Who developed Aira 2 355M and how large is it?

Aira 2 355M is developed by nicholasKluge, a model with 355m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Aira 2 355M perform on standard benchmarks?

Aira 2 355M has the following published scores: MMLU 27.26. Compare against reference models on this page or on the LLM Explorer leaderboards.

Aira 2 355M by nicholasKluge

Name: Aira 2 355M
Author: nicholasKluge

Aira 2 355M is an open-source language model by nicholasKluge. Features: 355m LLM, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13, Arc: 27.6, HellaSwag: 38.9, MMLU: 27.3.

Arxiv:1803.05457 Arxiv:2109.07958 Arxiv:2203.09509 Alignment Assistant Base model:finetune:openai-com... Base model:openai-community/gp... Co2 eq emissions Conversation Dataset:nicholaskluge/instruct... En Endpoints compatible Gpt2 Instruct Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nicholasKluge/Aira-2-355M

Aira 2 355M Benchmarks

ARC: 27.56 vs 96.7 (so35)^-71.5%

HellaSwag: 38.92 vs 95.3 (gpt4)^-59.2%

MMLU: 27.26 vs 88.3 (so35)^-69.1%

LLME Score: 0.13041

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Aira 2 355M Parameters and Internals

Model Type

text generation, instruction tuned, conversation, assistant

Use Cases

Areas:

research, commercial applications

Applications:

instruction following, text generation, virtual assistance

Primary Use Cases:

interactive dialogues, instruction response

Limitations:

May produce hallucinations, biases, toxic content, Repetition and verbosity issues

Supported Languages

English (Primary)

Training Details

Data Sources:

Instruct-Aira Dataset

Methodology:

fine-tuning

Hardware Used:

1 NVIDIA A100-SXM4-40GB

Input Output

Input Format:

Use special tokens <|startofinstruction|>, <|endofinstruction|>

Accepted Modalities:

text

Output Format:

Generated text response

Performance Tips:

Avoid repetition penalty set to a low value to prevent loops

LLM Name	Aira 2 355M
Repository 🤗	https://huggingface.co/nicholasKluge/Aira-2-355M
Base Model(s)	gpt2-medium /gpt2-medium
Model Size	355m
Required VRAM	0 GB
Updated	2026-05-10
Maintainer	nicholasKluge
Model Type	gpt2
Instruction-Based	Yes
Model Files	1.4 GB 1.0 GB 1.4 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.33.1
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|startofinstruction\|>
End of Sentence Token	<\|endofcompletion\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50261
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Best Alternatives to Aira 2 355M

Best Alternatives	Context / RAM	Downloads	Likes
SSH 355M	0K / 1.4 GB	262	0

Note: green Score (e.g. "73.2") means that the model is better than nicholasKluge/Aira-2-355M.

Rank the Aira 2 355M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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