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Ft V1 Nemo Base by alexxi19

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Ft V1 Nemo Base is an open-source language model by alexxi19. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.17.

  Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alexxi19/ft-v1-nemo-base 

Ft V1 Nemo Base Benchmarks

LLME Score: 0.17279
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ft V1 Nemo Base (alexxi19/ft-v1-nemo-base)
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Ft V1 Nemo Base Parameters and Internals

LLM NameFt V1 Nemo Base
Repository 🤗https://huggingface.co/alexxi19/ft-v1-nemo-base 
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-26
Maintaineralexxi19
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   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 Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Kalypso1000K / 24.5 GB2619
Crimson Dawn V0.21000K / 24.5 GB1313
...al Nemo Japanese Instruct 24081000K / 24.5 GB1087048
Azure Dusk V0.21000K / 24.5 GB109
Educa Ai Nemo Sft1000K / 49.3 GB64
...l Nemo Abliterated Nemo Pro V21000K / 24.5 GB161
Note: green Score (e.g. "73.2") means that the model is better than alexxi19/ft-v1-nemo-base.

Rank the Ft V1 Nemo Base 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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