What are the hardware requirements for ToxicMist V0.2 7B DPO Gguf?

ToxicMist V0.2 7B DPO Gguf requires approximately 4.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ToxicMist V0.2 7B DPO Gguf and how large is it?

ToxicMist V0.2 7B DPO Gguf is developed by akaistormherald, 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 ToxicMist V0.2 7B DPO Gguf?

ToxicMist V0.2 7B DPO Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ToxicMist V0.2 7B DPO Gguf by akaistormherald — VRAM 4.1GB

Name: ToxicMist V0.2 7B DPO Gguf
Author: akaistormherald

ToxicMist V0.2 7B DPO Gguf is an open-source language model by akaistormherald. Features: 7b LLM, VRAM: 4.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

4bit Base model:quantized:unsloth/z... Base model:unsloth/zephyr-sft-... Conversational Dataset:unalignment/toxic-dpo-... En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/akaistormherald/ToxicMist-v0.2-7B-DPO-gguf

ToxicMist V0.2 7B DPO Gguf Parameters and Internals

Model Type

text-generation

Supported Languages

en (full)

Training Details

Data Sources:

unalignment/toxic-dpo-v0.2

Methodology:

Mistral7b + SFT + 4bit DPO training

LLM Name	ToxicMist V0.2 7B DPO Gguf
Repository 🤗	https://huggingface.co/akaistormherald/ToxicMist-v0.2-7B-DPO-gguf
Base Model(s)	Zephyr Sft Bnb 4bit unsloth/zephyr-sft-bnb-4bit
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-28
Maintainer	akaistormherald
Model Type	mistral
Model Files	4.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the ToxicMist V0.2 7B DPO Gguf 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

Best Alternatives to ToxicMist V0.2 7B DPO Gguf

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CleverBoi 7B V2	0K / 0.1 GB	586	0
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Note: green Score (e.g. "73.2") means that the model is better than akaistormherald/ToxicMist-v0.2-7B-DPO-gguf.