Initial release.

Signed-off-by: Vlad-Andrei Badoiu <[email protected]>

README.md

@@ -1,3 +1,80 @@
 ---
 license: apache-2.0
+datasets:
+- faur-ai/fulg
+language:
+- ro
 ---
+
+# LLMic Model Card
+
+[LLMic: Romanian Foundation Language Model]()
+
+## Model Summary
+
+LLMic is a bilingual Romanian-English foundation model. LLmic is a 3B
+parameters dense decoder-only Transformer model based on Llama2.
+
+## Architecture
+
+| Parameter | Value |
+|-----------|---------|
+| Sequence Length | 2048 |
+| Number of Layers | 24 |
+| Embedding Size | 2,560 |
+| FFN Hidden Size | 10,240 |
+| Number of Heads | 20 |
+| Number of KV Heads | 5 |
+| Activation Function | SiLU |
+| Position Encodings | RoPE (Θ=500,000) |
+| Layer Norm | RMSNorm (ε=10⁻⁵) |
+| Tied Embeddings | No |
+
+## Intended Use
+
+Our model is designed to accelerate research on Romanian language models, serving as a building block for generative AI applications.
+
+## Data Overview 
+
+### Training Datasets 
+
+| Source | Size |
+|---------|------|
+| *Romanian (300B)* | |
+| Web Sources | 621 GB |
+| Discussions, Curated & Parallel | 10 GB |
+| *English (700B)* | |
+| FineWebEdu | -- |
+| Dolma Subset | 109 GB |
+
+#### Benchmark datasets
+
+We evaluated LLMic on the WMT16 language translation benchmark for English-to-Romanian.
+
+| Model | Score |
+|--------|--------|
+| LLMIC | 41.01 |
+| mBART | 38.50 |
+| Llama-3.1-8B-Instruct | 29.02 |
+| RoMistral-7b-Instruct | 27.70 |
+| RoLlama3-8b-Instruct | 27.31 |
+| Mistral-7B-Instruct-v0.2 | 26.19 |
+| RoGemma-7b-Instruct | 25.96 |
+| Gemma-1.1-7b-it | 25.48 |
+
+
+## Citation
+
+**BibTeX:**
+
+```
+@article{llmic,
+      title={LLMic: Romanian Foundation Language Model},
+      author={Vlad-Andrei Bădoiu and Mihai-Valentin Dumitru and Alexandru M. Gherghescu and Alexandru Agache and Costin Raiciu},
+      year={2025},
+      eprint={},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={}, 
+}
+```

config.json

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+{
+  "_name_or_path": "local_model_configs/llmic/config-3b.json",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 5,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0",
+  "unk_token_id": 3,
+  "use_cache": false,
+  "vocab_size": 128000
+}

generation_config.json

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+{
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+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.0",
+  "use_cache": false
+}

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+}

special_tokens_map.json

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+{
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+  "add_eos_token": true,
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