初始化项目，由ModelHub XC社区提供模型
Model: sapienzanlp/modello-italia-9b-bf16 Source: Original Platform
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README.md
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---
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license: mit
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language:
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- it
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---
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# Model Card for Modello Italia 9B
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This is our UNOFFICIAL conversion of the OFFICIAL model checkpoint of *"Modello Italia 9B"*, the first Large Language Model (LLM) developed by [iGenius](https://it.igenius.ai/) in collaboration [CINECA](https://www.cineca.it/).
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* More information about Modello Italia: [click here](https://it.igenius.ai/language-models).
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## 🚨 Disclaimers
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* This is an UNOFFICIAL conversion of the OFFICIAL model checkpoint released by iGenius.
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* The original model was developed using LitGPT, therefore, the weights need to be converted before they can be used with Hugging Face transformers.
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* **Note:** By using this model, you accept the iGenius' [**terms and conditions**](https://secure.igenius.ai/legal/italia_terms_and_conditions.pdf).
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## 🚨 Biases and Risks
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From the terms and conditions of iGenius for Modello Italia:
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> Modello Italia è concepito per essere utilizzato da tutti e per adattarsi a una vasta gamma di casi
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d'uso. È stato progettato con l'obiettivo di essere accessibile a persone provenienti da
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background, esperienze e prospettive diverse. Modello Italia si rivolge agli utenti e alle loro
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esigenze senza inserire giudizi superflui o normative, riconoscendo al contempo che anche
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contenuti potenzialmente problematici in determinati contesti possono avere scopi validi in altri.
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Il rispetto per la dignità e l'autonomia di tutti gli utenti, specialmente in termini di libertà di
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pensiero ed espressione, è un pilastro fondamentale del suo design. Tuttavia, essendo una nuova
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tecnologia, Modello Italia comporta rischi legati al suo utilizzo. I test condotti finora sono stati
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eseguiti in italiano e non hanno potuto coprire tutte le possibili situazioni. Pertanto, come per
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tutti gli LLM, non è possibile prevedere in anticipo gli output di Modello Italia e il modello
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potrebbe in alcuni casi generare risposte imprecise, tendenziose o altre risposte discutibili. Prima
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di utilizzare Modello Italia in qualsiasi contesto, gli sviluppatori sono fortemente incoraggiati a
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eseguire test di sicurezza e adattamento specifici per le loro applicazioni.
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We are aware of the biases and potential problematic/toxic content that current pretrained large language models exhibit: more specifically, as probabilistic models of (Italian and English) languages, they reflect and amplify the biases of their training data.
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For more information about this issue, please refer to our survey paper:
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* [Biases in Large Language Models: Origins, Inventory, and Discussion](https://dl.acm.org/doi/full/10.1145/3597307)
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## Training dataset
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The following information is based on the information we could gather, that is, it is NOT official.
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Please take it with a pinch of salt as we continue to study Modello Italia.
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* **The training data of Modello Italia is unknown;**
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* Modello Italia is probably trained on around 1T tokens of Italian text;
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* We know that the training data is mostly Italian text and source code;
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* We know that the training data includes text from Editoria Nazionale.
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## Tokenizer
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The following information is based on the information we could gather, that is, it is NOT official.
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Please take it with a pinch of salt as we continue to study Modello Italia.
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* The tokenizer is **vanilla SentencePiece**, probably trained from scratch on Italian data;
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* Vocabulary size is 50000.
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## Model architecture
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The following information is based on the information we could gather, that is, it is NOT official.
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Please take it with a pinch of salt as we continue to study Modello Italia.
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* The model architecture is **based on GPT-NeoX**.
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## Results
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Modello Italia 9B has not been evaluated on standard benchmarks yet.
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We will update this model card with the results soon.
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* **Want to contribute to the evaluation?** Submit a pull request!
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## How to use Modello Italia with Hugging Face transformers
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```python
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import torch
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import transformers as tr
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device = "cuda" if torch.cuda.is_available() else "cpu"
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tokenizer = tr.AutoTokenizer.from_pretrained("sapienzanlp/modello-italia-9b-bf16")
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model = tr.AutoModelForCausalLM.from_pretrained(
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"sapienzanlp/modello-italia-9b-bf16",
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device_map=device,
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torch_dtype=torch.bfloat16
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)
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MY_SYSTEM_PROMPT_SHORT = (
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"Tu sei Modello Italia, un modello di linguaggio naturale addestrato da iGenius."
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)
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prompt = "Ciao, chi sei?"
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messages = [
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{"role": "system", "content": MY_SYSTEM_PROMPT_SHORT},
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{"role": "user", "content": prompt},
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]
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tokenized_chat = tokenizer.apply_chat_template(
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messages, tokenize=True, add_generation_prompt=True, return_tensors="pt"
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).to(device)
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out = model.generate(
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tokenized_chat,
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max_new_tokens=200,
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do_sample=False
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)
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```
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 4096,
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"model_type": "gpt_neox",
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"vocab_size": 50176
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}
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|
||||
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|
||||
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|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
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|
||||
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||||
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|
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|
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|
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|
||||
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|
||||
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|
||||
158066
tokenizer.json
Normal file
158066
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:bd74bea2ba620d87e0a2127d9a21196b862a5cc7942ba4638eb2159bbab3340c
|
||||
size 1090536
|
||||
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
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|
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||||
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||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user