What are the hardware requirements for LogicFlow Mistral Small 24B Reasoning?

LogicFlow Mistral Small 24B Reasoning 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 LogicFlow Mistral Small 24B Reasoning and how large is it?

LogicFlow Mistral Small 24B Reasoning is developed by RekklesAI, 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 LogicFlow Mistral Small 24B Reasoning?

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

LogicFlow Mistral Small 24B Reasoning by RekklesAI — VRAM 47.3GB, 32K context

Name: LogicFlow Mistral Small 24B Reasoning
Author: RekklesAI

LogicFlow Mistral Small 24B Reasoning is an open-source language model by RekklesAI. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Autotrain compatible Base model:adapter:mistralai/m... Base model:mistralai/mistral-s... Code Conversational Dataset:open-thoughts/openthou... En Endpoints compatible Finetuned Instruct Lora Math Mistral Puzzles Reasoning Region:us Safetensors Science Sharded Synthetic-thinking Tensorflow

Model Card on HF 🤗: https://huggingface.co/RekklesAI/LogicFlow-Mistral-Small-24B-Reasoning

LogicFlow Mistral Small 24B Reasoning Parameters and Internals

LLM Name	LogicFlow Mistral Small 24B Reasoning
Repository 🤗	https://huggingface.co/RekklesAI/LogicFlow-Mistral-Small-24B-Reasoning
Base Model(s)	...istral Small 24B Instruct 2501 mistralai/Mistral-Small-24B-Instruct-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-09-23
Maintainer	RekklesAI
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	4.51.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	</s>
Vocabulary Size	131072
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the LogicFlow Mistral Small 24B Reasoning capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to LogicFlow Mistral Small 24B Reasoning

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	40	12
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 RekklesAI/LogicFlow-Mistral-Small-24B-Reasoning.