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# Ricette Amazon Nova
<a name="nova-model-recipes"></a>

Puoi ottenere una ricetta Amazon Nova dall'archivio delle [ricette](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes). Una ricetta Amazon Nova è un file di configurazione [YAML](https://yaml.org/) che fornisce dettagli SageMaker su come eseguire il processo di personalizzazione del modello. Fornisce il nome del modello di base, imposta gli iperparametri di addestramento, definisce le impostazioni di ottimizzazione e include tutte le opzioni aggiuntive necessarie per eseguire il fine-tuning o addestrare correttamente il modello.

Puoi anche accedere alle ricette di Amazon Nova tramite Amazon SageMaker Studio e accedendo al Model Hub AWS, selezionando ed esplorando i modelli Amazon Nova per trovare le ricette associate. Sia Amazon SageMaker Studio che Amazon forniscono taccuini di esempio per ogni ricetta, che includono tutti i passaggi necessari per modificare le ricette ed eseguire lavori di personalizzazione utilizzando lavori o ambienti di SageMaker formazione. SageMaker HyperPod 

Per accedere alle pagine delle ricette in Amazon SageMaker Studio, il ruolo di esecuzione deve disporre delle seguenti autorizzazioni.

------
#### [ JSON ]

****  

```
{
    "Version":"2012-10-17",		 	 	 
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:GetObject"
            ],
            "Resource": [
                "arn:aws:s3:::*model-customization-recipes*"
            ]
        }
    ]
}
```

------

Per eseguire i taccuini di esempio durante i lavori di SageMaker formazione, utilizza una delle seguenti versioni delle immagini di SageMaker distribuzione:`2.7.1+`,,,. `2.8.0+` `3.2.1+` `3.3.0+` Questo vale sia per Amazon SageMaker Studio che per.

**Topics**
+ [Recupero di ricette Amazon Nova](#nova-model-get-recipes)
+ [Ottenere le ricette di Amazon Nova Forge](#nova-model-get-forge-recipes)
+ [Modelli e algoritmi disponibili](#nova-model-algorithm)
+ [Amazon Nova Lite](#nova-model-recipes-reference-novalite)
+ [Amazon Nova Micro](#nova-model-recipes-reference-novamicro)
+ [Amazon Nova Pro](#nova-model-recipes-reference-novapro)

## Recupero di ricette Amazon Nova
<a name="nova-model-get-recipes"></a>

Per ottenere una ricetta base di Amazon Nova, clona l'archivio delle [ricette](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes) eseguendo il comando seguente.

```
git clone https://github.com/aws/sagemaker-hyperpod-recipes.git
```

Le ricette di base sono disponibili in [https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes/](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes/).

```
cd recipes_collection/recipes/
```

Le ricette di personalizzazione di Amazon Nova si trovano nelle seguenti cartelle.


****  

| Recipe type  | Cartella | 
| --- | --- | 
| SFT (a dimensionalità completa e PEFT), PPO, DPO (a dimensionalità completa e PEFT) | [fine-tuning/nova](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes/fine-tuning/nova) | 
| Valutazione | [evaluation/nova](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes/evaluation/nova) | 
| CPT | [training/nova](https://github.com/aws/sagemaker-hyperpod-recipes/tree/main/recipes_collection/recipes/training) | 

## Ottenere le ricette di Amazon Nova Forge
<a name="nova-model-get-forge-recipes"></a>

Per accedere a ricette specializzate di Amazon Nova Forge per i lavori, [configura il tuo accesso ad Amazon Nova Forge](nova-forge-access.md) e segui [questo workshop](https://catalog.us-east-1.prod.workshops.aws/workshops/dcac6f7a-3c61-4978-8344-7535526bf743/en-US/02-smhp-rig/03-nova-forge) per configurare la versione Forge della CLI. Per SageMaker Training Jobs, AWS Console e Nova Forge SDK accederanno automaticamente alle ricette di Forge.

## Modelli e algoritmi disponibili
<a name="nova-model-algorithm"></a>

La tabella seguente riassume la disponibilità della personalizzazione per i modelli Amazon Nova e gli algoritmi supportati che utilizzano. SageMaker


| Nome modello | ID modello | Fine-tuning | Note | 
| --- |--- |--- |--- |
| Amazon Nova Lite 2.0 | amazon.nova-2-lite-v1:0:256k | Sì |    SFT: accetta testo, and/or immagine o testo video come input e produce testo come output. and/or Un singolo job non può combinare testo, immagini e video nella stessa esecuzione.   DPO - Accetta testo e immagini come input e produce testo come output.   RFT: accetta testo e immagini come input per conversazioni a turno singolo e produce testo come output. Funzionalità di ottimizzazione delle ricompense migliorate.    | 

## Amazon Nova Lite
<a name="nova-model-recipes-reference-novalite"></a>

La tabella seguente elenca informazioni dettagliate sul riferimento alle ricette di Amazon Nova Lite.


****  

| Modello | Categoria/Sottocategoria | Tecnica | Nome della ricetta | URI dell'immagine (Training Jobs) | URI dell'immagine (SageMaker HyperPod) | Istanza di calcolo | 
| --- | --- | --- | --- | --- | --- | --- | 
| Nova Lite | Training/Fine-tuning | Fine-tuning supervisionato (LoRA) |  `nova_lite_1_0_g5_g6_12x_gpu_lora_sft.yaml` `nova_lite_1_0_g5_g6_48x_gpu_lora_sft.yaml` `nova_lite_1_0_p5_p4d_gpu_lora_sft.yaml`  | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest |  `ml.p5.48xlarge`, `ml.p5en.48xlarge`, `ml.g5.12xlarge`, `ml.g6.12xlarge`, `ml.g5.48xlarge`, `ml.g6.48xlarge`  | 
| Nova Lite | Training/Fine-tuning | Fine-tuning supervisionato (completo) | nova\$1lite\$11\$10\$1p5\$1p4d\$1gpu\$1sft.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Lite | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (completa) | nova\$1lite\$11\$10\$1p5\$1p4d\$1gpu\$1dpo.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Lite | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (LoRA) |  `nova_lite_1_0_p5_p4d_gpu_lora_dpo.yaml` `nova_lite_1_0_g5_g6_48x_gpu_lora_dpo.yaml`  | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest |  `ml.p5.48xlarge`, `ml.p5en.48xlarge`, `ml.g5.48xlarge`, `ml.g6.48xlarge`  | 
| Nova Lite | Training/Reinforcement learning | Ottimizzazione precisa del rinforzo (RFT) | nova\$1lite\$11\$10\$1p5\$1gpu\$1ppo.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SMHP-PPO-TRAIN-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Lite | Training/Continued Pre-Training | Preaddestramento continuo (modello di base) | nova\$1lite\$1gpu\$1p5x16\$1pretrain.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:HP-CPT-latest | ml.p5.48xlarge | 
| Nova Lite | Evaluation/Evaluate | Benchmark testuali standard | nova\$1lite\$1p5\$148xl\$1general\$1text\$1benchmark\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Lite | Evaluation/Evaluate | Valutazione dei set di dati personalizzati | nova\$1lite\$1p5\$148xl\$1bring\$1your\$1own\$1dataset\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Lite | Evaluation/Evaluate | Benchmark multimodali | nova\$1lite\$1p5\$148\$1general\$1multi\$1modal\$1benchmark\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Lite | Evaluation/Evaluate | LLM-as-a-judge | nova\$1lite\$1p5\$148xl\$1llm\$1judge\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 

## Amazon Nova Micro
<a name="nova-model-recipes-reference-novamicro"></a>

La tabella seguente elenca informazioni dettagliate sul riferimento alle ricette di Amazon Nova Micro.


****  

| Modello | Categoria/Sottocategoria | Tecnica | Nome della ricetta | URI dell'immagine (Training Jobs) | URI dell'immagine (SageMaker HyperPod) | Istanza di calcolo | 
| --- | --- | --- | --- | --- | --- | --- | 
| Nova Micro | Training/Fine-tuning | Fine-tuning supervisionato (LoRA) |  `nova_micro_1_0_p5_p4d_gpu_lora_sft.yaml` `nova_micro_1_0_g5_g6_12x_gpu_lora_sft.yaml` `nova_micro_1_0_g5_g6_48x_gpu_lora_sft.yaml`  | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest |  `ml.p5.48xlarge`, `ml.p5en.48xlarge`, `ml.p4d.24xlarge`, `ml.g5.12xlarge`, `ml.g6.12xlarge`, `ml.g5.48xlarge`, `ml.g6.48xlarge`  | 
| Nova Micro | Training/Fine-tuning | Fine-tuning supervisionato (completo) |  `nova_micro_1_0_p5_p4d_gpu_sft.yaml` `nova_micro_1_0_g5_g6_48x_gpu_sft.yaml`  | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest |  `ml.p5.48xlarge`, `ml.p5en.48xlarge`, `ml.p4d.24xlarge`, `ml.g5.48xlarge`, `ml.g6.48xlarge`  | 
| Nova Micro | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (LoRA) |  `nova_micro_1_0_g5_g6_12x_gpu_lora_dpo.yaml` `nova_micro_1_0_g5_g6_48x_gpu_lora_dpo.yaml` `nova_micro_1_0_p5_p4d_gpu_lora_dpo.yaml`  | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest |  `ml.p5.48xlarge`, `ml.p5en.48xlarge`, `ml.p4d.24xlarge`, `ml.g5.12xlarge`, `ml.g6.12xlarge`, `ml.g5.48xlarge`, `ml.g6.48xlarge`  | 
| Nova Micro | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (completa) | nova\$1micro\$11\$10\$1p5\$1p4d\$1gpu\$1dpo.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest | ml.p5.48xlarge, ml.p5en.48xlarge, ml.p4d.24xlarge | 
| Nova Micro | Training/Reinforcement learning | Ottimizzazione precisa del rinforzo (RFT) | nova\$1micro\$11\$10\$1p5\$1gpu\$1ppo.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SMHP-PPO-TRAIN-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Micro | Training/Continued Pre-Training | Preaddestramento continuo (modello di base) | nova\$1micro\$1gpu\$1p5x8\$1pretrain.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:HP-CPT-latest | ml.p5.48xlarge | 
| Nova Micro | Evaluation/Evaluate | Benchmark testuale generale | nova\$1micro\$1p5\$148xl\$1general\$1text\$1benchmark\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Micro | Evaluation/Evaluate | Benchmark Bring Your Own Dataset (gen\$1qa) | nova\$1micro\$1p5\$148xl\$1bring\$1your\$1own\$1dataset\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Micro | Evaluation/Evaluate | LLM-as-a-judge | nova\$1micro\$1p5\$148xl\$1llm\$1judge\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 

## Amazon Nova Pro
<a name="nova-model-recipes-reference-novapro"></a>

La tabella seguente elenca informazioni dettagliate sul riferimento alle ricette di Amazon Nova Pro.


****  

| Modello | Categoria/Sottocategoria | Tecnica | Nome della ricetta | URI dell'immagine (Training Jobs) | URI dell'immagine (SageMaker HyperPod) | Istanza di calcolo | 
| --- | --- | --- | --- | --- | --- | --- | 
| Nova Pro | Training/Fine-tuning | Fine-tuning supervisionato (LoRA) | nova\$1pro\$11\$10\$1p5\$1p4d\$1gpu\$1lora\$1sft.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest | ml.p5.48xlarge, ml.p5en.48xlarge, ml.p4d.24xlarge | 
| Nova Pro | Training/Fine-tuning | Fine-tuning supervisionato (completo) | nova\$1pro\$11\$10\$1p5\$1p4d\$1gpu\$1sft.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-SFT-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-SFT-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Pro | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (completa) | nova\$1pro\$11\$10\$1p5\$1gpu\$1dpo.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Pro | Training/Fine-tuning | Ottimizzazione diretta delle preferenze (LoRA) | nova\$1pro\$11\$10\$1p5\$1p4d\$1gpu\$1lora\$1dpo.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-TJ-DPO-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SM-HP-DPO-latest | ml.p5.48xlarge, ml.p5en.48xlarge, ml.p4d.24xlarge | 
| Nova Pro | Training/Reinforcement learning | Ottimizzazione precisa del rinforzo (RFT) | nova\$1pro\$11\$10\$1p5\$1gpu\$1ppo.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:SMHP-PPO-TRAIN-latest | ml.p5.48xlarge, ml.p5en.48xlarge | 
| Nova Pro | Training/Continued Pre-Training | Preaddestramento continuo (modello di base) | nova\$1pro\$1gpu\$1p5x24\$1pretrain.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-fine-tune-repo:HP-CPT-latest | ml.p5.48xlarge | 
| Nova Pro | Training/Data augmentation | Distillazione di modelli per il post-addestramento | nova\$1pro\$1r5\$1cpu\$1distill.yaml | N/A | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-distillation-repo:SM-TJ-DISTILL-LATEST | ml.r5.24xlarge | 
| Nova Pro | Evaluation/Evaluate | Benchmark testuali standard | nova\$1pro\$1p5\$148xl\$1general\$1text\$1benchmark\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Pro | Evaluation/Evaluate | Valutazione dei set di dati personalizzati | nova\$1pro\$1p5\$148xl\$1bring\$1your\$1own\$1dataset\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Pro | Evaluation/Evaluate | Benchmark multimodali | nova\$1pro\$1p5\$148xl\$1general\$1multi\$1modal\$1benchmark\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 
| Nova Pro | Evaluation/Evaluate | LLM-as-a-judge | nova\$1pro\$1p5\$148xl\$1llm\$1judge\$1eval.yaml | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-TJ-Eval-latest | 708977205387.dkr.ecr.us-east-1.amazonaws.com/nova-evaluation-repo:SM-HP-Eval-latest | ml.p5.48xlarge | 