What are the hardware requirements for Llama2 13B Supercot Loras2?

Llama2 13B Supercot Loras2 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama2 13B Supercot Loras2 and how large is it?

Llama2 13B Supercot Loras2 is developed by ausboss, 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 Llama2 13B Supercot Loras2?

Llama2 13B Supercot Loras2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 13B Supercot Loras2 by ausboss — VRAM 0.1GB

Name: Llama2 13B Supercot Loras2
Author: ausboss

Llama2 13B Supercot Loras2 is an open-source language model by ausboss. Features: 13b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.09.

4-bit Bitsandbytes Endpoints compatible Llama Lora Region:us Tensorboard

Model Card on HF 🤗: https://huggingface.co/ausboss/llama2-13b-supercot-loras2

Llama2 13B Supercot Loras2 Parameters and Internals

Model Type

LlamaForCausalLM

Additional Notes

The model was trained using QLora on the SuperCOT Dataset. The training parameters can be found [here](https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/examples/llama-2/qlora.yml).

Training Details

Data Sources:

kaiokendev/SuperCOT-dataset

Methodology:

QLora

Context Length:

4096

Model Architecture:

Llama-2-13b

LLM Name	Llama2 13B Supercot Loras2
Repository 🤗	https://huggingface.co/ausboss/llama2-13b-supercot-loras2
Model Size	13b
Required VRAM	0.1 GB
Updated	2026-05-22
Maintainer	ausboss
Model Files	0.1 GB
Model Architecture	AutoModelForCausalLM
Is Biased	none
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|q_proj\|down_proj\|o_proj\|v_proj\|k_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	8

Rank the Llama2 13B Supercot Loras2 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

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ALMA 13B R	0K / 26 GB	8766	82
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...ama2 13B No Robots Alpaca Lora	0K / 4 GB	58	11
Llava V1.5 13B S2 Lora	0K / 0.1 GB	9	2
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Llava Chart 13b Lora	0K / 0.1 GB	4	2
ChartLlama 13B	0K / 0.1 GB	11	20
Orca 2 13B Pygmalion LoRA	0K / 0.5 GB	12	2
Leyley 13B Lora	0K / 4 GB	4	4
GTS Lewd 13B V0.2	0K / 52.3 GB	4	1

Note: green Score (e.g. "73.2") means that the model is better than ausboss/llama2-13b-supercot-loras2.