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Dolphin Mistral 24B Venice Fp16 by root4k

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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 Benchmarks

LLME Score: 0.24895
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 Fp16 (root4k/Dolphin-Mistral-24B-Venice-fp16)
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Dolphin Mistral 24B Venice Fp16 Parameters and Internals

LLM NameDolphin 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 Size24b
Required VRAM46.9 GB
Updated2025-07-31
Maintainerroot4k
Model Typemistral
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 Typefp16
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.0.dev0
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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

Rank the Dolphin Mistral 24B Venice Fp16 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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