What are the hardware requirements for Qwen3 0.6B Abliterated TIES?

Qwen3 0.6B Abliterated TIES requires approximately 1.2 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 Qwen3 0.6B Abliterated TIES and how large is it?

Qwen3 0.6B Abliterated TIES is developed by nbeerbower, a model with 0.6b 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 Qwen3 0.6B Abliterated TIES?

Qwen3 0.6B Abliterated TIES is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 0.6B Abliterated TIES by nbeerbower — VRAM 1.2GB, 32K context

Name: Qwen3 0.6B Abliterated TIES
Author: nbeerbower

Qwen3 0.6B Abliterated TIES is an open-source language model by nbeerbower. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2306.01708 Base model:huihui-ai/qwen3-0.6... Base model:qwen/qwen3-0.6b-bas... Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Qwen3-0.6B-abliterated-TIES

Qwen3 0.6B Abliterated TIES Parameters and Internals

LLM Name	Qwen3 0.6B Abliterated TIES
Repository 🤗	https://huggingface.co/nbeerbower/Qwen3-0.6B-abliterated-TIES
Base Model(s)	huihui-ai/Qwen3-0.6B-abliterated Qwen/Qwen3-0.6B-Base huihui-ai/Qwen3-0.6B-abliterated Qwen/Qwen3-0.6B-Base
Merged Model	Yes
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-05-19
Maintainer	nbeerbower
Model Type	qwen3
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 0.6B Abliterated TIES 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

Best Alternatives to Qwen3 0.6B Abliterated TIES

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Meridian Ac Nano	40K / 1.2 GB	468	1
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Quipu 0.6B	40K / 1.2 GB	351	4
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Clary 0.6 0.6B	40K / 1.2 GB	161	1
Qwen3 0.6B	40K / 1.5 GB	88	1

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Qwen3-0.6B-abliterated-TIES.