What are the hardware requirements for Magellanic Qwen 45B R999?

Magellanic Qwen 45B R999 requires approximately 89.6 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 Magellanic Qwen 45B R999 and how large is it?

Magellanic Qwen 45B R999 is developed by prithivMLmods, a model with 45b 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 Magellanic Qwen 45B R999?

Magellanic Qwen 45B R999 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magellanic Qwen 45B R999 by prithivMLmods — VRAM 89.6GB, 32K context

Name: Magellanic Qwen 45B R999
Author: prithivMLmods

Magellanic Qwen 45B R999 is an open-source language model by prithivMLmods. Features: 45b LLM, VRAM: 89.6GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Autotrain compatible Code Conversational En Endpoints compatible Instruct Math Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Magellanic-Qwen-45B-R999

Magellanic Qwen 45B R999 Parameters and Internals

LLM Name	Magellanic Qwen 45B R999
Repository 🤗	https://huggingface.co/prithivMLmods/Magellanic-Qwen-45B-R999
Model Size	45b
Required VRAM	89.6 GB
Updated	2025-03-06
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-19 5.0 GB: 2-of-19 4.8 GB: 3-of-19 4.8 GB: 4-of-19 4.8 GB: 5-of-19 5.0 GB: 6-of-19 4.8 GB: 7-of-19 4.8 GB: 8-of-19 4.8 GB: 9-of-19 5.0 GB: 10-of-19 4.8 GB: 11-of-19 4.8 GB: 12-of-19 4.8 GB: 13-of-19 5.0 GB: 14-of-19 4.8 GB: 15-of-19 4.8 GB: 16-of-19 4.8 GB: 17-of-19 5.0 GB: 18-of-19 2.0 GB: 19-of-19
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

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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