What are the hardware requirements for LLaMA2 13B Estopia 3.0bpw H6 EXL2?

LLaMA2 13B Estopia 3.0bpw H6 EXL2 requires approximately 5.2 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 LLaMA2 13B Estopia 3.0bpw H6 EXL2 and how large is it?

LLaMA2 13B Estopia 3.0bpw H6 EXL2 is developed by LoneStriker, 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 Estopia 3.0bpw H6 EXL2?

LLaMA2 13B Estopia 3.0bpw H6 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaMA2 13B Estopia 3.0bpw H6 EXL2 by LoneStriker — VRAM 5.2GB, 4K context

Name: LLaMA2 13B Estopia 3.0bpw H6 EXL2
Author: LoneStriker

LLaMA2 13B Estopia 3.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 13b LLM, VRAM: 5.2GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

Base model:finetune:thebloke/l... Base model:thebloke/llama-2-13... Endpoints compatible Exl2 Fp16 Llama Merge Mergekit Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LoneStriker/LLaMA2-13B-Estopia-3.0bpw-h6-exl2

LLaMA2 13B Estopia 3.0bpw H6 EXL2 Parameters and Internals

Model Type

dialogue, prose, story generation

Use Cases

Primary Use Cases:

guided narratives, storytelling, prose generation

Limitations:

response length may vary, occasional end of sequence token issues

Additional Notes

The model was developed through multiple merging stages, blending various models like UtopiaXL-13B and PygmalionAI/mythalion-13b.

Training Details

Methodology:

merge technique

Input Output

Input Format:

instruction-based prompts

Accepted Modalities:

text

Output Format:

text responses

Performance Tips:

Use suggested settings for optimal results. Adjust temperature and response length as needed.

LLM Name	LLaMA2 13B Estopia 3.0bpw H6 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/LLaMA2-13B-Estopia-3.0bpw-h6-exl2
Base Model(s)	Llama 2 13B Fp16 TheBloke/Llama-2-13B-fp16
Model Size	13b
Required VRAM	5.2 GB
Updated	2026-07-23
Maintainer	LoneStriker
Model Type	llama
Model Files	5.2 GB
Quantization Type	fp16\|exl2
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the LLaMA2 13B Estopia 3.0bpw H6 EXL2 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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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/LLaMA2-13B-Estopia-3.0bpw-h6-exl2.