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Ft V1 Nemo Base by alexxi19

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

Ft V1 Nemo Base Benchmarks

LLME Score: 0.27748
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)

Ft V1 Nemo Base Parameters and Internals

LLM NameFt V1 Nemo Base
Repository 🤗https://huggingface.co/alexxi19/ft-v1-nemo-base 
Required VRAM24.5 GB
Updated2025-02-22
Maintaineralexxi19
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
Context Length1024000
Model Max Length1024000
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
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 alexxi19/ft-v1-nemo-base.

Rank the Ft V1 Nemo Base Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Multi-Language Support and Translation  

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Release v20241227
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