What are the hardware requirements for Qwythos 9B V2 Heretic Abliterated?

Qwythos 9B V2 Heretic Abliterated requires approximately 17.9 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwythos 9B V2 Heretic Abliterated and how large is it?

Qwythos 9B V2 Heretic Abliterated is developed by usermma, a model with 9b 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 Qwythos 9B V2 Heretic Abliterated?

Qwythos 9B V2 Heretic Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwythos 9B V2 Heretic Abliterated by usermma — VRAM 17.9GB, 1024K context

Name: Qwythos 9B V2 Heretic Abliterated
Author: usermma

Qwythos 9B V2 Heretic Abliterated is an open-source language model by usermma. Features: 9b LLM, VRAM: 17.9GB, Context: 1024K, LLM Explorer Score: 0.25.

Abliteration Base model:empero-ai/qwythos-9... Base model:finetune:empero-ai/... En Obliterate Obliteratus Qwen3 5 text Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/usermma/Qwythos-9B-v2-Heretic-Abliterated

Qwythos 9B V2 Heretic Abliterated Parameters and Internals

LLM Name	Qwythos 9B V2 Heretic Abliterated
Repository 🤗	https://huggingface.co/usermma/Qwythos-9B-v2-Heretic-Abliterated
Base Model(s)	Qwythos 9B V2 empero-ai/Qwythos-9B-v2
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-09-21
Maintainer	usermma
Model Type	qwen3_5_text
Model Files	2.0 GB: 1-of-10 2.0 GB: 2-of-10 2.0 GB: 3-of-10 1.9 GB: 4-of-10 2.0 GB: 5-of-10 1.9 GB: 6-of-10 2.0 GB: 7-of-10 2.0 GB: 8-of-10 2.0 GB: 9-of-10 0.1 GB: 10-of-10
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwythos 9B V2 Heretic Abliterated 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 Qwythos 9B V2 Heretic Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
ViAble 1.7 9B	256K / 17.9 GB	1118	3
FlashModel Qwen3.5 9B	256K / 17.9 GB	325	0
...isan Translator V1 Qwen 3.5 9B	256K / 17.9 GB	559	0
Estragon 9B	256K / 17.9 GB	475	0
Hayabusa 9B	256K / 17.4 GB	2531	2
Dot	256K / 17.9 GB	311	1
Carnice 9B	256K / 17.9 GB	358	186
Merlin Agent	256K / 17.9 GB	571	9

Note: green Score (e.g. "73.2") means that the model is better than usermma/Qwythos-9B-v2-Heretic-Abliterated.