What are the hardware requirements for MS 2501 DPE QwQify V0.1 24B?

MS 2501 DPE QwQify V0.1 24B requires approximately 47.3 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 MS 2501 DPE QwQify V0.1 24B and how large is it?

MS 2501 DPE QwQify V0.1 24B is developed by BeaverAI, a model with 24b 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 MS 2501 DPE QwQify V0.1 24B?

MS 2501 DPE QwQify V0.1 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MS 2501 DPE QwQify V0.1 24B by BeaverAI — VRAM 47.3GB, 32K context

Name: MS 2501 DPE QwQify V0.1 24B
Author: BeaverAI

MS 2501 DPE QwQify V0.1 24B is an open-source language model by BeaverAI. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.17.

Merged Model Axolotl Base model:finetune:pocketdoc/... Base model:pocketdoc/dans-pers... Conversational Dataset:pjmixers-dev/allura-or... Dataset:pjmixers-dev/anthracit... Dataset:pjmixers-dev/grimulkan... Dataset:pjmixers-dev/grimulkan... Dataset:pjmixers-dev/grimulkan... Dataset:pjmixers-dev/lemonilia... Dataset:pjmixers-dev/minervaai... Dataset:pjmixers-dev/nyxkrage ... Dataset:pjmixers-dev/pocketdoc... Dataset:pjmixers-dev/pocketdoc... Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BeaverAI/MS-2501-DPE-QwQify-v0.1-24B

MS 2501 DPE QwQify V0.1 24B Parameters and Internals

LLM Name	MS 2501 DPE QwQify V0.1 24B
Repository 🤗	https://huggingface.co/BeaverAI/MS-2501-DPE-QwQify-v0.1-24B
Base Model(s)	PocketDoc/Dans-PersonalityEngine-V1.2.0-24b PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-24
Maintainer	BeaverAI
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MS 2501 DPE QwQify V0.1 24B 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

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...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Ouroboros 24B V1.4	128K / 47.3 GB	248	5
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Morbid Miasma 24B	128K / 47.3 GB	366	16
Doppelganger Twist 24B	128K / 47.3 GB	339	0
Zepar 24B V1	128K / 47.3 GB	200	5
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0

Note: green Score (e.g. "73.2") means that the model is better than BeaverAI/MS-2501-DPE-QwQify-v0.1-24B.