初始化项目，由ModelHub XC社区提供模型
Model: wannaphong/han-llm-7b-v3 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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datasets:
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- pythainlp/han-instruct-dataset-v2.0
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language:
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- th
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pipeline_tag: text-generation
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---
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# Model Card for Han LLM 7B v3
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Han LLM 7B v3 is a model that trained by han-instruct-dataset v2.0 and more. The model are working with Thai.
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Base model: [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b)
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[Google colab: Demo Han LLM 7B v3](https://colab.research.google.com/drive/1eC3dIWjBgM2v_UyCopMLawvqqcnQFvmI?usp=sharing)
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Thank you kaggle for free gpu!
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## Model Details
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### Model Description
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The model was trained by LoRA.
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** Wannaphong Phatthiyaphaibun
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- **Model type:** text-generation
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- **Language(s) (NLP):** Thai
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- **License:** apache-2.0
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- **Finetuned from model:** [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b)
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## Uses
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Thai users
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### Out-of-Scope Use
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Math, Coding, and other language
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## Bias, Risks, and Limitations
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The model can has a bias from dataset. Use at your own risks!
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## How to Get Started with the Model
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Use the code below to get started with the model.
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**Example**
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```python
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# !pip install accelerate sentencepiece transformers bitsandbytes
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import torch
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from transformers import pipeline
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pipe = pipeline("text-generation", model="wannaphong/han-llm-7b-v3", torch_dtype=torch.bfloat16, device_map="auto")
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# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
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messages = [
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{"role": "user", "content": "แมวคืออะไร"},
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]
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipe(prompt, max_new_tokens=300, do_sample=True, temperature=0.9, top_k=50, top_p=0.95, no_repeat_ngram_size=2,typical_p=1.)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "scb10x/typhoon-7b",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.38.1",
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"use_cache": true,
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"vocab_size": 35219
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}
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98765
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98765
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File diff suppressed because it is too large
Load Diff
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43
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Normal file
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"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user