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Fireball Mistral Nemo Base 2407 Sft V2.2a by EpistemeAI

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Fireball Mistral Nemo Base 2407 Sft V2.2a is an open-source language model by EpistemeAI. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.15.

  Autotrain compatible Base model:epistemeai/fireball... Base model:finetune:epistemeai...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a 

Fireball Mistral Nemo Base 2407 Sft V2.2a Benchmarks

LLME Score: 0.15073
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 V2.2a (EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a)
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Fireball Mistral Nemo Base 2407 Sft V2.2a Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
This uploaded model was developed by EpistemeAI and fine-tuned from the base model EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1 using advanced training techniques for efficiency.
Supported Languages 
en (proficient)
Training Details 
Methodology:
The model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameFireball Mistral Nemo Base 2407 Sft V2.2a
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a 
Base Model(s)  EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1   EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1
Model Size12.2b
Required VRAM24.5 GB
Updated2025-09-23
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-v2.2a.

Rank the Fireball Mistral Nemo Base 2407 Sft V2.2a 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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