LLaMAntino 3 ANITA 8B Inst DPO ITA by swap-uniba

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  Arxiv:2312.09993   Arxiv:2405.07101   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:chat-error/wizard alpa...   Dataset:gsarti/clean mc4 it Dataset:mlabonne/orpo-dpo-mix-...   En   Endpoints compatible   Facebook   Instruct   It   Llama   Llama-3   Llamantino   Meta   Model-index   Pythorch   Region:us   Safetensors   Sharded   Tensorflow

LLaMAntino 3 ANITA 8B Inst DPO ITA Benchmarks

LLaMAntino 3 ANITA 8B Inst DPO ITA (swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA)

LLaMAntino 3 ANITA 8B Inst DPO ITA Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, Italian Language applications
Additional Notes 
Multilingual model focusing on English and Italian.
Supported Languages 
en (full proficiency), it (full proficiency)
Training Details 
Data Sources:
gsarti/clean_mc4_it, Chat-Error/wizard_alpaca_dolly_orca, mlabonne/orpo-dpo-mix-40k
Methodology:
Supervised fine-tuning using QLoRA 4bit, DPO approach over the mlabonne/orpo-dpo-mix-40k dataset.
Context Length:
8192
Model Architecture:
Llama 3 architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Version:
10/05/2024
Notes:
Latest updates and improved performance.
LLM NameLLaMAntino 3 ANITA 8B Inst DPO ITA
Repository ๐Ÿค—https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA 
Model CreatorMarco Polignano - SWAP Research Group
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerswap-uniba
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
Supported Languagesen it
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227