What are the hardware requirements for Self Reflect MistralSmallit Mg DPO Iter2?

Self Reflect MistralSmallit Mg DPO Iter2 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 Reflect MistralSmallit Mg DPO Iter2 and how large is it?

Self Reflect MistralSmallit Mg DPO Iter2 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 Reflect MistralSmallit Mg DPO Iter2?

Self Reflect MistralSmallit Mg DPO Iter2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Self Reflect MistralSmallit Mg DPO Iter2 by RyanYr — VRAM 44.7GB, 32K context

Name: Self Reflect MistralSmallit Mg DPO Iter2
Author: RyanYr

Self Reflect MistralSmallit Mg DPO Iter2 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-reflect... Conversational Dpo Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/RyanYr/self-reflect_mistralSmallit_mg_dpo_iter2

Self Reflect MistralSmallit Mg DPO Iter2 Parameters and Internals

LLM Name	Self Reflect MistralSmallit Mg DPO Iter2
Repository 🤗	https://huggingface.co/RyanYr/self-reflect_mistralSmallit_mg_dpo_iter2
Model Name	self-reflect_mistralSmallit_mg_dpo_iter2
Base Model(s)	...ct MistralSmallit Mg DPO Iter1 RyanYr/self-reflect_mistralSmallit_mg_dpo_iter1
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2024-11-15
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

Rank the Self Reflect MistralSmallit Mg DPO Iter2 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
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Self Reflect MistralSmallit Mg DPO Iter2

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
...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
...istral Small It MMQA DPO Iter2	32K / 60.8 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-reflect_mistralSmallit_mg_dpo_iter2.