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Fireball Mistral Nemo Instruct 14B Merge V1 by EpistemeAI

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  Merged Model Base model:epistemeai2/firebal... Base model:finetune:epistemeai... Epistemeai2/fireball-mistral-n...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Fireball Mistral Nemo Instruct 14B Merge V1 Benchmarks

LLME Score: 0.26591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fireball Mistral Nemo Instruct 14B Merge V1 Parameters and Internals

LLM NameFireball Mistral Nemo Instruct 14B Merge V1
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-merge-v1 
Base Model(s)  EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD
Merged ModelYes
Model Size14b
Required VRAM24.6 GB
Updated2024-09-05
MaintainerEpistemeAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.42.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Fireball Mistral Nemo Instruct 14B Merge V1 (EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-merge-v1)

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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-merge-v1.

Rank the Fireball Mistral Nemo Instruct 14B Merge V1 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 v2024072803
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