What are the hardware requirements for Llama3.1 Daredevilish?

Llama3.1 Daredevilish requires approximately 16 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3.1 Daredevilish and how large is it?

Llama3.1 Daredevilish is developed by agentlans, a model with 8b 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 Llama3.1 Daredevilish?

Llama3.1 Daredevilish is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.1 Daredevilish by agentlans — VRAM 16GB, 128K context

Name: Llama3.1 Daredevilish
Author: agentlans

Llama3.1 Daredevilish is an open-source language model by agentlans. Features: 8b LLM, VRAM: 16GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.23.

Base model:dreadpoor/lemonp-8b... Base model:etherll/superhermes Base model:jaspionjader/f-2-8b Base model:merge:dreadpoor/lem... Base model:merge:etherll/super... Base model:merge:jaspionjader/... Base model:merge:meta-llama/ll... Base model:merge:youlln/1param... Base model:meta-llama/llama-3.... Base model:youlln/1parammyl-8b... Dataset:agentlans/crash-course Llama Merge Mergekit Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/agentlans/Llama3.1-Daredevilish

Llama3.1 Daredevilish Parameters and Internals

LLM Name	Llama3.1 Daredevilish
Repository 🤗	https://huggingface.co/agentlans/Llama3.1-Daredevilish
Base Model(s)	LemonP 8B Model Stock 1PARAMMYL 8B ModelStock F 2 8B SuperHermes meta-llama/Llama-3.1-8B DreadPoor/LemonP-8B-Model_Stock Youlln/1PARAMMYL-8B-ModelStock jaspionjader/f-2-8b Etherll/SuperHermes meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-01
Maintainer	agentlans
Model Type	llama
Model Files	3.0 GB: 1-of-6 2.9 GB: 2-of-6 3.0 GB: 3-of-6 2.9 GB: 4-of-6 2.9 GB: 5-of-6 1.3 GB: 6-of-6
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.1 Daredevilish 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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