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Model: swap-uniba/LLaVA-NDiNO_pt_short_it
Source: Original Platform

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README.md

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+---
+license: llama3
+datasets:
+- swap-uniba/the_cauldron_ita
+language:
+- it
+base_model:
+- meta-llama/Meta-Llama-3-8B
+- openai/clip-vit-large-patch14-336
+pipeline_tag: text-generation
+---
+
+# Model Card for LLaVA-NDiNO_pt_short_it
+
+## Model description
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+**LLaVA-NDiNO** is a family of *Large Vision Language Models (LVLMs)* that have been trained for the Italian language. 
+
+The model was trained by instruction-tuning [**LLaVA-NDiNO_pt**](https://huggingface.co/m-elio/LLaVA-NDiNO_pt) on an Italian machine-translated version of [The Cauldron](HuggingFaceM4/the_cauldron).
+
+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/LLaVA-NDiNO
+
+- **Developed by:** Elio Musacchio, Lucia Siciliani, Pierpaolo Basile, Giovanni Semeraro
+- **Funded by:** PNRR project FAIR - Future AI Research
+- **Compute infrastructure:** [Leonardo](https://www.hpc.cineca.it/systems/hardware/leonardo/) supercomputer
+- **Model type:** LLaMA 3 + CLIP
+- **Language(s) (NLP):** Italian
+- **License:** Llama 3 Community License 
+- **Finetuned from model:** [swap-uniba/LLaVA-NDiNO_pt](https://huggingface.co/swap-uniba/LLaVA-NDiNO_pt)
+
+
+## Example Usage
+
+```python
+import torch
+import requests
+
+from PIL import Image
+from transformers import LlavaNextProcessor, LlavaNextForConditionalGeneration, set_seed
+
+model_name = "swap-uniba/LLaVA-NDiNO_pt_short_it"
+
+processor = LlavaNextProcessor.from_pretrained(model_name)
+model = LlavaNextForConditionalGeneration.from_pretrained(model_name, torch_dtype=torch.bfloat16, low_cpu_mem_usage=True, device_map="auto") 
+
+url = "https://www.barnorama.com/wp-content/uploads/2016/12/03-Confusing-Pictures.jpg"
+image = Image.open(requests.get(url, stream=True).raw)
+
+chat_template = "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}"
+
+conversation = [
+    {
+        "role": "user",
+        "content": "<image>\nCosa c'è di strano in questa immagine?"
+    },
+]
+
+prompt = processor.apply_chat_template(conversation, chat_template, add_generation_prompt=True)
+inputs = processor(prompt, image, return_tensors="pt")
+
+set_seed(42)
+output = model.generate(**inputs, max_new_tokens=4096)
+
+print(processor.decode(output[0][inputs.input_ids.shape[1]:]))
+```
+
+## Citation
+
+```
+@inproceedings{musacchioLLaVANDiNO,
+  title={LLaVA-NDiNO: Empowering LLMs with Multimodality for the Italian Language},
+  author={Musacchio, Elio and Siciliani, Lucia and Basile, Pierpaolo and Semeraro, Giovanni},
+  booktitle={Proceedings of the Eighth Workshop on Natural Language for Artificial Intelligence (NL4AI 2024) co-located with 23th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2024)},
+  year={2024}
+}
+```

config.json

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+{
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_token_index": 128256,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "models/Meta-Llama-3-8B",
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
+    "bos_token_id": 128000,
+    "eos_token_id": 128009,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 8192,
+    "model_type": "llama",
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 500000.0,
+    "torch_dtype": "bfloat16",
+    "vocab_size": 128320
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.44.0",
+  "use_image_newline_parameter": true,
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "transformers_version": "4.44.0"
+}

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+}

preprocessor_config.json

@@ -0,0 +1,51 @@
+{
+  "crop_size": {
+    "height": 336,
+    "width": 336
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "LlavaNextImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "processor_class": "LlavaNextProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 336
+  }
+}

special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}