commit 77333de3307b244a732d967045cb8e6b0f08f7d5 Author: ModelHub XC Date: Sun May 3 18:39:48 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: stabilityai/japanese-stablelm-instruct-ja_vocab-beta-7b Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a87f268 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.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-00002.safetensors filter=lfs diff=lfs merge=lfs -text +model-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text +tokenizer.model filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..1d464a2 --- /dev/null +++ b/README.md @@ -0,0 +1,132 @@ +--- +language: +- ja +tags: +- japanese-stablelm +- causal-lm +pipeline_tag: text-generation +datasets: +- kunishou/hh-rlhf-49k-ja +- kunishou/databricks-dolly-15k-ja +- kunishou/oasst1-89k-ja +license: +- llama2 +extra_gated_fields: + Name: text + Email: text + Country: text + Organization or Affiliation: text + I allow Stability AI to contact me about information related to its models and research: checkbox +--- + +# Japanese-StableLM-Instruct-JAVocab-Beta-7B + +![A cute robot wearing a kimono writes calligraphy with one single brush](./japanese-stablelm-robot.jpg) + +> A cute robot wearing a kimono writes calligraphy with one single brush — [Stable Diffusion XL](https://clipdrop.co/stable-diffusion) + +## Model Description + +`japanese-stablelm-instruct-ja_vocab-beta-7b` is a 7B-parameter decoder-only language model based on [japanese-stablelm-ja_vocab-beta-7b](https://huggingface.co/stabilityai/japanese-stablelm-instruct-beta-7b) and further fine tuned on Databricks Dolly-15k, Anthropic HH, and other public data. + +Compared to the [standard base model](https://huggingface.co/stabilityai/japanese-stablelm-base-beta-7b), this model uses a tokenizer with an expanded vocabulary derived from Japanese data. This allows it to represent the same amount of text with fewer tokens, which speeds up inference significantly. + +## Usage + +First install additional dependencies in [requirements.txt](./requirements.txt): + +```sh +pip install -r requirements.txt +``` + +Then start generating text with `japanese-stablelm-instruct-ja_vocab-beta-7b` by using the following code snippet: + +```python +import torch +from transformers import AutoTokenizer, AutoModelForCausalLM + +model_name = "stabilityai/japanese-stablelm-instruct-ja_vocab-beta-7b" +tokenizer = AutoTokenizer.from_pretrained(model_name) + +# The next line may need to be modified depending on the environment +model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto") + +def build_prompt(user_query, inputs): + sys_msg = "[INST] <>\nあなたは役立つアシスタントです。\n<>\n\n" + p = sys_msg + user_query + "\n\n" + inputs + " [/INST] " + return p + +user_inputs = { + "user_query": "与えられたことわざの意味を小学生でも分かるように教えてください。", + "inputs": "情けは人のためならず" +} +prompt = build_prompt(**user_inputs) + +input_ids = tokenizer.encode( + prompt, + add_special_tokens=True, + return_tensors="pt" +) + +# this is for reproducibility. +# feel free to change to get different result +seed = 23 +torch.manual_seed(seed) + +tokens = model.generate( + input_ids.to(device=model.device), + max_new_tokens=128, + temperature=0.99, + top_p=0.95, + do_sample=True, +) + +out = tokenizer.decode(tokens[0], skip_special_tokens=True) +print(out) +``` + +We suggest playing with different generation config (`top_p`, `repetition_penalty` etc) to find the best setup for your tasks. For example, use higher temperature for roleplay task, lower temperature for reasoning. + +## Model Details + +* **Model type**: `japanese-stablelm-instruct-ja_vocab-beta-7b` model is an auto-regressive language model based on the Llama2 transformer architecture. +* **Language(s)**: Japanese +* **License**: [Llama2 Community License](https://ai.meta.com/llama/license/). +* **Contact**: For questions and comments about the model, please join [Stable Community Japan](https://discord.gg/StableJP). For future announcements / information about Stability AI models, research, and events, please follow https://twitter.com/StabilityAI_JP. + +## Training Dataset + +The following datasets were used for the instruction training. Note these are Japanese translated versions of the original datasets, shared by [kunishou](https://huggingface.co/kunishou). + +- [Anthropic HH-RLHF](https://huggingface.co/datasets/kunishou/hh-rlhf-49k-ja) +- [Databricks Dolly 15-k](https://huggingface.co/datasets/kunishou/databricks-dolly-15k-ja) +- [OpenAssistant Conversations Dataset](https://huggingface.co/datasets/kunishou/oasst1-89k-ja) + +## Use and Limitations + +### Intended Use + +The model is intended to be used by all individuals as a foundation for application-specific fine-tuning without strict limitations on commercial use. + +### Limitations and bias + +The pre-training dataset may have contained offensive or inappropriate content even after applying data cleansing filters which can be reflected in the model generated text. We recommend users exercise reasonable caution when using these models in production systems. Do not use the model for any applications that may cause harm or distress to individuals or groups. + +## Authors +This model was developed by the Research & Development team at Stability AI Japan, and the development was co-led by [Takuya Akiba](https://huggingface.co/iwiwi) and [Meng Lee](https://huggingface.co/leemeng). The members of the team are as follows: + +- [Meng Lee](https://huggingface.co/leemeng) +- [Fujiki Nakamura](https://huggingface.co/fujiki) +- [Makoto Shing](https://huggingface.co/mkshing) +- [Paul McCann](https://huggingface.co/polm-stability) +- [Takuya Akiba](https://huggingface.co/iwiwi) +- [Naoki Orii](https://huggingface.co/mrorii) + +## Acknowledgements + +We thank Meta Research for releasing Llama 2 under an open license for others to build on. + +We are grateful for the contributions of the EleutherAI Polyglot-JA team in helping us to collect a large amount of pre-training data in Japanese. Polyglot-JA members includes Hyunwoong Ko (Project Lead), Fujiki Nakamura (originally started this project when he commited to the Polyglot team), Yunho Mo, Minji Jung, KeunSeok Im, and Su-Kyeong Jang. + +We are also appreciative of [AI Novelist/Sta (Bit192, Inc.)](https://ai-novel.com/index.php) and the numerous contributors from [Stable Community Japan](https://discord.gg/VPrcE475HB) for assisting us in gathering a large amount of high-quality Japanese textual data for model training. + diff --git a/config.json b/config.json new file mode 100644 index 0000000..b91e827 --- /dev/null +++ b/config.json @@ -0,0 +1,25 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pad_token_id": 0, + 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