What are the hardware requirements for Alpacino SuperCOT 13B?

Alpacino SuperCOT 13B requires approximately 25.9 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 Alpacino SuperCOT 13B and how large is it?

Alpacino SuperCOT 13B is developed by PJMixers-Archive, a model with 13b 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 Alpacino SuperCOT 13B?

Alpacino SuperCOT 13B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpacino SuperCOT 13B by PJMixers-Archive — VRAM 25.9GB, 2K context

Name: Alpacino SuperCOT 13B
Author: PJMixers-Archive

Alpacino SuperCOT 13B is an open-source language model by PJMixers-Archive. Features: 13b LLM, VRAM: 25.9GB, Context: 2K, LLM Explorer Score: 0.07.

Alpaca Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PJMixers-Archive/Alpacino-SuperCOT-13B

Alpacino SuperCOT 13B Parameters and Internals

LLM Name	Alpacino SuperCOT 13B
Repository 🤗	https://huggingface.co/PJMixers-Archive/Alpacino-SuperCOT-13B
Model Size	13b
Required VRAM	25.9 GB
Updated	2026-07-10
Maintainer	PJMixers-Archive
Model Type	llama
Model Files	2.1 GB: 1-of-13 2.0 GB: 2-of-13 2.1 GB: 3-of-13 2.0 GB: 4-of-13 2.0 GB: 5-of-13 2.0 GB: 6-of-13 2.0 GB: 7-of-13 2.1 GB: 8-of-13 2.0 GB: 9-of-13 2.0 GB: 10-of-13 2.0 GB: 11-of-13 2.0 GB: 12-of-13 1.6 GB: 13-of-13 2.1 GB: 1-of-13 2.0 GB: 2-of-13 2.1 GB: 3-of-13 2.0 GB: 4-of-13 2.0 GB: 5-of-13 2.0 GB: 6-of-13 2.0 GB: 7-of-13 2.1 GB: 8-of-13 2.0 GB: 9-of-13 2.0 GB: 10-of-13 2.0 GB: 11-of-13 2.0 GB: 12-of-13 1.6 GB: 13-of-13
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Alpacino SuperCOT 13B 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 Alpacino SuperCOT 13B

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than PJMixers-Archive/Alpacino-SuperCOT-13B.