What are the hardware requirements for Cogito MIS?

Cogito MIS 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 Cogito MIS and how large is it?

Cogito MIS is developed by Daemontatox, 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 Cogito MIS?

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

Cogito MIS by Daemontatox — VRAM 47.3GB, 32K context

Name: Cogito MIS
Author: Daemontatox

Cogito MIS is an open-source language model by Daemontatox. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Autotrain compatible Base model:finetune:yentinglin... Base model:yentinglin/mistral-... Conversational En Endpoints compatible Instruct Mistral Model-index Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Daemontatox/Cogito-MIS

Cogito MIS Parameters and Internals

LLM Name	Cogito MIS
Repository 🤗	https://huggingface.co/Daemontatox/Cogito-MIS
Base Model(s)	...ll 24B Instruct 2501 Reasoning yentinglin/Mistral-Small-24B-Instruct-2501-reasoning
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-02-27
Maintainer	Daemontatox
Model Type	mistral
Instruction-Based	Yes
Model Files	4.8 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 3.9 GB: 10-of-10
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Cogito MIS 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 Cogito MIS

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	37	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35

Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/Cogito-MIS.