What are the hardware requirements for Aira OPT 350M?

Aira OPT 350M requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aira OPT 350M and how large is it?

Aira OPT 350M is developed by nicholasKluge, 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 Aira OPT 350M?

Aira OPT 350M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aira OPT 350M by nicholasKluge — 2K context

Name: Aira OPT 350M
Author: nicholasKluge

Aira OPT 350M is an open-source language model by nicholasKluge. Features: 350m LLM, Context: 2K, License: other, Instruction-Based, LLM Explorer Score: 0.09.

Arxiv:1803.05457 Arxiv:2109.07958 Arxiv:2203.09509 Alignment Assistant Base model:facebook/opt-350m Base model:finetune:facebook/o... Co2 eq emissions Conversation Dataset:nicholaskluge/instruct... En Endpoints compatible Instruct Opt Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nicholasKluge/Aira-OPT-350M

Aira OPT 350M Parameters and Internals

Model Type

text generation, instruction tuned, conversation, assistant

Additional Notes

The model may produce hallucinations, biases, and get stuck in repetition loops.

Supported Languages

English (fluent)

Training Details

Data Sources:

nicholasKluge/instruct-aira-dataset

Methodology:

Fine-tuning

Hardware Used:

1 NVIDIA A100-SXM4-40GB

Input Output

Input Format:

Special tokens used: <|startofinstruction|>, <|endofinstruction|>, <|endofcompletion|>

Accepted Modalities:

text

Output Format:

Generated text response.

Performance Tips:

No specific tips provided.

LLM Name	Aira OPT 350M
Repository 🤗	https://huggingface.co/nicholasKluge/Aira-OPT-350M
Base Model(s)	Opt 350M facebook/opt-350m
Model Size	350m
Required VRAM	0 GB
Updated	2026-04-27
Maintainer	nicholasKluge
Model Type	opt
Instruction-Based	Yes
Model Files	1.3 GB 2.6 GB 1.3 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	OPTForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	50270
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Aira OPT 350M 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 Aira OPT 350M

Best Alternatives	Context / RAM	Downloads	Likes
Opt 350M Instruct	2K / 1.3 GB	17	4
LongForm OPT 350M	2K / 1.3 GB	9	5
...speed Chat Step2 Model Opt350m	2K / 0.7 GB	4	1
Chat Opt 350M Reward Deepspeed	2K / 0.7 GB	17	7