Llama3.0 ARC1 II by iRyanBell

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Llama3.0 ARC1 II is an open-source language model by iRyanBell. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Orpo   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Llama3.0 ARC1 II Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.0 ARC1 II (iRyanBell/llama3.0-ARC1-II)
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Llama3.0 ARC1 II Parameters and Internals

LLM NameLlama3.0 ARC1 II
Repository ๐Ÿค—https://huggingface.co/iRyanBell/llama3.0-ARC1-II 
Model Size8b
Required VRAM16.1 GB
Updated2025-04-18
MaintaineriRyanBell
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB03
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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71
...B Instruct 262k V2 EXL2 5.0bpw256K / 5.8 GB61
Note: green Score (e.g. "73.2") means that the model is better than iRyanBell/llama3.0-ARC1-II.

Rank the Llama3.0 ARC1 II Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Release v20260327b