Dolphin Mistral 24B Venice Edition by cognitivecomputations

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Dolphin Mistral 24B Venice Edition is an open-source language model by cognitivecomputations. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Dolphin Mistral 24B Venice Edition Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin Mistral 24B Venice Edition Parameters and Internals

LLM NameDolphin Mistral 24B Venice Edition
Repository 🤗https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition 
Base Model(s)  ...istral Small 24B Instruct 2501   mistralai/Mistral-Small-24B-Instruct-2501
Model Size24b
Required VRAM47.3 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typemistral
Instruction-BasedYes
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 ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Quantized Models of the Dolphin Mistral 24B Venice Edition

Model
Likes
Downloads
VRAM
...olphin Mistral 24B Venice Fp1607046 GB

Best Alternatives to Dolphin Mistral 24B Venice Edition

Best Alternatives
Context / RAM
Downloads
Likes
...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
Cydonia 24B V4.3128K / 47.3 GB5057112
Neural V1 24B128K / 47.3 GB102
MS3.2 PaintedFantasy V4.1 24B128K / 47.3 GB6413
Cydonia 24B V4.1128K / 47.3 GB92376
MS3.2 PaintedFantasy V3 24B128K / 47.3 GB8035
Rivermind 24B V1128K / 47.3 GB1412
Cydonia 24B V4128K / 47.3 GB39039
Skyfall 31B V4128K / 62.9 GB634
MS3.2 PaintedFantasy V2 24B128K / 47.3 GB11940
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition.

Rank the Dolphin Mistral 24B Venice Edition 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a