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Nemo Pony 2 Merged by Fizzarolli

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  Autotrain compatible   Base model:ada321/nemo pony 2 Base model:finetune:ada321/nem...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Fizzarolli/Nemo_Pony_2-merged 

Nemo Pony 2 Merged Benchmarks

LLME Score: 0.21999
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemo Pony 2 Merged (Fizzarolli/Nemo_Pony_2-merged)

Nemo Pony 2 Merged Parameters and Internals

LLM NameNemo Pony 2 Merged
Repository 🤗https://huggingface.co/Fizzarolli/Nemo_Pony_2-merged 
Base Model(s)  Mistral Nemo Instruct 2407   Ada321/Nemo_Pony_2   mistralai/Mistral-Nemo-Instruct-2407   Ada321/Nemo_Pony_2
Model Size12.2b
Required VRAM24.5 GB
Updated2025-02-05
MaintainerFizzarolli
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 Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Fizzarolli/Nemo_Pony_2-merged.

Rank the Nemo Pony 2 Merged 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 v20241227
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