What are the hardware requirements for Mistral Modelstock 24B?

Mistral Modelstock 24B 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 Mistral Modelstock 24B and how large is it?

Mistral Modelstock 24B is developed by hotmailuser, 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 Modelstock 24B?

Mistral Modelstock 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Modelstock 24B by hotmailuser — VRAM 47.3GB, 32K context

Name: Mistral Modelstock 24B
Author: hotmailuser

Mistral Modelstock 24B is an open-source language model by hotmailuser. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2403.19522 Base model:cran-may/sce-2-24b Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hotmailuser/Mistral-modelstock-24B

Mistral Modelstock 24B Parameters and Internals

LLM Name	Mistral Modelstock 24B
Repository 🤗	https://huggingface.co/hotmailuser/Mistral-modelstock-24B
Base Model(s)	Mergekit Model Stock Olgorhm SCE 2 24B Mergekit Model Stock Nrrhivg ...Small 24B Instruct 2501 S1 SFT mergekit-community/mergekit-model_stock-olgorhm Cran-May/SCE-2-24B mergekit-community/mergekit-model_stock-nrrhivg yentinglin/Mistral-Small-24B-Instruct-2501-S1-SFT
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-06-25
Maintainer	hotmailuser
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 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 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	131072
Torch Data Type	float16

Rank the Mistral Modelstock 24B 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 Modelstock 24B

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 hotmailuser/Mistral-modelstock-24B.