What are the hardware requirements for MN SlushoMix?

MN SlushoMix 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 MN SlushoMix and how large is it?

MN SlushoMix is developed by crestf411, 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 MN SlushoMix?

MN SlushoMix is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN SlushoMix by crestf411 — VRAM 24.5GB, 1000K context

Name: MN SlushoMix
Author: crestf411

MN SlushoMix is an open-source language model by crestf411. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, LLM Explorer Score: 0.15.

Conversational Endpoints compatible Instruct Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/crestf411/MN-SlushoMix

MN SlushoMix Parameters and Internals

LLM Name	MN SlushoMix
Repository 🤗	https://huggingface.co/crestf411/MN-SlushoMix
Base Model(s)	mistralai/Mistral-Nemo-Instruct-240 mistralai/Mistral-Nemo-Instruct-240
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-07-23
Maintainer	crestf411
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	1024000
Model Max Length	1024000
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN SlushoMix 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 MN SlushoMix

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 crestf411/MN-SlushoMix.