What are the hardware requirements for Mistral Small 3.1 24B Base 2503 Hf DanChat?

Mistral Small 3.1 24B Base 2503 Hf DanChat requires approximately 47.3 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 Mistral Small 3.1 24B Base 2503 Hf DanChat and how large is it?

Mistral Small 3.1 24B Base 2503 Hf DanChat is developed by Dans-DiscountModels, 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 Mistral Small 3.1 24B Base 2503 Hf DanChat?

Mistral Small 3.1 24B Base 2503 Hf DanChat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small 3.1 24B Base 2503 Hf DanChat by Dans-DiscountModels — VRAM 47.3GB, 128K context

Name: Mistral Small 3.1 24B Base 2503 Hf DanChat
Author: Dans-DiscountModels

Mistral Small 3.1 24B Base 2503 Hf DanChat is an open-source language model by Dans-DiscountModels. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Dans-DiscountModels/Mistral-Small-3.1-24B-Base-2503-hf-DanChat

Mistral Small 3.1 24B Base 2503 Hf DanChat Parameters and Internals

LLM Name	Mistral Small 3.1 24B Base 2503 Hf DanChat
Repository 🤗	https://huggingface.co/Dans-DiscountModels/Mistral-Small-3.1-24B-Base-2503-hf-DanChat
Base Model(s)	mistralai/Mistral-Small-3.1-24B-Base-2503 mistralai/Mistral-Small-3.1-24B-Base-2503
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-10-09
Maintainer	Dans-DiscountModels
Model Type	mistral
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
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Small 3.1 24B Base 2503 Hf DanChat 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 Small 3.1 24B Base 2503 Hf DanChat

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Quantum Precog 24B	128K / 47.3 GB	376	2
Cyberdonia 24B V8	128K / 47.3 GB	383	4
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	19	0
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V3	128K / 47.3 GB	247	1
Chaotic Order V4	128K / 47.3 GB	199	0
Chaotic Harmony 24B	128K / 47.3 GB	193	0
Chaotic Order 24B V1	128K / 47.3 GB	479	0
DeepWater Pleroma 24B V1	128K / 47.3 GB	113	1

Note: green Score (e.g. "73.2") means that the model is better than Dans-DiscountModels/Mistral-Small-3.1-24B-Base-2503-hf-DanChat.