What are the hardware requirements for Authormist Originality?

Authormist Originality requires approximately 12.3 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 Authormist Originality and how large is it?

Authormist Originality is developed by authormist, a model with 3b 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 Authormist Originality?

Authormist Originality is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Authormist Originality by authormist — VRAM 12.3GB, 32K context

Name: Authormist Originality
Author: authormist

Authormist Originality is an open-source language model by authormist. Features: 3b LLM, VRAM: 12.3GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.19.

Ai-detection Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:checkgpt En Endpoints compatible Instruct Originality Paraphrasing Privacy Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/authormist/authormist-originality

Authormist Originality Parameters and Internals

LLM Name	Authormist Originality
Repository 🤗	https://huggingface.co/authormist/authormist-originality
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	12.3 GB
Updated	2026-07-06
Maintainer	authormist
Model Type	causal-lm
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 2.4 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Authormist Originality 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 Authormist Originality

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
... Instruct Sheldon RLVR Math V1	32K / 6.2 GB	876	0
Zen Ingress 1 3B Sft Merged	32K / 6.2 GB	713	1
EVOKE ALFWorld 3B	32K / 6.2 GB	247	1
Security Copilot Qwen2.5 3B	32K / 6.2 GB	403	0

Note: green Score (e.g. "73.2") means that the model is better than authormist/authormist-originality.