What are the hardware requirements for Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2?

Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2 requires approximately 7.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2?

Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2 by RyanYr — VRAM 7.2GB, 128K context

Name: Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2
Author: RyanYr

Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2 is an open-source language model by RyanYr. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Instruction-Based, 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 Instruct Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2

Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2 Parameters and Internals

LLM Name	Self Correct Llama 3.2 3B Instruct MetaMathQA DPO Iter2
Repository 🤗	https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2
Model Name	self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2
Base Model(s)	RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter1 RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter1
Model Size	3b
Required VRAM	7.2 GB
Updated	2024-11-15
Maintainer	RyanYr
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
Vocabulary Size	128257
Torch Data Type	bfloat16

Rank the Self Correct Llama 3.2 3B Instruct MetaMathQA 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
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Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
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Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
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ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.