What are the hardware requirements for Llama 2 16B Nastychat?

Llama 2 16B Nastychat requires approximately 32.4 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 Llama 2 16B Nastychat and how large is it?

Llama 2 16B Nastychat is developed by chargoddard, a model with 16b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 2 16B Nastychat perform on standard benchmarks?

Llama 2 16B Nastychat has the following published scores: MMLU 55.99. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 2 16B Nastychat by chargoddard — VRAM 32.4GB, 4K context

Name: Llama 2 16B Nastychat
Author: chargoddard

Llama 2 16B Nastychat is an open-source language model by chargoddard. Features: 16b LLM, VRAM: 32.4GB, Context: 4K, LLM Explorer Score: 0.12, Arc: 57.4, HellaSwag: 80.6, MMLU: 56, GSM8K: 8.1.

Autotrain compatible Endpoints compatible Llama Not-for-all-audiences Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chargoddard/llama-2-16b-nastychat

Llama 2 16B Nastychat Parameters and Internals

LLM Name	Llama 2 16B Nastychat
Repository 🤗	https://huggingface.co/chargoddard/llama-2-16b-nastychat
Model Size	16b
Required VRAM	32.4 GB
Updated	2025-09-23
Maintainer	chargoddard
Model Type	llama
Model Files	9.9 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 2.7 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.1
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 Llama 2 16B Nastychat capabilities

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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 chargoddard/llama-2-16b-nastychat.