What are the hardware requirements for Lynx Instruct 30B Qwen3?

Lynx Instruct 30B Qwen3 requires approximately 61.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lynx Instruct 30B Qwen3 and how large is it?

Lynx Instruct 30B Qwen3 is developed by bineric, a model with 30b 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 Lynx Instruct 30B Qwen3?

Lynx Instruct 30B Qwen3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lynx Instruct 30B Qwen3 by bineric — VRAM 61.1GB, 256K context

Name: Lynx Instruct 30B Qwen3
Author: bineric

Lynx Instruct 30B Qwen3 is an open-source language model by bineric. Features: 30b LLM, VRAM: 61.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-... Chat Conversational Endpoints compatible Instruct Moe Qwen3 Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bineric/lynx-instruct-30b-qwen3

Lynx Instruct 30B Qwen3 Parameters and Internals

LLM Name	Lynx Instruct 30B Qwen3
Repository 🤗	https://huggingface.co/bineric/lynx-instruct-30b-qwen3
Base Model(s)	Qwen3 30B A3B Instruct 2507 Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size	30b
Required VRAM	61.1 GB
Updated	2026-03-28
Maintainer	bineric
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 1.1 GB: 13-of-13
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Lynx Instruct 30B Qwen3 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 Lynx Instruct 30B Qwen3

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	165	9
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7
...07 YOYO2 TOTAL RECALL Instruct	986K / 84.8 GB	27	1
...07 YOYO2 TOTAL RECALL Instruct	986K / 106 GB	20	0
Qwen3 30B A3B YOYO V2	986K / 61.1 GB	19	4
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	3937	13
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1903736	824
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191
Lynx Instruct 30B	256K / 61.1 GB	223244	4

Note: green Score (e.g. "73.2") means that the model is better than bineric/lynx-instruct-30b-qwen3.