What are the hardware requirements for LLama 3.1 8B Janus Abliterated V2 Base And GGUF?

LLama 3.1 8B Janus Abliterated V2 Base And GGUF requires approximately 16.1 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 LLama 3.1 8B Janus Abliterated V2 Base And GGUF and how large is it?

LLama 3.1 8B Janus Abliterated V2 Base And GGUF is developed by SOMEHOTMEAL, 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 LLama 3.1 8B Janus Abliterated V2 Base And GGUF?

LLama 3.1 8B Janus Abliterated V2 Base And GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLama 3.1 8B Janus Abliterated V2 Base And GGUF by SOMEHOTMEAL — VRAM 16.1GB, 128K context

Name: LLama 3.1 8B Janus Abliterated V2 Base And GGUF
Author: SOMEHOTMEAL

LLama 3.1 8B Janus Abliterated V2 Base And GGUF is an open-source language model by SOMEHOTMEAL. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.32.

Merged Model Base model:aifeifei798/darkido... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Fp16 Gguf Instruct Llama Q2 Q8 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SOMEHOTMEAL/LLama-3.1-8B-Janus-Abliterated-V2-Base_And_GGUF

LLama 3.1 8B Janus Abliterated V2 Base And GGUF Parameters and Internals

LLM Name	LLama 3.1 8B Janus Abliterated V2 Base And GGUF
Repository 🤗	https://huggingface.co/SOMEHOTMEAL/LLama-3.1-8B-Janus-Abliterated-V2-Base_And_GGUF
Base Model(s)	aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored meta-llama/Llama-3.1-8B-Instruct aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored meta-llama/Llama-3.1-8B-Instruct
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-16
Maintainer	SOMEHOTMEAL
Model Type	llama
Instruction-Based	Yes
Model Files	3.2 GB 4.9 GB 6.6 GB 8.5 GB 16.1 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q2\|q8_0\|q4_k
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.5.3
Tokenizer Class	TokenizersBackend
Vocabulary Size	128256

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
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