What are the hardware requirements for Valkyrie 49B V2?

Valkyrie 49B V2 requires approximately 100.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Valkyrie 49B V2 and how large is it?

Valkyrie 49B V2 is developed by TheDrummer, a model with 49b 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 Valkyrie 49B V2?

Valkyrie 49B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Valkyrie 49B V2 by TheDrummer — VRAM 100.2GB, 128K context

Name: Valkyrie 49B V2
Author: TheDrummer

Valkyrie 49B V2 is an open-source language model by TheDrummer. Features: 49b LLM, VRAM: 100.2GB, Context: 128K, LLM Explorer Score: 0.2.

Base model:finetune:nvidia/lla... Base model:nvidia/llama-3 3-ne... Custom code Nemotron-nas Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheDrummer/Valkyrie-49B-v2

Valkyrie 49B V2 Parameters and Internals

LLM Name	Valkyrie 49B V2
Repository 🤗	https://huggingface.co/TheDrummer/Valkyrie-49B-v2
Base Model(s)	...ma 3 3 Nemotron Super 49B V1.5 nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
Model Size	49b
Required VRAM	100.2 GB
Updated	2026-08-03
Maintainer	TheDrummer
Model Type	nemotron-nas
Model Files	5.0 GB: 1-of-21 5.0 GB: 2-of-21 5.0 GB: 3-of-21 4.9 GB: 4-of-21 4.7 GB: 5-of-21 5.0 GB: 6-of-21 5.0 GB: 7-of-21 4.7 GB: 8-of-21 4.7 GB: 9-of-21 4.7 GB: 10-of-21 5.0 GB: 11-of-21 5.0 GB: 12-of-21 4.7 GB: 13-of-21 4.7 GB: 14-of-21 4.8 GB: 15-of-21 4.8 GB: 16-of-21 4.9 GB: 17-of-21 4.7 GB: 18-of-21 4.7 GB: 19-of-21 4.7 GB: 20-of-21 3.5 GB: 21-of-21
Model Architecture	DeciLMForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Valkyrie 49B V2 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 Valkyrie 49B V2

Best Alternatives	Context / RAM	Downloads	Likes
... Nemotron Super 49B V1.5 NVFP4	128K / 31.1 GB	22695	20
...lama 3 3 Nemotron Super 49B V1	128K / 100.2 GB	189371	325
...ma 3 3 Nemotron Super 49B V1.5	128K / 100.2 GB	21	3
...lama 3 3 Nemotron Super 49B V1	128K / 100.2 GB	50	0
... 3 Nemotron Super 49B V1.5 FP8	128K / 52 GB	255666	28
...ma 3 3 Nemotron Super 49B V1.5	128K / 100.2 GB	57679	234
Valkyrie 49B V2.1	128K / 100.2 GB	223	30
... 3 3 Nemotron Super 49B V1 FP8	128K / 52 GB	1025	13
...a 3 3 Nemotron Super 49B GenRM	128K / 99.7 GB	40	19
...n Super 49B GenRM Multilingual	128K / 99.7 GB	81	7

Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Valkyrie-49B-v2.