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Model: VillanovaAI/Villanova-2B-Base-2512-Preview
Source: Original Platform

.gitattributes

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README.md

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+---
+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** |

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.014,
+  "intermediate_size": 10240,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.3",
+  "use_cache": true,
+  "vocab_size": 256000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.53.3"
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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