What are the hardware requirements for A15?

A15 requires approximately 16.1 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed A15 and how large is it?

A15 is developed by MrRobotoAI, a model with 8b 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 A15?

A15 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

A15 by MrRobotoAI — VRAM 16.1GB, 1024K context

Name: A15
Author: MrRobotoAI

A15 is an open-source language model by MrRobotoAI. Features: 8b LLM, VRAM: 16.1GB, Context: 1024K, LLM Explorer Score: 0.17.

Arxiv:2203.05482 Autotrain compatible Base model:blackroot/llama-3-l... Base model:merge:blackroot/lla... Base model:merge:mrrobotoai/10... Base model:merge:mrrobotoai/10... Base model:merge:mrrobotoai/11... Base model:merge:mrrobotoai/11... Base model:merge:mrrobotoai/11... Base model:merge:mrrobotoai/11... Base model:merge:mrrobotoai/a1... Base model:mrrobotoai/106 Base model:mrrobotoai/109 Base model:mrrobotoai/110 Base model:mrrobotoai/111 Base model:mrrobotoai/116 Base model:mrrobotoai/117 Base model:mrrobotoai/a15 Conversational Endpoints compatible Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MrRobotoAI/A15

A15 Parameters and Internals

LLM Name	A15
Repository 🤗	https://huggingface.co/MrRobotoAI/A15
Base Model(s)	229 MrRobotoAI/246 MrRobotoAI/249 Llama 3 LongStory LORA 212 MrRobotoAI/248 237 227 233 236 240 MrRobotoAI/229 MrRobotoAI/246 MrRobotoAI/249 Blackroot/Llama-3-LongStory-LORA MrRobotoAI/212 MrRobotoAI/248 MrRobotoAI/237 MrRobotoAI/227 MrRobotoAI/233 MrRobotoAI/236 MrRobotoAI/240
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-03-21
Maintainer	MrRobotoAI
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	float16

Rank the A15 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 A15

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than MrRobotoAI/A15.