From fa234e39724eefe92e691d928aabe402cfa60be2 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 1 May 2026 16:41:57 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: sbintuitions/sarashina2-13b Source: Original Platform --- .gitattributes | 41 ++++ LICENSE | 21 ++ README.md | 70 ++++++ config.json | 27 +++ configuration.json | 1 + generation_config.json | 6 + model-00001-of-00006.safetensors | 3 + model-00002-of-00006.safetensors | 3 + model-00003-of-00006.safetensors | 3 + model-00004-of-00006.safetensors | 3 + model-00005-of-00006.safetensors | 3 + model-00006-of-00006.safetensors | 3 + model.safetensors.index.json | 370 +++++++++++++++++++++++++++++++ tokenizer.model | 3 + tokenizer_config.json | 135 +++++++++++ 15 files changed, 692 insertions(+) create mode 100644 .gitattributes create mode 100644 LICENSE create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00006.safetensors create mode 100644 model-00002-of-00006.safetensors create mode 100644 model-00003-of-00006.safetensors create mode 100644 model-00004-of-00006.safetensors create mode 100644 model-00005-of-00006.safetensors create mode 100644 model-00006-of-00006.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..9c3d065 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,41 @@ +*.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 +model-00001-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text +model-00002-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text +model-00003-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text +model-00004-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text +model-00005-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text +model-00006-of-00006.safetensors filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..72c5f30 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 SB Intuitions + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..c00420c --- /dev/null +++ b/README.md @@ -0,0 +1,70 @@ +--- +license: mit +language: +- ja +- en +--- + +# Sarashina2-13B + +This repository provides large language models trained by [SB Intuitions](https://www.sbintuitions.co.jp/). + + +## How to use + + +```python +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed + +model = AutoModelForCausalLM.from_pretrained("sbintuitions/sarashina2-13b", torch_dtype=torch.bfloat16, device_map="auto") +tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina2-13b") +# If you want to use slow tokenizer +# tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina2-13b", use_fast=False） +generator = pipeline("text-generation", model=model, tokenizer=tokenizer) +set_seed(123) + +text = generator( + "おはようございます、今日の天気は", + max_length=30, + do_sample=True, + pad_token_id=tokenizer.pad_token_id, + num_return_sequences=3, +) + +for t in text: + print(t) + +``` + +## Configuration + +| Parameters | Vocab size | Training tokens | Architecture | Position type | Layers | Hidden dim | Attention heads | +| :-----: | :-----------: | :-------------: | :------------ | :-----------: | :----: | :--------: | :-------------: | +| [7B](https://huggingface.co/sbintuitions/sarashina2-7b) | 102400 | 2.1T | Llama2 | RoPE | 32 | 4096 | 32 | +| [13B](https://huggingface.co/sbintuitions/sarashina2-13b) | 102400 | 2.1T | Llama2 | RoPE | 40 | 5120 | 40 | +| [70B](https://huggingface.co/sbintuitions/sarashina2-70b) | 102400 | 2.1T | Llama2 | RoPE | 80 | 8192 | 64 | + +## Training Corpus + +For our Japanese training data, we used a Japanese portion of the [Common Crawl corpus](https://commoncrawl.org/), which is the largest Web corpus, as our training dataset. +To clean the training corpus, we used [CCNet](https://github.com/facebookresearch/cc_net) and [HojiChar](https://github.com/HojiChar/HojiChar). +After cleaning, our Japanese training data contains about 1T tokens. + +For our English training data, we extracted English documents from [SlimPajama](https://huggingface.co/datasets/cerebras/SlimPajama-627B) but we removed books3 corpus due to copyright infringement. + +## Tokenization + +We use a [sentencepiece](https://github.com/google/sentencepiece) tokenizer with a unigram language model and byte-fallback. +We do not apply pre-tokenization with Japanese tokenizer. +Thus, a user may directly feed raw sentences into the tokenizer. + + +## Ethical Considerations and Limitations +Sarashina2 has not been tuned to follow an instruction yet. +Therefore, sarashina2 might generate some meaningless sequences, some inaccurate instances or biased/objectionable outputs. +Before using sarashina2, we would like developers to tune models based on human preferences and safety considerations. + +## License + +[MIT License](https://huggingface.co/sbintuitions/sarashina2-7b/blob/main/LICENSE) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..b4db89b --- /dev/null +++ b/config.json @@ -0,0 +1,27 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 40, + "num_hidden_layers": 40, + "num_key_value_heads": 40, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "tie_word_embeddings": false, + "torch_dtype": 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