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Fireball MathMistral Nemo Base 2407 by EpistemeAI

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

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem...   Conversational   Dataset:meta-math/metamathqa   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-MathMistral-Nemo-Base-2407 

Fireball MathMistral Nemo Base 2407 Benchmarks

LLME Score: 0.15091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fireball MathMistral Nemo Base 2407 (EpistemeAI/Fireball-MathMistral-Nemo-Base-2407)
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Fireball MathMistral Nemo Base 2407 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Education, Mathematics
Applications:
Math problem solving
Primary Use Cases:
Provide better math responses than previous models
Additional Notes 
Mistral-Nemo-Base-2407 is a pretrained base model and does not have any moderation mechanisms.
Supported Languages 
en (Advanced)
Training Details 
Data Sources:
meta-math/MetaMathQA
Methodology:
Supervised fine-tuning
Context Length:
128000
Model Architecture:
Transformer with 40 layers, 5,120 dim, 14,436 hidden dim, SwiGLU activation function. Number of heads: 32, number of kv-heads: 8 (GQA), Vocabulary size: 128k with Rotary embeddings (theta = 1M).
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use a temperature of 0.3 for better performance.
LLM NameFireball MathMistral Nemo Base 2407
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-MathMistral-Nemo-Base-2407 
Base Model(s)  ...istral Nemo Base 2407 Bnb 4bit   unsloth/Mistral-Nemo-Base-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2026-02-14
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
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

Best Alternatives to Fireball MathMistral Nemo Base 2407

Best Alternatives
Context / RAM
Downloads
Likes
NemoR1000K / 24.5 GB240
Nemo Carpmuscle V0.11000K / 24.5 GB51
...d 1.0 Nemo Base 2407 Ita 16bit1000K / 24.5 GB25794
NaturalLM1000K / 24.5 GB1636
NaturalLM1000K / 24.5 GB66
... Mistral Nemo Base 2407 Sft V11000K / 24.5 GB491
Luca MN Bf16128K / 24.5 GB60
...aptain Eris Violet GRPO V0.4201000K / 24.5 GB2624
...istral Nemo Instruct 2407 MPOA1000K / 24.5 GB232
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-MathMistral-Nemo-Base-2407.

Rank the Fireball MathMistral Nemo Base 2407 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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