3 and how large is it?

Self Correct Mistral Small It MMQA DPO Iter3 is developed by RyanYr, a model with 22.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Self Correct Mistral Small It MMQA DPO Iter3?

Self Correct Mistral Small It MMQA DPO Iter3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Self Correct Mistral Small It MMQA DPO Iter3 by RyanYr — VRAM 44.7GB, 32K context

Name: Self Correct Mistral Small It MMQA DPO Iter3
Author: RyanYr

Self Correct Mistral Small It MMQA DPO Iter3 is an open-source language model by RyanYr. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, LLM Explorer Score: 0.15.

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

Model Card on HF 🤗: https://huggingface.co/RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter3

Self Correct Mistral Small It MMQA DPO Iter3 Parameters and Internals

LLM Name	Self Correct Mistral Small It MMQA DPO Iter3
Repository 🤗	https://huggingface.co/RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter3
Model Name	self-correct_mistral-small-it_mMQA_dpo_iter3
Base Model(s)	...istral Small It MMQA DPO Iter2 RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter2
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2025-09-23
Maintainer	RyanYr
Model Type	mistral
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 Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32769
Torch Data Type	bfloat16

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Best Alternatives to Self Correct Mistral Small It MMQA DPO Iter3

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Small Instruct 2409	128K / 44.7 GB	32	8
Mistral Small NovusKyver	128K / 44.7 GB	2	4
WizardLM 2 22B RP	64K / 44.7 GB	9	5
Dolphin 2.9.1 Mistral 22B	64K / 44.7 GB	2	2
...Iteration Kto 300sm 3ep Merged	32K / 44.7 GB	8	0
...ct MistralSmallit Mg DPO Iter2	32K / 44.7 GB	52	0
...lect MistralSmallit MMQA Iter1	32K / 44.7 GB	36	0
...ct MistralSmallit Mg DPO Iter1	32K / 60.8 GB	38	0
...istral Small It MMQA DPO Iter5	32K / 44.7 GB	56	0
...istral Small It MMQA DPO Iter4	32K / 44.7 GB	45	0

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter3.