What are the hardware requirements for Self Correct Mistral Small It MMQA DPO Iter1?

Self Correct Mistral Small It MMQA DPO Iter1 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 Iter1 and how large is it?

Self Correct Mistral Small It MMQA DPO Iter1 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 Iter1?

Self Correct Mistral Small It MMQA DPO Iter1 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 Iter1 by RyanYr — VRAM 44.7GB, 32K context

Name: Self Correct Mistral Small It MMQA DPO Iter1
Author: RyanYr

Self Correct Mistral Small It MMQA DPO Iter1 is an open-source language model by RyanYr. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2305.18290 Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-s... 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_mistral-small-it_mMQA_dpo_iter1

Self Correct Mistral Small It MMQA DPO Iter1 Parameters and Internals

LLM Name	Self Correct Mistral Small It MMQA DPO Iter1
Repository 🤗	https://huggingface.co/RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter1
Model Name	self-correct_mistral-small-it_mMQA_dpo_iter1
Base Model(s)	Mistral Small Instruct 2409 mistralai/Mistral-Small-Instruct-2409
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2025-08-18
Maintainer	RyanYr
Model Type	mistral
Instruction-Based	Yes
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

Rank the Self Correct Mistral Small It MMQA DPO Iter1 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Self Correct Mistral Small It MMQA DPO Iter1

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Small Instruct 2409	128K / 44.7 GB	32	8
...lect MistralSmallit MMQA Iter1	32K / 44.7 GB	36	0
...ct MistralSmallit Mg DPO Iter1	32K / 60.8 GB	38	0
MS Sunfall V0.7.0	32K / 44.7 GB	3	12
...mall Instruct 2409 Abliterated	32K / 44.7 GB	10	4
MistralSmall1500CTXDummy	32K / 44.7 GB	14	0
MistralSmall1500CTX	32K / 44.7 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_mistral-small-it_mMQA_dpo_iter1.