What are the hardware requirements for Nenque MoT 0.6B Elite14?

Nenque MoT 0.6B Elite14 requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nenque MoT 0.6B Elite14 and how large is it?

Nenque MoT 0.6B Elite14 is developed by prithivMLmods, 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 Nenque MoT 0.6B Elite14?

Nenque MoT 0.6B Elite14 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nenque MoT 0.6B Elite14 by prithivMLmods — VRAM 1.2GB, 40K context

Name: Nenque MoT 0.6B Elite14
Author: prithivMLmods

Nenque MoT 0.6B Elite14 is an open-source language model by prithivMLmods. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2412.15115 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Code Conversational Dataset:open-r1/mixture-of-tho... En Endpoints compatible Math Moe Qwen3 Region:us Safetensors Stem Trl

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Nenque-MoT-0.6B-Elite14

Nenque MoT 0.6B Elite14 Parameters and Internals

LLM Name	Nenque MoT 0.6B Elite14
Repository 🤗	https://huggingface.co/prithivMLmods/Nenque-MoT-0.6B-Elite14
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-06
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Nenque MoT 0.6B Elite14 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 Nenque MoT 0.6B Elite14

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Meridian Ac Nano	40K / 1.2 GB	493	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	163	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Nenque-MoT-0.6B-Elite14.