Fireball Mistral Nemo Base 2407 Sft V2.1 by EpistemeAI

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  Autotrain compatible Base model:epistemeai/fireball... Base model:finetune:epistemeai... Dataset:candenizkocak/code-alp...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Fireball Mistral Nemo Base 2407 Sft V2.1 Benchmarks

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 Base 2407 Sft V2.1 (EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1)

Fireball Mistral Nemo Base 2407 Sft V2.1 Parameters and Internals

LLM NameFireball Mistral Nemo Base 2407 Sft V2.1
Repository ๐Ÿค—https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1 
Base Model(s)  EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2   EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2
Model Size12.2b
Required VRAM24.5 GB
Updated2024-08-31
MaintainerEpistemeAI
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
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 EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1.

Rank the Fireball Mistral Nemo Base 2407 Sft V2.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217