MS D3RM 24B by rityak

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MS D3RM 24B is an open-source language model by rityak. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

  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

MS D3RM 24B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MS D3RM 24B Parameters and Internals

LLM NameMS 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 ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-02-16
Maintainerrityak
Model Typemistral
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 ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size131072
Torch Data Typefloat16

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Sketch Cydonia 24B V1.2128K / 47.3 GB288
Note: green Score (e.g. "73.2") means that the model is better than rityak/MS_D3RM-24B.

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  

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Release v20260328a