commit 14e22c812bdffbf0cc3423c3c3fe224989157647 Author: ModelHub XC Date: Sun Jun 7 07:18:15 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: proxectonos/Carvalho-Salamandra-Instruct 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..cd96efb --- /dev/null +++ b/README.md @@ -0,0 +1,156 @@ +--- +library_name: transformers +license: mit +language: +- gl +- pt +- es +- en +- ca +base_model: +- BSC-LT/salamandra-7b-instruct +pipeline_tag: text-generation +tags: +- Salamandra +- Instruction-tuning +- Multilingual +datasets: +- proxectonos/cpt_instruction_datasets +--- + +# Carvalho-Salamandra-Instruct + +> [!WARNING] +> **WARNING:** This is a preliminary version of Carvalho-Salamandra-Instruct. + +## Table of Contents +
+Click to expand + +- [Carvalho-Salamandra-Instruct](#carvalho-salamandra-instruct) + - [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 + +**Carvalho-Salamandra-Instruct** is a 7B-parameter instruction-tuned transformer model covering Galician, Portuguese, Spanish, English and Catalan. + +It is based on [BSC-LT/salamandra-7b-instruct](https://huggingface.co/BSC-LT/salamandra-7b-instruct) and was further adapted through a 1-epoch training run using high-quality multilingual corpora, with a marked emphasis on Galician and Portuguese. + +This model aims to provide strong instruction-following and generation capabilities for underrepresented languages while maintaining robust multilingual behavior. + +## Intended uses and limitations + +**Intended uses** +- Instruction following and dialogue-style generation. +- Multilingual text generation and content creation. +- Downstream fine-tuning for tasks such as summarization, classification, or question answering (with appropriate supervised data). + +**Limitations** +- Not intended as a sole source for high-stakes or safety-critical decisions. +- May produce incorrect or biased factual information — verify outputs when accuracy matters. +- Performance may vary by language and domain; best results in Galician and Portuguese given training emphasis. + +## How to use + +```python +from datetime import datetime +from transformers import AutoTokenizer, AutoModelForCausalLM +import transformers +import torch + +model_id = "proxectonos/Carvalho-Salamandra-Instruct" + +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 with a mix of instruction data and high-quality monolingual corpora, designed to maximize performance in Galician and Portuguese while preserving broad multilingual capabilities. + +| **Dataset Type** | **Languages** | **Tokens per language/Source** | +|----------------------|------------------------------|------------| +| Full instruction set | GL , ES , PT , CAT , EN | [Galician Instruction Datasets](https://github.com/proxectonos/instruction_datasets) | +| High-quality corpus | GL, PT | 250M | +| Small HQ corpus | EN, ES, CAT | 30M | + +### Training hyperparameters + +- **epochs:** 1 +- **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)** using **2 nodes** (each with **2× NVIDIA A100 40GB**) — a total of **4 GPUs** — across **2 days**. + +## Evaluation + +Formal evaluation is ongoing. Preliminary internal tests show strong instruction-following ability and improved generation quality for Galician and Portuguese compared to the base model. Detailed benchmarks and quantitative results will be added when available. + +## 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 this model as: + +``` +@misc{carvalho_salamandra_instruct_2025, + title = {Carvalho-Salamandra-Instruct: A Multilingual Instruction-Tuned Model for Underrepresented Languages}, + author = {Proxecto Nós Team}, + year = {2025}, + publisher = {HuggingFace}, + howpublished = {\url{https://huggingface.co/proxectonos/Carvalho-Salamandra-Instruct}}, +} + +``` \ 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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