Mistral Nemo Abliterated Nemo Pro V2 by win10

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Mistral Nemo Abliterated Nemo Pro V2 is an open-source language model by win10. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

  Merged Model   Arxiv:2306.01708 Base model:dphn/dolphin-2.9.3-... Base model:natong19/mistral-ne... Base model:shuttleai/shuttle-2...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Abliterated Nemo Pro V2 Benchmarks

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

Mistral Nemo Abliterated Nemo Pro V2 Parameters and Internals

LLM NameMistral Nemo Abliterated Nemo Pro V2
Repository 🤗https://huggingface.co/win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 
Base Model(s)  shuttleai/shuttle-2.5-mini   cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   ...Nemo Instruct 2407 Abliterated   shuttleai/shuttle-2.5-mini   cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   natong19/Mistral-Nemo-Instruct-2407-abliterated
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-23
Maintainerwin10
Model Typemistral
Instruction-BasedYes
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
Context Length1024000
Model Max Length1024000
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Mistral Nemo Abliterated Nemo Pro V2

Best Alternatives
Context / RAM
Downloads
Likes
...istral Nemo Instruct 2407 MPOA1000K / 24.5 GB262
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
Violet Twilight V0.21000K / 24.5 GB31246
Mistral Nemo Kurdish1000K / 24.5 GB83
Kalypso1000K / 24.5 GB2619
Azure Dusk V0.21000K / 24.5 GB9710
Crimson Dawn V0.21000K / 24.5 GB2314
Educa Ai Nemo Sft1000K / 49.3 GB54
ChatML Nemo Pro1000K / 24.5 GB52
MN SlushoMix1000K / 24.5 GB112
Note: green Score (e.g. "73.2") means that the model is better than win10/Mistral-Nemo-abliterated-Nemo-Pro-v2.

Rank the Mistral Nemo Abliterated Nemo Pro V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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