What are the hardware requirements for 13B Thorns L2?

13B Thorns L2 requires approximately 26 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 13B Thorns L2 and how large is it?

13B Thorns L2 is developed by CalderaAI, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does 13B Thorns L2 perform on standard benchmarks?

13B Thorns L2 has the following published scores: MMLU 56.95. Compare against reference models on this page or on the LLM Explorer leaderboards.

13B Thorns L2 by CalderaAI — VRAM 26GB, 4K context

Name: 13B Thorns L2
Author: CalderaAI

13B Thorns L2 is an open-source language model by CalderaAI. Features: 13b LLM, VRAM: 26GB, Context: 4K, LLM Explorer Score: 0.11, Arc: 62.9, HellaSwag: 83.6, MMLU: 57, GSM8K: 0.9.

Alpaca Cot Endpoints compatible Llama Merge Mix Pytorch Region:us Safetensors Sharded Tensorflow Uncensored Vicuna

Model Card on HF 🤗: https://huggingface.co/CalderaAI/13B-Thorns-l2

13B Thorns L2 Parameters and Internals

Model Type

Instruct-based Ensemble

Additional Notes

This model is a research artifact intended for responsible use. It may generate offensive and misleading content.

Training Details

Methodology:

Spherical Linear Interpolation (SLERP) merging method

LLM Name	13B Thorns L2
Repository 🤗	https://huggingface.co/CalderaAI/13B-Thorns-l2
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-29
Maintainer	CalderaAI
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32032
Torch Data Type	float16

Rank the 13B Thorns L2 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

Quantized Models of the 13B Thorns L2

Model	Likes	Downloads	VRAM
13B Thorns L2 GGUF	2	568	5 GB
13B Thorns L2 AWQ	2	4	7 GB
13B Thorns L2 GPTQ	5	5	7 GB

Best Alternatives to 13B Thorns L2

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 CalderaAI/13B-Thorns-l2.