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Fireball Mistral Nemo Base 2407 Sft V2.1 by EpistemeAI

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Fireball Mistral Nemo Base 2407 Sft V2.1 is an open-source language model by EpistemeAI. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.19.

  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
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.1 

Fireball Mistral Nemo Base 2407 Sft V2.1 Benchmarks

LLME Score: 0.18966
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)
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Fireball Mistral Nemo Base 2407 Sft V2.1 Parameters and Internals

LLM NameFireball Mistral Nemo Base 2407 Sft V2.1
Repository 🤗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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...aptain Eris Violet GRPO V0.4201000K / 24.5 GB4124
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Violet Twilight V0.21000K / 24.5 GB11246
Tess Embed Fix Maybe1000K / 24.5 GB130
Funny Nemo Embedding Testing1000K / 24.5 GB81
12BTRU1000K / 24.5 GB210
A Strange Nemo Model1000K / 24.5 GB90
Another Strange Nemo Model1000K / 24.5 GB70
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

🆘 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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