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Model: VillanovaAI/Villanova-2B-Base-2512-Preview
Source: Original Platform
---
 .gitattributes          |   36 ++
 README.md               |  102 ++++
 config.json             |   29 ++
 generation_config.json  |    6 +
 model.safetensors       |    3 +
 special_tokens_map.json |   37 ++
 tokenizer.json          |    3 +
 tokenizer.model         |    3 +
 tokenizer_config.json   | 1102 +++++++++++++++++++++++++++++++++++++++
 9 files changed, 1321 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 README.md
 create mode 100644 config.json
 create mode 100644 generation_config.json
 create mode 100644 model.safetensors
 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer.model
 create mode 100644 tokenizer_config.json

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diff --git a/README.md b/README.md
new file mode 100644
index 0000000..a6ca102
--- /dev/null
+++ b/README.md
@@ -0,0 +1,102 @@
+---
+license: apache-2.0
+language:
+- en
+- de
+- es
+- fr
+- it
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Model Card for Villanova-2B-Base-2512-Preview
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6426a5c798a5be164d38ae44/aULFKOno-4UaH1Le3nkGY.webp" alt="Villanova.AI logo" width="96"/>
+
+Villanova is a family of multilingual and multimodal Large Language Models (LLMs). 
+[VillanovaAI/Villanova-2B-Base-2512-Preview](https://huggingface.co/VillanovaAI/Villanova-2B-Base-2512-Preview) is a base text-only LLM. 
+
+> [!WARNING]
+> **DISCLAIMER:** This model is a preview.
+>
+
+## Model Summary
+Villanova-2B-Base-2512-Preview is a decoder-only transformer of **2B parameters**. 
+
+Villanova-2B-Base-2512-Preview was pre-trained from scratch on **2.2 trillion tokens** drawn from a curated, high-quality corpus, in a two-stage fashion.
+
+It supports 5 languages: **English**, **Italian**, **Spanish**, **French** and **German**.
+
+
+**Stage 1 (0T → 2T tokens)**
+
+Broad, diverse multilingual data mixture with primary focus on the **five** core languages of the Villanova project.
+
+**Stage 2 (2T → 2.2T tokens)**
+
+Cosine annealing learning rate schedule over a mixture of **200B** higher-quality tokens.
+
+
+## How to Use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "VillanovaAI/Villanova-2B-Base-2512-Preview"
+device = "cuda"  # for GPU usage or "cpu" for CPU usage
+
+# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
+
+# prepare the model input
+prompt = "What is gravity?"
+model_inputs = tokenizer([prompt], return_tensors="pt").to(model.device)
+
+# Generate the output
+generated_ids = model.generate(**model_inputs, max_new_tokens=128, do_sample=True, temperature=0.7)
+
+# Get and decode the output
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]
+print(tokenizer.decode(output_ids, skip_special_tokens=True))
+```
+## Evaluation
+Overall performance of Villanova-2B-Base-2512-Preview on English and Multilingual Benchmarks.
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6426a5c798a5be164d38ae44/F2Epnvtr34egkz8hKEQ4T.png" alt="Model size/performance" width="672"/>
+
+
+Detailed results are enlisted in the following tables.
+
+**Global evaluation**:
+
+| **Model** | **Training Tokens (T)** | **Average** | **arc_easy** | **hellaswag** | **hellaswag_de** | **hellaswag_es** | **hellaswag_fr** | **hellaswag_it** | **openbookqa** | **piqa** | **sciq** | **winogrande** | **xcopa_it** | **xnli_de** | **xnli_en** | **xnli_es** | **xnli_fr** |
+|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
+| Minerva-3B-base-v1.0 | 0.66 | 47.20 | 62.33 | 46.28 | 27.20 | 29.69 | 29.02 | 40.01 | 24.60 | 74.27 | 88.00 | 56.75 | **69.60** | 34.54 | 52.13 | 36.31 | 37.35 |
+| EuroLLM-1.7B | 4 | 52.35 | 69.07 | 45.04 | 37.97 | 40.98 | 40.05 | 39.46 | 29.80 | 72.20 | 90.60 | 61.25 | 66.00 | 47.99 | 50.24 | 45.58 | 49.00 |
+| OLMo-2-0425-1B | 4 | 49.15 | 72.73 | **50.79** | 29.79 | 31.34 | 32.60 | 29.19 | 30.00 | **75.95** | 95.30 | **64.72** | 52.60 | 40.00 | 51.77 | 37.63 | 42.89 |
+| salamandra-2b | 13 | 52.90 | 71.04 | 47.19 | 38.01 | 42.07 | 40.60 | 38.56 | 26.80 | 72.69 | 91.90 | 61.72 | 65.40 | 47.79 | 51.97 | **49.08** | 48.67 |
+| Qwen3-1.7B-Base | - | 53.32 | 73.61 | 49.29 | 37.54 | 40.73 | 39.27 | 38.45 | **30.20** | 75.90 | **95.80** | 64.01 | 64.20 | 46.47 | **54.50** | 44.06 | 45.78 |
+| **Villanova-2B-Base-2512-Preview** | 2.2 | **55.25** | **75.13** | 48.57 | **42.06** | **45.72** | **44.62** | **43.32** | 26.60 | 75.08 | 94.40 | 61.96 | 68.40 | **49.36** | 52.21 | 49.04 | **52.33** |
+
+**English only**:
+
+| **Model** | **Average** | **arc_easy** | **hellaswag** | **openbookqa** | **piqa** | **sciq** | **winogrande** | **xnli_en** |
+|---|---|---|---|---|---|---|---|---|
+| Minerva-3B-base-v1.0 | 57.76 | 62.33 | 46.28 | 24.60 | 74.27 | 88.00 | 56.75 | 52.13 |
+| EuroLLM-1.7B | 59.74 | 69.07 | 45.04 | 29.80 | 72.20 | 90.60 | 61.25 | 50.24 |
+| OLMo-2-0425-1B | 63.04 | 72.73 | **50.79** | 30.00 | **75.95** | 95.30 | **64.72** | 51.77 |
+| salamandra-2b | 60.47 | 71.04 | 47.19 | 26.80 | 72.69 | 91.90 | 61.72 | 51.97 |
+| Qwen3-1.7B-Base | **63.33** | 73.61 | 49.29 | **30.20** | 75.90 | **95.80** | 64.01 | **54.50** |
+| **Villanova-2B-Base-2512-Preview** | 61.99 | **75.13** | 48.57 | 26.60 | 75.08 | 94.40 | 61.96 | 52.21 |
+
+**Multilingual Benchmarks**:
+
+| **Model** | **Average** | **hellaswag_de** | **hellaswag_es** | **hellaswag_fr** | **hellaswag_it** | **xcopa_it** | **xnli_de** | **xnli_es** | **xnli_fr** |
+|---|---|---|---|---|---|---|---|---|---|
+| Minerva-3B-base-v1.0 | 37.96 | 27.20 | 29.69 | 29.02 | 40.01 | **69.60** | 34.54 | 36.31 | 37.35 |
+| EuroLLM-1.7B | 45.88 | 37.97 | 40.98 | 40.05 | 39.46 | 66.00 | 47.99 | 45.58 | 49.00 |
+| OLMo-2-0425-1B | 37.01 | 29.79 | 31.34 | 32.60 | 29.19 | 52.60 | 40.00 | 37.63 | 42.89 |
+| salamandra-2b | 46.27 | 38.01 | 42.07 | 40.60 | 38.56 | 65.40 | 47.79 | **49.08** | 48.67 |
+| Qwen3-1.7B-Base | 44.56 | 37.54 | 40.73 | 39.27 | 38.45 | 64.20 | 46.47 | 44.06 | 45.78 |
+| **Villanova-2B-Base-2512-Preview** | **49.36** | **42.06** | **45.72** | **44.62** | **43.32** | 68.40 | **49.36** | 49.04 | **52.33** |
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
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+  ],
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+  "attention_dropout": 0.0,
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+  "hidden_act": "silu",
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+  "intermediate_size": 10240,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
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+  "num_hidden_layers": 18,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.3",
+  "use_cache": true,
+  "vocab_size": 256000
+}
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