What are the hardware requirements for Mistral Nemo BD RP?

Mistral Nemo BD RP requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo BD RP and how large is it?

Mistral Nemo BD RP is developed by yuyouyu, 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 Mistral Nemo BD RP?

Mistral Nemo BD RP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo BD RP by yuyouyu — VRAM 24.5GB, 1000K context

Name: Mistral Nemo BD RP
Author: yuyouyu

Mistral Nemo BD RP is an open-source language model by yuyouyu. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2408.10903 Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Dataset:yuyouyu/beyonddialogue En Instruct Mistral Region:us Role-playing Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/yuyouyu/Mistral-Nemo-BD-RP

Mistral Nemo BD RP Parameters and Internals

LLM Name	Mistral Nemo BD RP
Repository 🤗	https://huggingface.co/yuyouyu/Mistral-Nemo-BD-RP
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-07-14
Maintainer	yuyouyu
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 0.0 GB 0.0 GB
Supported Languages	zh en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	</s>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo BD 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

Best Alternatives to Mistral Nemo BD RP

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Kalypso	1000K / 24.5 GB	45	24
Crimson Dawn V0.2	1000K / 24.5 GB	17	13
Azure Dusk V0.2	1000K / 24.5 GB	43	10
...al Nemo Japanese Instruct 2408	1000K / 24.5 GB	2358	49
Mistral Nemo Instruct 2407 FP8	1000K / 13.6 GB	4691	19
Educa Ai Nemo Sft	1000K / 49.3 GB	13	4

Note: green Score (e.g. "73.2") means that the model is better than yuyouyu/Mistral-Nemo-BD-RP.