What are the hardware requirements for Megatron Opus 14B 2.0?

Megatron Opus 14B 2.0 requires approximately 29.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Megatron Opus 14B 2.0 and how large is it?

Megatron Opus 14B 2.0 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 Megatron Opus 14B 2.0?

Megatron Opus 14B 2.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Megatron Opus 14B 2.0 by prithivMLmods — VRAM 29.4GB, 16K context

Name: Megatron Opus 14B 2.0
Author: prithivMLmods

Megatron Opus 14B 2.0 is an open-source language model by prithivMLmods. Features: 14b LLM, VRAM: 29.4GB, Context: 16K, License: llama3.1, LLM Explorer Score: 0.27.

Base model:finetune:microsoft/... Base model:microsoft/phi-4 Conversational Corpus En Endpoints compatible Llama Llama3.1 Llamaforcausallm Model-index Phi4 Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Megatron-Opus-14B-2.0

Megatron Opus 14B 2.0 Parameters and Internals

LLM Name	Megatron Opus 14B 2.0
Repository 🤗	https://huggingface.co/prithivMLmods/Megatron-Opus-14B-2.0
Base Model(s)	Phi 4 microsoft/phi-4
Model Size	14b
Required VRAM	29.4 GB
Updated	2026-07-13
Maintainer	prithivMLmods
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	16384
Model Max Length	16384
Transformers Version	4.48.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	float16

Rank the Megatron Opus 14B 2.0 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 Megatron Opus 14B 2.0

Best Alternatives	Context / RAM	Downloads	Likes
...struct 2512 Llamafied TextOnly	256K / 27 GB	9	3
...Qwen2.5llamaify 14B V23.3 200K	195K / 29.7 GB	10	5
...Qwen2.5llamaify 14B V23.1 200K	195K / 29.7 GB	15	1
GeM2 Llamion 14B LongChat	195K / 29 GB	7915	4
Openbuddy Zero 14B V22.3 32K	32K / 28 GB	8483	2
Phi4 14B R1	31K / 29.4 GB	11	0
Rune 14B	16K / 29.5 GB	45	1
Rosemary 14B	16K / 29.5 GB	57	0
Sake 20B	16K / 43.1 GB	22	0
Loke 14B Sce	16K / 29.5 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Megatron-Opus-14B-2.0.