What are the hardware requirements for MS D3RM 24B?

MS D3RM 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 D3RM 24B and how large is it?

MS D3RM 24B is developed by rityak, 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 D3RM 24B?

MS D3RM 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MS D3RM 24B by rityak — VRAM 47.3GB, 32K context

Name: MS D3RM 24B
Author: rityak

MS D3RM 24B is an open-source language model by rityak. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2311.03099 Autotrain compatible Base model:cognitivecomputatio... Base model:mistralai/mistral-s... Base model:sicariussicariistuf... Base model:trashpanda-org/ms-2... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rityak/MS_D3RM-24B

MS D3RM 24B Parameters and Internals

LLM Name	MS D3RM 24B
Repository 🤗	https://huggingface.co/rityak/MS_D3RM-24B
Base Model(s)	Mistral Small 24B Base 2501 MS 24B Mullein V0 Redemption Wind 24B cognitivecomputations/Dolphin3.0-Mistral-24B mistralai/Mistral-Small-24B-Base-2501 trashpanda-org/MS-24B-Mullein-v0 SicariusSicariiStuff/Redemption_Wind_24B cognitivecomputations/Dolphin3.0-Mistral-24B
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-02-16
Maintainer	rityak
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
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	131072
Torch Data Type	float16

Rank the MS D3RM 24B 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 MS D3RM 24B

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Chaotic Order 24B V3	128K / 47.3 GB	247	1
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	24	0
Chaotic Harmony 24B	128K / 47.3 GB	193	0
DeepWater Pleroma 24B V1	128K / 47.3 GB	151	1
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V1	128K / 47.3 GB	479	0
Priest 24B V0	128K / 47.3 GB	42	1
Chaotic Order 24B V2	128K / 47.3 GB	132	4
Morbid Miasma 24B	128K / 47.3 GB	82	17

Note: green Score (e.g. "73.2") means that the model is better than rityak/MS_D3RM-24B.