What are the hardware requirements for Dolphin3.0 R1 Mistral 24B?

Dolphin3.0 R1 Mistral 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 Dolphin3.0 R1 Mistral 24B and how large is it?

Dolphin3.0 R1 Mistral 24B is developed by cognitivecomputations, 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 Dolphin3.0 R1 Mistral 24B?

Dolphin3.0 R1 Mistral 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin3.0 R1 Mistral 24B by cognitivecomputations — VRAM 47.3GB, 32K context

Name: Dolphin3.0 R1 Mistral 24B
Author: cognitivecomputations

Dolphin3.0 R1 Mistral 24B is an open-source language model by cognitivecomputations. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, LLM Explorer Score: 0.25.

Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Dataset:ai-mo/numinamath-cot Dataset:ai-mo/numinamath-tir Dataset:allenai/tulu-3-sft-mix... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:huggingfacetb/smoltalk Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-agentin... Dataset:microsoft/orca-math-wo... Dataset:nousresearch/hermes-fu... Dataset:opencoder-llm/opc-sft-... Dataset:opencoder-llm/opc-sft-... En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B

Dolphin3.0 R1 Mistral 24B Parameters and Internals

LLM Name	Dolphin3.0 R1 Mistral 24B
Repository 🤗	https://huggingface.co/cognitivecomputations/Dolphin3.0-R1-Mistral-24B
Base Model(s)	Mistral Small 24B Base 2501 mistralai/Mistral-Small-24B-Base-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-07-13
Maintainer	cognitivecomputations
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
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Dolphin3.0 R1 Mistral 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

Quantized Models of the Dolphin3.0 R1 Mistral 24B

Model	Likes	Downloads	VRAM
Dolphin3.0 R1 Mistral 24B 4bit	3	447	13 GB

Best Alternatives to Dolphin3.0 R1 Mistral 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	24	0
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
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
DeepWater Pleroma 24B V1	128K / 47.3 GB	170	1
Chaotic Order 24B V1	128K / 47.3 GB	479	0
Priest 24B V0	128K / 47.3 GB	55	1
Chaotic Order 24B V2	128K / 47.3 GB	132	4

Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Dolphin3.0-R1-Mistral-24B.