Meta Llama 3 8B Instruct Fictional Arc Challenge Italian V2 by yzhuang

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Dataset:generator   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl

Meta Llama 3 8B Instruct Fictional Arc Challenge Italian V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Fictional Arc Challenge Italian V2 (yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_challenge_Italian_v2)

Meta Llama 3 8B Instruct Fictional Arc Challenge Italian V2 Parameters and Internals

Training Details 
Data Sources:
generator
LLM NameMeta Llama 3 8B Instruct Fictional Arc Challenge Italian V2
Repository ๐Ÿค—https://huggingface.co/yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_challenge_Italian_v2 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintaineryzhuang
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   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_challenge_Italian_v2.

Rank the Meta Llama 3 8B Instruct Fictional Arc Challenge Italian V2 Capabilities

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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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227