Dolphin 2.9.3 Mistral Nemo 12B by dphn

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Dolphin 2.9.3 Mistral Nemo 12B is an open-source language model by dphn. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.19.

  Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.9.3 Mistral Nemo 12B Benchmarks

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

Dolphin 2.9.3 Mistral Nemo 12B Parameters and Internals

LLM NameDolphin 2.9.3 Mistral Nemo 12B
Repository 🤗https://huggingface.co/dphn/dolphin-2.9.3-mistral-nemo-12b 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12b
Required VRAM24.5 GB
Updated2026-04-21
Maintainerdphn
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphin-2.9.3-mistral-nemo-12b.

Rank the Dolphin 2.9.3 Mistral Nemo 12B 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