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Model: DataLinguistic/DataLinguistic-34B-V1.0 Source: Original Platform
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README.md
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---
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license: llama2
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metrics:
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- code_eval
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library_name: transformers
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tags:
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- code
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model-index:
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- name: DataLinguistic-34B-V1.0
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results:
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- task:
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type: text-generation
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dataset:
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type: openai_humaneval
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name: HumanEval
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metrics:
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- name: pass@1
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type: pass@1
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value: 0.701
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verified: false
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---
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# DataLinguistic-34B-V1.0 Chinese-English Question Answering Model
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## Model Overview
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DataLinguistic-34B-V1.0 is a Chinese-English question answering model fine-tuned from Huggingface's CodeLlama-34b model with 4-bit quantization on DataLinguistic's proprietary datasets.
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## Model Architecture
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DataLinguistic-34B-4bit-V1.0 inherits the encoder-decoder structure from Llama with 34B parameters.
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## Training Datasets
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The model was trained on the following open-source datasets:
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- Data_OpenSet: Chinese-English question-answering dataset curated from junelee/wizard_vicuna_70k
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- Data_OpenSet2: Chinese-English question-answering dataset curated from garage-bAInd/Open-Platypus
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- Proprietary Chinese-English question-answering dataset collected internally by DataLinguistic (not open-sourced)
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The data is formatted as:
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""
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\<s>please answer my question in datalynn model and Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: {question}\</s>
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## Use Cases
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The model can be used for a wide range of Chinese-English question answering and chatbot applications.
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## Model Advantages
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- Based on huge model CodeLlama-34b with 34B parameters
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- Fine-tuned on large-scale Chinese-English QA datasets for high quality
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## Usage
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1. Install model from Huggingface
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2. Import and initialize model
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3. Input question, generate answer
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## Version
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Current version: DataLinguistic-34B-V1.0
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## Author
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Tang Zhengzheng
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## Contributors
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DataLinguistic team
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# DataLinguistic-34B-V1.0 中英文问答模型
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## 模型简介
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DataLinguistic-34B-V1.0是一个基于Huggingface的CodeLlama-34b模型在DataLinguistic自建数据集上微调的中文英文问答模型。
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## 模型结构
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DataLinguistic-34B-V1.0 inherits the encoder-decoder structure from CodeLlama with 34B parameters.
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## 模型训练数据集
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模型使用了以下开源数据集进行了训练:
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- Data_OpenSet: 基于junelee/wizard_vicuna_70k整理的中英文问答数据集
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- Data_OpenSet2: 基于garage-bAInd/Open-Platypus整理的中英文问答数据集
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- DataLinguistic内部收集的专属中英文问答数据集(未开源)
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数据集采用如下格式:
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\<s>please answer my question in datalynn model and Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: {question}\</s>
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## 应用场景
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该模型可广泛应用于中英文问答、聊天机器人等场景。
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## 模型优势
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- 基于大模型Llama-34b,参数量达34亿
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- 在大规模中英文问答数据集上进行微调,质量较高
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## 使用步骤
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1. 在Huggingface安装模型
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2. 导入并初始化模型
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3. 输入问题,生成回答
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## 版本信息
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当前版本:DataLinguistic-34B-V1.0
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## 作者
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唐正正
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## 贡献者
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DataLinguistic团队
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}
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config.json
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"_name_or_path": "WizardLM/WizardCoder-Python-34B-V1.0",
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"architectures": [
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],
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"model_type": "llama",
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"num_attention_heads": 64,
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"rms_norm_eps": 1e-05,
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"vocab_size": 32001
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}
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||||||
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||||||
|
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||||||
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|
||||||
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|
||||||
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"model.norm.weight": "pytorch_model-00007-of-00007.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
6
special_tokens_map.json
Normal file
6
special_tokens_map.json
Normal file
@@ -0,0 +1,6 @@
|
|||||||
|
{
|
||||||
|
"bos_token": "</s>",
|
||||||
|
"eos_token": "</s>",
|
||||||
|
"pad_token": "</s>",
|
||||||
|
"unk_token": "</s>"
|
||||||
|
}
|
||||||
93400
tokenizer.json
Normal file
93400
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
33
tokenizer_config.json
Normal file
33
tokenizer_config.json
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"__type": "AddedToken",
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": {
|
||||||
|
"__type": "AddedToken",
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"legacy": null,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": null,
|
||||||
|
"padding_side": "right",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": {
|
||||||
|
"__type": "AddedToken",
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": true,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user