What are the hardware requirements for Opt Mini Dataset 0?

Opt Mini Dataset 0 requires approximately 0.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Opt Mini Dataset 0 and how large is it?

Opt Mini Dataset 0 is developed by RAY2L, a model with 350m 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 Opt Mini Dataset 0?

Opt Mini Dataset 0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Opt Mini Dataset 0 by RAY2L — VRAM 0.7GB, 2K context

Name: Opt Mini Dataset 0
Author: RAY2L

Opt Mini Dataset 0 is an open-source language model by RAY2L. Features: 350m LLM, VRAM: 0.7GB, Context: 2K, License: other, LLM Explorer Score: 0.13.

Alignment-handbook Base model:facebook/opt-350m Base model:finetune:facebook/o... Dataset:ray2l/llama3-ultrafeed... Endpoints compatible Generated from trainer Opt Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RAY2L/opt-mini-dataset-0

Opt Mini Dataset 0 Parameters and Internals

Training Details

Data Sources:

RAY2L/llama3-ultrafeedback-mini

Methodology:

fine-tuning

LLM Name	Opt Mini Dataset 0
Repository 🤗	https://huggingface.co/RAY2L/opt-mini-dataset-0
Base Model(s)	Opt 350M facebook/opt-350m
Model Size	350m
Required VRAM	0.7 GB
Updated	2026-08-03
Maintainer	RAY2L
Model Type	opt
Model Files	0.7 GB 0.0 GB
Model Architecture	OPTForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	50272
Torch Data Type	bfloat16
Activation Function	relu
Errors	replace

Rank the Opt Mini Dataset 0 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Opt Mini Dataset 0

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Opt 350M	2K / 0.7 GB	198521	149
Facebook Opt 350M SFT Korz14	2K / 0.7 GB	12	0
Temp Model Sft	2K / 1.3 GB	7	0
Gpt350 Chat S V0	2K / 0.7 GB	6	0
Gpt350 Chat S V0 1	2K / 0.7 GB	5	0
Dadjokes Tuned Opt	2K / 1.3 GB	8	2
Pygmalion 350M	2K / 1.3 GB	348	54
Rockyalquimista888	2K / 1.3 GB	8	0
Remedycure	2K / 1.3 GB	6	0
Sunday	2K / 1.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than RAY2L/opt-mini-dataset-0.