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Fireball 12B by EpistemeAI

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  Autotrain compatible Base model:epistemeai/fireball... Base model:finetune:epistemeai... Dataset:candenizkocak/code-alp... Dataset:reciperesearch/dolphin...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-12B 

Fireball 12B Benchmarks

MMLU Pro: 26.04
GPQA: 1.57
MUSR: 12.52
BBH: 30.67
IFEval: 18.34 vs 88 (so35)-79.2%
MATH Lvl 5: 3.93
LLME Score: 0.25744
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fireball 12B (EpistemeAI/Fireball-12B)

Fireball 12B Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
Model is a pretrained base model and does not have any moderation mechanisms.
Training Details 
Data Sources:
candenizkocak/code-alpaca-297k, yahma/alpaca-cleaned, reciperesearch/dolphin-sft-v0.1-preference
Methodology:
Supervised fine-tuning
Context Length:
128000
Model Architecture:
Transformer model with 40 layers, 5,120 dimensionality, 128 head dim, 14,436 hidden dim, SwiGLU activation, 32 heads, 8 kv-heads
LLM NameFireball 12B
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-12B 
Base Model(s)  EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a   EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a
Model Size12b
Required VRAM24.5 GB
Updated2025-01-24
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-12B.

Rank the Fireball 12B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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