What are the hardware requirements for Mistralnemo DPO V1 Rp?

Mistralnemo DPO V1 Rp requires approximately 24.5 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 Mistralnemo DPO V1 Rp and how large is it?

Mistralnemo DPO V1 Rp is developed by NischayDnk, a model with 12.2b 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 Mistralnemo DPO V1 Rp?

Mistralnemo DPO V1 Rp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistralnemo DPO V1 Rp by NischayDnk — VRAM 24.5GB, 128K context

Name: Mistralnemo DPO V1 Rp
Author: NischayDnk

Mistralnemo DPO V1 Rp is an open-source language model by NischayDnk. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NischayDnk/Mistralnemo-dpo-v1-rp

Mistralnemo DPO V1 Rp Parameters and Internals

LLM Name	Mistralnemo DPO V1 Rp
Repository 🤗	https://huggingface.co/NischayDnk/Mistralnemo-dpo-v1-rp
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2025-03-14
Maintainer	NischayDnk
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistralnemo DPO V1 Rp 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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Azure Dusk V0.2	1000K / 24.5 GB	43	10
...al Nemo Japanese Instruct 2408	1000K / 24.5 GB	2358	49
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Educa Ai Nemo Sft	1000K / 49.3 GB	13	4

Note: green Score (e.g. "73.2") means that the model is better than NischayDnk/Mistralnemo-dpo-v1-rp.