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Llama 3.1 8B ArliAI Formax V1.0 by ArliAI

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Llama 3.1 8B ArliAI Formax V1.0 is an open-source language model by ArliAI. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.15.

  Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0 

Llama 3.1 8B ArliAI Formax V1.0 Benchmarks

LLME Score: 0.15484
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B ArliAI Formax V1.0 (ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0)
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Llama 3.1 8B ArliAI Formax V1.0 Parameters and Internals

Model Type 
Specialized response following
Use Cases 
Primary Use Cases:
Data processing, Dataset creation tasks
Additional Notes 
Great for data processing and dataset creation tasks
Training Details 
Data Sources:
A massive dataset
Methodology:
1 epoch training with LORA 64-rank 128-alpha
Context Length:
8192
Training Time:
Around 3 days on 2x3090Ti
Hardware Used:
2x3090Ti
LLM NameLlama 3.1 8B ArliAI Formax V1.0
Repository 🤗https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0 
Model Size8b
Required VRAM16.1 GB
Updated2025-10-07
MaintainerArliAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0.

Rank the Llama 3.1 8B ArliAI Formax V1.0 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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