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Fireball Mistral Nemo Instruct 14B Merge V1 by EpistemeAI

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Fireball Mistral Nemo Instruct 14B Merge V1 is an open-source language model by EpistemeAI. Features: 14b LLM, VRAM: 24.6GB, Context: 1000K, 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-14B-merge-v1 

Fireball Mistral Nemo Instruct 14B Merge V1 Benchmarks

LLME Score: 0.1483
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 14B Merge V1 (EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-merge-v1)
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Fireball Mistral Nemo Instruct 14B Merge V1 Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameFireball Mistral Nemo Instruct 14B Merge V1
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-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 Size14b
Required VRAM24.6 GB
Updated2024-09-05
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
Model ArchitectureMistralForCausalLM
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 14B Merge V1

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Context / RAM
Downloads
Likes
Phi 3 Medium 4K Instruct4K / 28 GB80928
...2.9.2 Phi 3 Medium Abliterated4K / 28 GB925919
...2.9.2 Phi 3 Medium Abliterated4K / 28 GB814821
Phi 3 Medium Llamaish4K / 28 GB50
Phi3 Translator Merged34K / 55 GB50
Arsh V14K / 28 GB11231
...ll Phi 3 Medium 4K Inst Philos4K / 28 GB120
...antha2.0 Phi3 Medium Ita 16bit4K / 28 GB26040
Phi 3 Unsloth Finetune 74K / 28 GB80
Phi 3 Unsloth Finetune 64K / 28 GB80
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-Mistral-Nemo-Instruct-14B-merge-v1.

Rank the Fireball Mistral Nemo Instruct 14B 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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