What are the hardware requirements for Dolphin Mistral 24B Venice Fp16?

Dolphin Mistral 24B Venice Fp16 requires approximately 46.9 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 Dolphin Mistral 24B Venice Fp16 and how large is it?

Dolphin Mistral 24B Venice Fp16 is developed by root4k, 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 Dolphin Mistral 24B Venice Fp16?

Dolphin Mistral 24B Venice Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin Mistral 24B Venice Fp16 by root4k — VRAM 46.9GB, 32K context

Name: Dolphin Mistral 24B Venice Fp16
Author: root4k

Dolphin Mistral 24B Venice Fp16 is an open-source language model by root4k. Features: 24b LLM, VRAM: 46.9GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

Base model:cognitivecomputatio... Base model:finetune:cognitivec... Conversational Fp16 Mistral Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/root4k/Dolphin-Mistral-24B-Venice-fp16

Dolphin Mistral 24B Venice Fp16 Parameters and Internals

LLM Name	Dolphin Mistral 24B Venice Fp16
Repository 🤗	https://huggingface.co/root4k/Dolphin-Mistral-24B-Venice-fp16
Base Model(s)	...hin Mistral 24B Venice Edition cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
Model Size	24b
Required VRAM	46.9 GB
Updated	2025-09-27
Maintainer	root4k
Model Type	mistral
Model Files	5.1 GB: 1-of-10 5.2 GB: 2-of-10 5.1 GB: 3-of-10 5.2 GB: 4-of-10 5.2 GB: 5-of-10 5.1 GB: 6-of-10 5.2 GB: 7-of-10 5.2 GB: 8-of-10 4.3 GB: 9-of-10 1.3 GB: 10-of-10
Quantization Type	fp16
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Dolphin Mistral 24B Venice Fp16 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 Dolphin Mistral 24B Venice Fp16

Best Alternatives	Context / RAM	Downloads	Likes
Morbid Miasma 24B Mlx 8Bit	128K / 25 GB	40	2
Devstral Small 2507 Bnb 4bit	128K / 14.2 GB	398	1
...al Small 2507 Unsloth Bnb 4bit	128K / 15 GB	128	5
...al Small 2506 Unsloth Bnb 4bit	40K / 15 GB	109	4
Magistral Small 2506 Bnb 4bit	40K / 14.2 GB	38	1
...l Small 24B Instruct 2501 4bit	32K / 13.3 GB	1344	14
Not So Small Alpaca 24B	32K / 47.3 GB	14	0
Napoleon 24B V0.0	32K / 47.3 GB	18	0
...all 24B Instruct 2501 Bnb 4bit	32K / 14.2 GB	4725	3
...Instruct 2501 Unsloth Bnb 4bit	32K / 15 GB	2955	19

Note: green Score (e.g. "73.2") means that the model is better than root4k/Dolphin-Mistral-24B-Venice-fp16.