What are the hardware requirements for Ophiuchi Qwen3 14B Instruct?

Ophiuchi Qwen3 14B Instruct requires approximately 29.5 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 Ophiuchi Qwen3 14B Instruct and how large is it?

Ophiuchi Qwen3 14B Instruct is developed by prithivMLmods, a model with 14b 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 Ophiuchi Qwen3 14B Instruct?

Ophiuchi Qwen3 14B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ophiuchi Qwen3 14B Instruct by prithivMLmods — VRAM 29.5GB, 40K context

Name: Ophiuchi Qwen3 14B Instruct
Author: prithivMLmods

Ophiuchi Qwen3 14B Instruct is an open-source language model by prithivMLmods. Features: 14b LLM, VRAM: 29.5GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:1904.01557 Arxiv:2309.00071 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-14b Code Conversational Dataset:burtenshaw/tulu-3-sft-... Dataset:deepmind/math dataset Dataset:open-r1/openr1-math-22... En Endpoints compatible Instruct Math Moe Qwen3 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Ophiuchi-Qwen3-14B-Instruct

Ophiuchi Qwen3 14B Instruct Parameters and Internals

LLM Name	Ophiuchi Qwen3 14B Instruct
Repository 🤗	https://huggingface.co/prithivMLmods/Ophiuchi-Qwen3-14B-Instruct
Base Model(s)	Qwen3 14B Qwen/Qwen3-14B
Model Size	14b
Required VRAM	29.5 GB
Updated	2026-07-20
Maintainer	prithivMLmods
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Ophiuchi Qwen3 14B Instruct 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 Ophiuchi Qwen3 14B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...uct 21B Brainstorm20x 128K Ctx	128K / 84.1 GB	8	0
Qwen3 14B Instruct	40K / 29.7 GB	15805	13
Qwen3 14B Sk Alpaca Slovak It	40K / 23.2 GB	67	1
Supertron1 14B	40K / 9.9 GB	87	5
... 14B Instruct LoRA 1310 Merged	40K / 29.5 GB	9	0
...DER Instruct 21B Brainstorm20x	40K / 84.1 GB	12	2
...14B Instruct Wildfeedback Seed	40K / 29.5 GB	6	0
Qwen3 14B Esper3	40K / 59 GB	19	14
Qwen3 14B Cobalt2	40K / 59 GB	15	3
Bee1reason Arabic Qwen 14B	40K / 29.5 GB	584	8

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Ophiuchi-Qwen3-14B-Instruct.