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Fireball Mistral Nemo Instruct 24B Merge V1 by EpistemeAI

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Fireball Mistral Nemo Instruct 24B Merge V1 is an open-source language model by EpistemeAI. Features: 24b LLM, VRAM: 24.6GB, Context: 1000K, License: proprietary, Instruction-Based, Merged, LLM Explorer Score: 0.15.

  Merged Model Base model:epistemeai2/firebal... Base model:finetune:epistemeai... Epistemeai2/fireball-mistral-n...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Instruct-24B-merge-v1 

Fireball Mistral Nemo Instruct 24B Merge V1 Benchmarks

LLME Score: 0.14809
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 Instruct 24B Merge V1 (EpistemeAI/Fireball-Mistral-Nemo-Instruct-24B-merge-v1)
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Fireball Mistral Nemo Instruct 24B Merge V1 Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameFireball Mistral Nemo Instruct 24B Merge V1
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Instruct-24B-merge-v1 
Base Model(s)  EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD   EpistemeAI2/Fireball-Mistral-Nemo-Instruct-emo-PHD
Merged ModelYes
Model Size24b
Required VRAM24.6 GB
Updated2024-10-06
MaintainerEpistemeAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length1024000
Model Max Length1024000
Transformers Version4.42.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Fireball Mistral Nemo Instruct 24B Merge V1

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Context / RAM
Downloads
Likes
Cydonia 24B V4.3128K / 47.3 GB3460102
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Cydonia 24B V4.1128K / 47.3 GB92376
MS3.2 PaintedFantasy V3 24B128K / 47.3 GB8035
Rivermind 24B V1128K / 47.3 GB1412
Cydonia 24B V4128K / 47.3 GB39039
Skyfall 31B V4128K / 62.9 GB634
MS3.2 PaintedFantasy V2 24B128K / 47.3 GB11940
...2 PaintedFantasy Visage V3 34B128K / 68.4 GB1630
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-Mistral-Nemo-Instruct-24B-merge-v1.

Rank the Fireball Mistral Nemo Instruct 24B Merge V1 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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