What are the hardware requirements for Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd?

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd requires approximately 15 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd and how large is it?

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd is developed by mremila, a model with 7b 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 Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd?

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd by mremila — VRAM 15GB, 32K context

Name: Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd
Author: mremila

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd is an open-source language model by mremila. Features: 7b LLM, VRAM: 15GB, Context: 32K, License: mit, LLM Explorer Score: 0.28.

Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy... Conversational Endpoints compatible Mistral Npo Region:us Safetensors Tamper-resistance Unlearning Weight-distance Wmdp

Model Card on HF 🤗: https://huggingface.co/mremila/z7b-wmdp-bio__5pp__unlearn-fft-npo-wd

Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd Parameters and Internals

LLM Name	Z7b Wmdp Bio 5pp Unlearn Fft Npo Wd
Repository 🤗	https://huggingface.co/mremila/z7b-wmdp-bio__5pp__unlearn-fft-npo-wd
Base Model(s)	Zephyr 7B Beta HuggingFaceH4/zephyr-7b-beta
Model Size	7b
Required VRAM	15 GB
Updated	2026-10-22
Maintainer	mremila
Model Type	mistral
Model Files	15.0 GB
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32000

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