Llama 3 8B Ita 4K Orpo V3 by diegobit

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational Dataset:efederici/alpaca-vs-al... Dataset:mii-community/ultrafee...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Llama 3 8B Ita 4K Orpo V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Ita 4K Orpo V3 (diegobit/llama-3-8b-ita-4k-orpo-v3)

Llama 3 8B Ita 4K Orpo V3 Parameters and Internals

Model Type 
NLP, Fine-tuned Language Model
Supported Languages 
Italian (High)
Training Details 
Data Sources:
mii-community/ultrafeedback-preferences-translated-ita, efederici/alpaca-vs-alpaca-orpo-dpo
Methodology:
Finetuning with ORPOConfig and PEFT parameters
Context Length:
4096
Training Time:
19 hours on A100-40GB
Hardware Used:
A100-40GB
Model Architecture:
Llama-3
LLM NameLlama 3 8B Ita 4K Orpo V3
Repository ๐Ÿค—https://huggingface.co/diegobit/llama-3-8b-ita-4k-orpo-v3 
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintainerdiegobit
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than diegobit/llama-3-8b-ita-4k-orpo-v3.

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