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Model: swap-uniba/LLaMAntino-2-chat-13b-hf-UltraChat-ITA Source: Original Platform
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Notice.txt
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Notice.txt
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Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
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“Llama 2” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.
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Prohibited Uses
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We want everyone to use Llama 2 safely and responsibly. You agree you will not use, or allow others to use, Llama 2 to:
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131
README.md
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---
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license: llama2
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language:
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- it
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tags:
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- text-generation-inference
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---
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<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" alt="llamantino53" border="0" width="200px">
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||||
# Model Card for LLaMAntino-2-chat-13b-UltraChat-ITA
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*Last Update: 08/01/2024*<br>
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||||
*Example of Use*: [Colab Notebook](https://colab.research.google.com/drive/1xUite70ANLQp8NwQE93jlI3epj_cpua7?usp=sharing)
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<hr>
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||||
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||||
## Model description
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||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
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||||
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||||
**LLaMAntino-2-chat-13b-UltraChat** is a *Large Language Model (LLM)* that is an instruction-tuned version of **LLaMAntino-2-chat-13b** (an italian-adapted **LLaMA 2 chat**).
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This model aims to provide Italian NLP researchers with an improved model for italian dialogue use cases.
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The model was trained using *QLora* and using as training data [UltraChat](https://github.com/thunlp/ultrachat) translated to the italian language using [Argos Translate](https://pypi.org/project/argostranslate/1.4.0/).
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If you are interested in more details regarding the training procedure, you can find the code we used at the following link:
|
||||
- **Repository:** https://github.com/swapUniba/LLaMAntino
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**NOTICE**: the code has not been released yet, we apologize for the delay, it will be available asap!
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- **Developed by:** Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro
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- **Funded by:** PNRR project FAIR - Future AI Research
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- **Compute infrastructure:** [Leonardo](https://www.hpc.cineca.it/systems/hardware/leonardo/) supercomputer
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- **Model type:** LLaMA-2-chat
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- **Language(s) (NLP):** Italian
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- **License:** Llama 2 Community License
|
||||
- **Finetuned from model:** [swap-uniba/LLaMAntino-2-chat-13b-hf-ITA](https://huggingface.co/swap-uniba/LLaMAntino-2-chat-13b-hf-ITA)
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## Prompt Format
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This prompt format based on the [LLaMA 2 prompt template](https://gpus.llm-utils.org/llama-2-prompt-template/) adapted to the italian language was used:
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||||
```python
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" [INST]<<SYS>>\n" \
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||||
"Sei un assistente disponibile, rispettoso e onesto. " \
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"Rispondi sempre nel modo piu' utile possibile, pur essendo sicuro. " \
|
||||
"Le risposte non devono includere contenuti dannosi, non etici, razzisti, sessisti, tossici, pericolosi o illegali. " \
|
||||
"Assicurati che le tue risposte siano socialmente imparziali e positive. " \
|
||||
"Se una domanda non ha senso o non e' coerente con i fatti, spiegane il motivo invece di rispondere in modo non corretto. " \
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"Se non conosci la risposta a una domanda, non condividere informazioni false.\n" \
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"<</SYS>>\n\n" \
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f"{user_msg_1}[/INST] {model_answer_1} </s> <s> [INST]{user_msg_2}[/INST] {model_answer_2} </s> ... <s> [INST]{user_msg_N}[/INST] {model_answer_N} </s>"
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||||
```
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We recommend using the same prompt in inference to obtain the best results!
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## How to Get Started with the Model
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||||
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||||
Below you can find an example of model usage:
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||||
```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "swap-uniba/LLaMAntino-2-chat-13b-hf-UltraChat-ITA"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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user_msg = "Ciao! Come stai?"
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||||
prompt = " [INST]<<SYS>>\n" \
|
||||
"Sei un assistente disponibile, rispettoso e onesto. " \
|
||||
"Rispondi sempre nel modo piu' utile possibile, pur essendo sicuro. " \
|
||||
"Le risposte non devono includere contenuti dannosi, non etici, razzisti, sessisti, tossici, pericolosi o illegali. " \
|
||||
"Assicurati che le tue risposte siano socialmente imparziali e positive. " \
|
||||
"Se una domanda non ha senso o non e' coerente con i fatti, spiegane il motivo invece di rispondere in modo non corretto. " \
|
||||
"Se non conosci la risposta a una domanda, non condividere informazioni false.\n" \
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||||
"<</SYS>>\n\n" \
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f"{user_msg}[/INST]"
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pipe = transformers.pipeline(
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model=model,
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tokenizer=tokenizer,
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return_full_text=False, # langchain expects the full text
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task='text-generation',
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max_new_tokens=512, # max number of tokens to generate in the output
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temperature=0.8 #temperature for more or less creative answers
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)
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# Method 1
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sequences = pipe(text)
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for seq in sequences:
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print(f"{seq['generated_text']}")
|
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# Method 2
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
|
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outputs = model.generate(input_ids=input_ids, max_length=512)
|
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print(tokenizer.batch_decode(outputs.detach().cpu().numpy()[:, input_ids.shape[1]:], skip_special_tokens=True)[0])
|
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```
|
||||
|
||||
If you are facing issues when loading the model, you can try to load it **Quantized**:
|
||||
|
||||
```python
|
||||
model = AutoModelForCausalLM.from_pretrained(model_id, load_in_8bit=True)
|
||||
```
|
||||
|
||||
*Note*:
|
||||
1) The model loading strategy above requires the [*bitsandbytes*](https://pypi.org/project/bitsandbytes/) and [*accelerate*](https://pypi.org/project/accelerate/) libraries
|
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2) The Tokenizer, by default, adds at the beginning of the prompt the '\<BOS\>' token. If that is not the case, add as a starting token the *\<s\>* string.
|
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|
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## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
*Coming soon*!
|
||||
|
||||
## Citation
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
If you use this model in your research, please cite the following:
|
||||
|
||||
```bibtex
|
||||
@misc{basile2023llamantino,
|
||||
title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language},
|
||||
author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
|
||||
year={2023},
|
||||
eprint={2312.09993},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.CL}
|
||||
}
|
||||
```
|
||||
|
||||
*Notice:* Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. [*License*](https://ai.meta.com/llama/license/)
|
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3
added_tokens.json
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{
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"<pad>": 32000
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}
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26
config.json
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{
|
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"_name_or_path": "swap-uniba/LLaMAntino-2-chat-13b-hf-UltraChat-ITA",
|
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"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"bos_token_id": 1,
|
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"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 13824,
|
||||
"max_position_embeddings": 4096,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 40,
|
||||
"num_hidden_layers": 40,
|
||||
"num_key_value_heads": 40,
|
||||
"pad_token_id": 0,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.31.0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 32000
|
||||
}
|
||||
9
generation_config.json
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{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"pad_token_id": 0,
|
||||
"temperature": 0.9,
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||||
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||||
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||||
1894
res_ultrachat_13B.txt
Normal file
1894
res_ultrachat_13B.txt
Normal file
File diff suppressed because one or more lines are too long
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
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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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||||
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||||
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||||
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||||
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|
||||
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|
||||
}
|
||||
}
|
||||
93427
tokenizer.json
Normal file
93427
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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
32
tokenizer_config.json
Normal file
32
tokenizer_config.json
Normal file
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
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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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||||
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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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||||
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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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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user