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README.md CHANGED
@@ -1,3 +1,407 @@
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- ---
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- license: llama3
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - it
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+ license: llama3
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+ library_name: transformers
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+ tags:
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+ - facebook
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+ - meta
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+ - pythorch
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+ - llama
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+ - llama-3
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+ - llamantino
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ datasets:
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+ - gsarti/clean_mc4_it
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+ - Chat-Error/wizard_alpaca_dolly_orca
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+ - mlabonne/orpo-dpo-mix-40k
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+ metrics:
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+ - accuracy
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+ model_creator: Marco Polignano - SWAP Research Group
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 74.57
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 92.75
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 66.85
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 75.93
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 82.0
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 58.61
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+ name: Open LLM Leaderboard
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+ ---
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+ ---
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+
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+ # OpenVINO IR model with int4 quantization of LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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+
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+ Model definition for LocalAI:
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+ ```yaml
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+ name: anita-llama3
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+ backend: transformers
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+ parameters:
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+ model: fakezeta/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-ov-int4
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+ context_size: 8192
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+ type: OVModelForCausalLM
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+ template:
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+ use_tokenizer_template: true
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+ ```
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+
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+ To run the model directly with LocalAI:
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+ ```
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+ local-ai run huggingface://fakezeta/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-ov-int4/model.yaml
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+ ```
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+
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/5df8bb21da6d0311fd3d540f/xL6Ax1I34qfC4VPKEFA6Z.png" alt="llamantino3_anita" border="0" width="800px">
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+ aaa
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+ <hr>
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+ <!--<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" width="200"/>-->
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+ <h3><i>"Built with <b>Meta Llama 3</b>".</i></i></h3>
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+ <p style="text-align:justify;"><b>LLaMAntino-3-ANITA-8B-Inst-DPO-ITA</b> is a model of the <a href="https://huggingface.co/swap-uniba"><b>LLaMAntino</b></a> - <i>Large Language Models family</i>.
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+ The model is an instruction-tuned version of <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"><b>Meta-Llama-3-8b-instruct</b></a> (a fine-tuned <b>LLaMA 3 model</b>).
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+ This model version aims to be the a <b>Multilingual Model</b> 🏁 (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.</p>
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+
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+
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+ The 🌟**ANITA project**🌟 *(**A**dvanced **N**atural-based interaction for the **ITA**lian language)*
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+ wants to provide Italian NLP researchers with an improved model for the Italian Language 🇮🇹 use cases.<br>
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+
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+ <hr>
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+
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+ **Live DEMO:** [https://chat.llamantino.it/](https://chat.llamantino.it/)<br>
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+ *It works only with Italian connection.*
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+
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+ <hr>
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+
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+ ## Model Details
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+ *Last Update: 10/05/2024*<br>
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+
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+ <a href="https://github.com/marcopoli/LLaMAntino-3-ANITA"><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="150"> https://github.com/marcopoli/LLaMAntino-3-ANITA</a><br>
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+
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+ | Model | HF | GGUF | EXL2 |
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+ |-------|-------|-------|-------|
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+ | *swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA* | [Link](https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA) | [Link](https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA_GGUF) | [Link](https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA_EXL2) |
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+
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+ <hr>
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+
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+ ## Specifications
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+
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+ - **Model developers**: <br><a href="https://marcopoli.github.io/">Ph.D. Marco Polignano</a> - University of Bari Aldo Moro, Italy <br> <a href="https://huggingface.co/swap-uniba">SWAP Research Group</a> <br>
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+ - **Variations**: The model release has been **supervised fine-tuning (SFT)** using **QLoRA** 4bit, on instruction-based datasets. **DPO** approach over the *mlabonne/orpo-dpo-mix-40k* dataset is used to align with human preferences for helpfulness and safety.
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+ - **Input**: Models input text only.
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+ - **Language**: Multilingual 🏁 + Italian 🇮🇹
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+ - **Output**: Models generate text and code only.
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+ - **Model Architecture**: *Llama 3 architecture*.
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+ - **Context length**: 8K, 8192.
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+ - **Library Used**: [Unsloth](https://unsloth.ai/)
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+ <hr>
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+
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+ ## Playground
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+
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+ To use the model directly, there are many ways to get started, choose one of the following ways to experience it.
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+
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+ ### Prompt Template
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+ ```
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+ <|start_header_id|>system<|end_header_id|>
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+
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+ { SYS Prompt }<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ { USER Prompt }<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ { ASSIST Prompt }<|eot_id|>
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+ ````
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+
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+ ### Transformers
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+
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+ For direct use with `transformers`, you can easily get started with the following steps.
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+
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+ - Firstly, you need to install transformers via the command below with `pip`.
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+
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+ ```bash
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+ pip install -U transformers trl peft accelerate bitsandbytes
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+ ```
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+
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+ - Right now, you can start using the model directly.
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+
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+ ```python
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+ import torch
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+ from transformers import (
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+ AutoModelForCausalLM,
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+ AutoTokenizer,
224
+ )
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+
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+ base_model = "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA"
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+ model = AutoModelForCausalLM.from_pretrained(
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+ base_model,
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto",
231
+ )
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+ tokenizer = AutoTokenizer.from_pretrained(base_model)
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+
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+ sys = "Sei un an assistente AI per la lingua Italiana di nome LLaMAntino-3 ANITA " \
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+ "(Advanced Natural-based interaction for the ITAlian language)." \
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+ " Rispondi nella lingua usata per la domanda in modo chiaro, semplice ed esaustivo."
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+
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+ messages = [
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+ {"role": "system", "content": sys},
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+ {"role": "user", "content": "Chi è Carlo Magno?"}
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+ ]
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+
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+ #Method 1
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ inputs = tokenizer(prompt, return_tensors="pt", add_special_tokens=False)
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+ for k,v in inputs.items():
247
+ inputs[k] = v.cuda()
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+ outputs = model.generate(**inputs, max_new_tokens=512, do_sample=True, top_p=0.9, temperature=0.6)
249
+ results = tokenizer.batch_decode(outputs)[0]
250
+ print(results)
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+
252
+ #Method 2
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+ import transformers
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+ pipe = transformers.pipeline(
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+ model=model,
256
+ tokenizer=tokenizer,
257
+ return_full_text=False, # langchain expects the full text
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+ task='text-generation',
259
+ max_new_tokens=512, # max number of tokens to generate in the output
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+ temperature=0.6, #temperature for more or less creative answers
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+ do_sample=True,
262
+ top_p=0.9,
263
+ )
264
+
265
+ sequences = pipe(messages)
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+ for seq in sequences:
267
+ print(f"{seq['generated_text']}")
268
+
269
+ ```
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+
271
+ - Additionally, you can also use a model with **4bit quantization** to reduce the required resources at least. You can start with the code below.
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+
273
+ ```python
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+ import torch
275
+ from transformers import (
276
+ AutoModelForCausalLM,
277
+ AutoTokenizer,
278
+ BitsAndBytesConfig,
279
+ )
280
+
281
+ base_model = "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA"
282
+ bnb_config = BitsAndBytesConfig(
283
+ load_in_4bit=True,
284
+ bnb_4bit_quant_type="nf4",
285
+ bnb_4bit_compute_dtype=torch.bfloat16,
286
+ bnb_4bit_use_double_quant=False,
287
+ )
288
+ model = AutoModelForCausalLM.from_pretrained(
289
+ base_model,
290
+ quantization_config=bnb_config,
291
+ device_map="auto",
292
+ )
293
+ tokenizer = AutoTokenizer.from_pretrained(base_model)
294
+
295
+ sys = "Sei un an assistente AI per la lingua Italiana di nome LLaMAntino-3 ANITA " \
296
+ "(Advanced Natural-based interaction for the ITAlian language)." \
297
+ " Rispondi nella lingua usata per la domanda in modo chiaro, semplice ed esaustivo."
298
+
299
+ messages = [
300
+ {"role": "system", "content": sys},
301
+ {"role": "user", "content": "Chi è Carlo Magno?"}
302
+ ]
303
+
304
+ #Method 1
305
+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
306
+ inputs = tokenizer(prompt, return_tensors="pt", add_special_tokens=False)
307
+ for k,v in inputs.items():
308
+ inputs[k] = v.cuda()
309
+ outputs = model.generate(**inputs, max_new_tokens=512, do_sample=True, top_p=0.9, temperature=0.6)
310
+ results = tokenizer.batch_decode(outputs)[0]
311
+ print(results)
312
+
313
+ #Method 2
314
+ import transformers
315
+ pipe = transformers.pipeline(
316
+ model=model,
317
+ tokenizer=tokenizer,
318
+ return_full_text=False, # langchain expects the full text
319
+ task='text-generation',
320
+ max_new_tokens=512, # max number of tokens to generate in the output
321
+ temperature=0.6, #temperature for more or less creative answers
322
+ do_sample=True,
323
+ top_p=0.9,
324
+ )
325
+
326
+ sequences = pipe(messages)
327
+ for seq in sequences:
328
+ print(f"{seq['generated_text']}")
329
+
330
+ ```
331
+
332
+ <hr>
333
+
334
+ ## Evaluation
335
+
336
+ **Open LLM Leaderboard:**
337
+
338
+ Evaluated with lm-evaluation-benchmark-harness for the [**Open Italian LLMs Leaderboard**](https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard)
339
+ ```
340
+ lm_eval --model hf --model_args pretrained=HUGGINGFACE_MODEL_ID --tasks hellaswag_it,arc_it --device cuda:0 --batch_size auto:2
341
+ lm_eval --model hf --model_args pretrained=HUGGINGFACE_MODEL_ID --tasks m_mmlu_it --num_fewshot 5 --device cuda:0 --batch_size auto:2
342
+ ```
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+
344
+ | Metric | Value |
345
+ |-----------------------|---------------------------|
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+ | Avg. | **0.6160** |
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+ | Arc_IT | 0.5714 |
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+ | Hellaswag_IT | 0.7093 |
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+ | MMLU_IT | 0.5672 |
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+
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+ <hr>
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+
353
+ ## Unsloth
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+
355
+ <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made with unsloth.png" width="200px" align="center" />
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+
357
+ [Unsloth](https://unsloth.ai), a great tool that helps us easily develop products, at a lower cost than expected.
358
+
359
+ ## Citation instructions
360
+ ```bibtex
361
+ @misc{polignano2024advanced,
362
+ title={Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA},
363
+ author={Marco Polignano and Pierpaolo Basile and Giovanni Semeraro},
364
+ year={2024},
365
+ eprint={2405.07101},
366
+ archivePrefix={arXiv},
367
+ primaryClass={cs.CL}
368
+ }
369
+ ```
370
+
371
+ ```bibtex
372
+ @misc{basile2023llamantino,
373
+ title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language},
374
+ author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
375
+ year={2023},
376
+ eprint={2312.09993},
377
+ archivePrefix={arXiv},
378
+ primaryClass={cs.CL}
379
+ }
380
+ ```
381
+
382
+ ```bibtex
383
+ @article{llama3modelcard,
384
+ title={Llama 3 Model Card},
385
+ author={AI@Meta},
386
+ year={2024},
387
+ url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
388
+ }
389
+ ```
390
+
391
+ # Acknowledgments
392
+ We acknowledge the support of the PNRR project [FAIR - Future AI Research (PE00000013)](https://fondazione-fair.it/en/foundation/), Spoke 6 - Symbiotic AI (CUP H97G22000210007) under the NRRP MUR program funded by the NextGenerationEU.
393
+ Models are built on the Leonardo supercomputer with the support of CINECA-Italian Super Computing Resource Allocation, class C project IscrC\_Pro\_MRS (HP10CQO70G).
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+ <img src="https://wiki.u-gov.it/confluence/download/attachments/49842317/image2022-6-21_11-11-44.png?version=1&modificationDate=1655802705000&api=v2" width="600px">
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
396
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_swap-uniba__LLaMAntino-3-ANITA-8B-Inst-DPO-ITA)
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+
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+ | Metric |Value|
399
+ |---------------------------------|----:|
400
+ |Avg. |75.12|
401
+ |AI2 Reasoning Challenge (25-Shot)|74.57|
402
+ |HellaSwag (10-Shot) |92.75|
403
+ |MMLU (5-Shot) |66.85|
404
+ |TruthfulQA (0-shot) |75.93|
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+ |Winogrande (5-shot) |82.00|
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+ |GSM8k (5-shot) |58.61|
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+
config.json ADDED
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+ {
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+ "_name_or_path": "swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "eos_token_id": 128001,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 8192,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 128001,
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+ 128009
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+ "max_length": 8192,
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.41.2"
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+ }
model.yaml ADDED
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+ name: anita-llama3
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+ backend: transformers
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+ parameters:
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+ model: fakezeta/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-ov-int4
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+ context_size: 8192
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+ type: OVModelForCausalLM
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+ template:
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+ use_tokenizer_template: true
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