commit af282b87645a50517eb51d350df01b0113e58330 Author: ModelHub XC Date: Wed May 13 09:20:34 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: proxectonos/Carballo-Legal Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..85eadb5 --- /dev/null +++ b/README.md @@ -0,0 +1,147 @@ +--- +library_name: transformers +tags: +- legal +- instruction-tuning +- multilingual +license: mit +language: +- gl +- es +base_model: +- BSC-LT/salamandra-7b-instruct +pipeline_tag: text-generation +datasets: +- proxectonos/corpus_dominio_legal_administrativo +--- + +# Carballo-Legal + +## Table of Contents +
+Click to expand + +- [Carballo-Legal](#carballo-legal) + - [Table of Contents](#table-of-contents) + - [Model description](#model-description) + - [Intended uses and limitations](#intended-uses-and-limitations) + - [How to use](#how-to-use) + - [Training](#training) + - [Tools](#tools) + - [Training data](#training-data) + - [Training hyperparameters](#training-hyperparameters) + - [Framework](#framework) + - [Evaluation](#evaluation) + - [Additional information](#additional-information) + - [Funding](#funding) + - [Cite this model](#cite-this-model) + +
+ +## Model description + +**Carballo-Legal** is a specialized 7B-parameter instruction-tuned model designed for **legal text understanding and generation** in **Galician (GL)** and **Spanish (ES)**. + +It is based on the foundation model [BSC-LT/salamandra-7b-instruct](https://huggingface.co/BSC-LT/salamandra-7b-instruct) and has been further trained on high-quality legal corpora extracted from official public institutions. + +This model enhances Salamandra’s instruction-following abilities with legal language, terminology, document structure, and reasoning patterns found in administrative and legislative texts. + +## Intended uses and limitations + +**Intended uses** +- Legal-oriented text generation (summaries, rephrasing, explanations). +- Chat-style legal assistance (non-professional). +- Downstream fine-tuning for specific legal domains or tasks. + +**Limitations** +- Not a substitute for professional legal interpretation. +- May produce incomplete or incorrect legal statements. +- Not suitable for high-stakes or judicial decision-making. +- Works best for GL and ES; other languages are not reinforced in this checkpoint. + +## How to use + +```python +from datetime import datetime +from transformers import AutoTokenizer, AutoModelForCausalLM +import transformers +import torch + +model_id = "proxectonos/Carballo-Legal" + +text = "Qué sabes sobre o Proxecto Nós?" + +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + device_map="auto", + torch_dtype=torch.bfloat16 + ) + +message = [ { "role": "user", "content": text } ] +date_string = datetime.today().strftime('%Y-%m-%d') + +prompt = tokenizer.apply_chat_template( + message, + tokenize=False, + add_generation_prompt=True, + date_string=date_string +) + +inputs = tokenizer.encode(prompt, add_special_tokens=False, return_tensors="pt") +outputs = model.generate(input_ids=inputs.to(model.device), max_new_tokens=200) +generated_tokens = outputs[0][len(inputs[0]):] +response = self.tokenizer.decode(generated_tokens, skip_special_tokens=False).strip() +response = response.split("<|reserved_token_1|>")[0].strip() +print(response) +``` + +## Training + +### Training data + +The model was trained on a mixture of general instructions and domain-specific legal texts. + +| **Dataset Type** | **Languages** | **Sources** | +|------------------|---------------|-------------| +| Instruction set | GL, ES , PT , CAT , EN | [Galician Instruction Datasets](https://github.com/proxectonos/instruction_datasets) | +| Legal corpus | GL, ES | DOGA, BOP Pontevedra, BOP A Coruña | + +### Training hyperparameters + +- **epochs:** 0.5 +- **dtype:** bf16 +- **block size:** 2048 +- **total batch size:** 128 +- **learning rate:** 2e-6 +- **scheduler:** Linear +- **optimizations:** + - gradient checkpointing: True + - flash attention: True + - liger kernels: True + - DeepSpeed stage: 2 + +### Framework +Training was performed at the **Galician Supercomputing Center (CESGA)** on **2 nodes** with **2× NVIDIA A100 40GB** each, totaling **4 GPUs**, across **2 days**. + +## Evaluation + +Formal evaluation is in progress. Early observations show improved handling of legal terminology, structured documents, and administrative phrasing in GL and ES. + +## Additional information + +## Funding +This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA + +### Cite this model +Please cite the model as follows: + +``` +@misc{carballo_legal_2025, + title = {Carballo-Legal: A Legal Domain Instruction-Tuned Model for Galician and Spanish}, + author = {Proxecto Nós Team}, + year = {2025}, + publisher = {HuggingFace}, + howpublished = {\url{https://huggingface.co/proxectonos/Carballo-Legal}}, +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..9bf9205 --- /dev/null +++ b/config.json @@ -0,0 +1,30 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + 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