commit 53e1bf2a058d571db52de4f76f3645eb2bc04ae5 Author: ModelHub XC Date: Fri Apr 10 20:31:59 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: tartuNLP/Apertus-EstLLM-8B-1125 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/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..822200d --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,203 @@ +Copyright 2025 - The Swiss AI team. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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It is intended for fine-tuning on downstream tasks rather than direct use for chat or instruction-following. + + +The original [swiss-ai/Apertus-8B-2509](https://huggingface.co/swiss-ai/Apertus-8B-2509) underwent continuous pre-training starting on approximately 35B tokens. +Continued pre-training was performed for a single epoch on: +- Estonian National Corpus (8.6B tokens) +- Python-Edu (3.3B tokens) +- FineMath4-Plus (9.5B tokens) +- General Instruction-Augmented Corpora (7.4B tokens) +- Cosmopedia v2 (6.9B tokens) + +## Model Details + +### Model Description + + +- **Developed by:** [TartuNLP](https://huggingface.co/tartuNLP) and [TalTechNLP](https://huggingface.co/TalTechNLP) research groups +- **Funded by:** Estonian Ministry of Education and Research, “Estonian Language Technology Program 2018-2027” +- **Model type:** Causal Language Model +- **Language(s) (NLP):** Estonian, English +- **License:** Apache 2.0 +- **Finetuned from model:** [swiss-ai/Apertus-8B-2509](https://huggingface.co/swiss-ai/Apertus-8B-2509) + +## Evaluation + +## Logits-based + +### Estonian + +| Model (# parameters ↓) | belebele-et | exam-et | grammar-et | inflection-et | trivia-et | winogrande-et | xcopa-et | GlobalPIQA-et| +|-------|-----------------------------------|--------------------|-----------------|---------------|---------------|---------------|-----------|----| +| utter-project/EuroLLM-9B| 0.699 | _**0.618**_ | 0.663 | 0.44 | 0.371 | 0.692 | 0.712 | 0.69 | +| mistralai/Ministral-3-8B-Base-2512 | 0.263 | 0.528 | 0.641 | 0.585 | 0.316 | 0.623 | 0.56 | 0.6 | +| swiss-ai/Apertus-8B-2509 | 0.768 | 0.607 | 0.789 | 0.478 | 0.329 | 0.711 | 0.678 | 0.73 | +| meta-llama/Llama-3.1-8B | 0.67 | 0.447 | 0.658 | _**0.587**_ | 0.3 | 0.596 | 0.532 | 0.53 | +| **tartuNLP/Apertus-EstLLM-8B-1125** | **0.788** | **0.636** | _**0.834**_ | 0.523 | _**0.389**_ | **0.752** | _**0.73**_ | **0.79** | +| tartuNLP/Llama-3.1-EstLLM-8B-0525 | _**0.772**_ | 0.57 | **0.875** | **0.619** | **0.449** | _**0.74**_ | **0.752** | _**0.78**_ | +| Llammas-base | 0.387 | 0.462 | 0.538 | 0.269 | 0.336 | 0.697 | 0.686 | 0.76 | +| BSC-LT/salamandra-7b | 0.448 | 0.505 | 0.699 | 0.268 | 0.296 | 0.673 | 0.658 | 0.71 | +| Qwen/Qwen2.5-7B | 0.664 | 0.455 | 0.654 | 0.452 | 0.29 | 0.53 | 0.494 | 0.54 | + +### English + + +| Model (# parameters ↓) | belebele-en | MMLU-Redux | winogrande | +|-------|-----------------------------------|---------------|----| +| utter-project/EuroLLM-9B | 0.773 | 0.557 | 0.732 | +| mistralai/Ministral-3-8B-Base-2512 | 0.897 | _**0.729**_ | _**0.771**_ | +| swiss-ai/Apertus-8B-2509 | 0.827 | 0.598 | 0.761 | +| meta-llama/Llama-3.1-8B | _**0.873**_ | 0.649 | **0.785** | +| **tartuNLP/Apertus-EstLLM-8B-1125** | 0.843 | 0.625 | 0.763 | +| tartuNLP/Llama-3.1-EstLLM-8B-0525 | 0.87 | 0.627 | 0.766 | +| tartuNLP/Llammas-base | 0.45 | 0.35 | 0.72 | +| BSC-LT/salamandra-7b | 0.531 | 0.449 | 0.706 | +| Qwen/Qwen2.5-7B | **0.912** | **0.75** | 0.751 | + +### Translation + + +| Model (# parameters ↓) | flores en→et (BLEU) | flores et→en (BLEU) | +|-------|-----------------------------------|---------------| +| utter-project/EuroLLM-9B | **29.0** | **41.2** | +| mistralai/Ministral-3-8B-Base-2512 | 12.6 | 29.6 | +| swiss-ai/Apertus-8B-2509 | 25.0 | _**38.5**_ | +| meta-llama/Llama-3.1-8B | 13.5 | 33.7 | +| **tartuNLP/Apertus-EstLLM-8B-1125** | 27.4 | 37.4 | +| tartuNLP/Llama-3.1-EstLLM-8B-0525 | _**28.1**_ | 36.8 | +| tartuNLP/Llammas-base | 22.0 | 32.7 | +| BSC-LT/salamandra-7b | 14.7 | 18.2 | +| Qwen/Qwen2.5-7B | 5.1 | 27.5 | + +## Limitations + +In addition to the limitations of the original Apertus 8B model, this model has the following: + +- Somewhat limited context size due to the continued training being done with the sequence length of 4096 tokens. + +## Citation + +``` +@misc{dorkin2026estllmenhancingestoniancapabilities, + title={{EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training}}, + author={Aleksei Dorkin and Taido Purason and Emil Kalbaliyev and Hele-Andra Kuulmets and Marii Ojastu and Mark Fišel and Tanel Alumäe and Eleri Aedmaa and Krister Kruusmaa and Kairit Sirts}, + year={2026}, + eprint={2603.02041}, + archivePrefix={arXiv}, + primaryClass={cs.CL}, + url={https://arxiv.org/abs/2603.02041}, +} +``` \ No newline at end of file diff --git a/USAGE_POLICY.md b/USAGE_POLICY.md new file mode 100644 index 0000000..9b7baf4 --- /dev/null +++ b/USAGE_POLICY.md @@ -0,0 +1,9 @@ +Apertus LLM Acceptable Use Policy + +(v1.0 | September 1, 2025) + +The Swiss National AI Institute (SNAI) is a partnership between the two Swiss Federal Institutes of Technology, ETH Zurich and EPFL. + +By using the Apertus LLM you agree to indemnify, defend, and hold harmless ETH Zurich and EPFL against any third-party claims arising from your use of Apertus LLM. + +The training data and the Apertus LLM may contain or generate information that directly or indirectly refers to an identifiable individual (Personal Data). You process Personal Data as independent controller in accordance with applicable data protection law. SNAI will regularly provide a file with hash values for download which you can apply as an output filter to your use of our Apertus LLM. The file reflects data protection deletion requests which have been addressed to SNAI as the developer of the Apertus LLM. It allows you to remove Personal Data contained in the model output. We strongly advise downloading and applying this output filter from SNAI every six months following the release of the model. diff --git a/assets/logo-sinine.png b/assets/logo-sinine.png new file mode 100644 index 0000000..eee9fef Binary files /dev/null and b/assets/logo-sinine.png differ diff --git a/config.json b/config.json new file mode 100644 index 0000000..7963bdd --- /dev/null +++ b/config.json @@ -0,0 +1,38 @@ +{ + "architectures": [ + "ApertusForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "dtype": "bfloat16", + "eos_token_id": 68, + "hidden_act": "xielu", + "hidden_dropout": 0.0, + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 21504, + "max_position_embeddings": 65536, + "mlp_bias": false, + "model_type": "apertus", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pad_token_id": 3, + "post_norm": false, + "qk_norm": true, + "rms_norm_eps": 1e-05, + "rope_scaling": 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