What are the hardware requirements for DictaLM 3.0 24B Thinking?

DictaLM 3.0 24B Thinking requires approximately 47.3 GB of VRAM and supports a context window of 63K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DictaLM 3.0 24B Thinking and how large is it?

DictaLM 3.0 24B Thinking is developed by dicta-il, 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 DictaLM 3.0 24B Thinking?

DictaLM 3.0 24B Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DictaLM 3.0 24B Thinking by dicta-il — VRAM 47.3GB, 63K context

Name: DictaLM 3.0 24B Thinking
Author: dicta-il

DictaLM 3.0 24B Thinking is an open-source language model by dicta-il. Features: 24b LLM, VRAM: 47.3GB, Context: 63K, License: apache-2.0, LLM Explorer Score: 0.22.

Conversational En He Mistral Pretrained Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/dicta-il/DictaLM-3.0-24B-Thinking

DictaLM 3.0 24B Thinking Parameters and Internals

LLM Name	DictaLM 3.0 24B Thinking
Repository 🤗	https://huggingface.co/dicta-il/DictaLM-3.0-24B-Thinking
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-31
Maintainer	dicta-il
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
Supported Languages	en he
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	65280
Model Max Length	65280
Transformers Version	4.55.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the DictaLM 3.0 24B Thinking 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 DictaLM 3.0 24B Thinking

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...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	14	0
Chaotic Order 24B V1	128K / 47.3 GB	479	0
Ouroboros 24B V1.4	128K / 47.3 GB	372	6
Doppelganger Twist 24B	128K / 47.3 GB	421	0
Morbid Miasma 24B	128K / 47.3 GB	275	16
Celestial Order 24B V2	128K / 47.3 GB	127	3
MagiSeek Pro V1	128K / 47.3 GB	303	1
Zepar 24B V1	128K / 47.3 GB	101	5

Note: green Score (e.g. "73.2") means that the model is better than dicta-il/DictaLM-3.0-24B-Thinking.