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Model: senjia/llama-3-8B-Instruct-text2sql Source: Original Platform
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README.md
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---
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tags:
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- text-to-image
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- stable-diffusion
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- diffusers
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- template:sd-lora
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base_model: hfl/llama-3-chinese-8b-instruct-v2
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instance_prompt: null
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license: apache-2.0
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---
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<Gallery />
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# llama-3-8B-Instruct-text2sql完整版
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# 项目简介
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模型介绍 该版本是 基于 Llama-3-Chinese-8B-Instruct-v2 进行的微调 项目地址:(https://github.com/dusens/llama-3-8B-Instruct-text2sql)
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# 最近准备更新
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llama-3-sqlcoder-8b 拥有更好理解文件转sql的相关能力 基座模型将换成 llama-3-sqlcoder-8b
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## Baseline
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- 更新日期: 2024/05/11
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- 评价指标: execution accuracy (ex)
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<table style="text-align: center;">
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<tr>
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<th style="text-align: center;">Model</th>
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<th>Method</th>
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<th>Easy</th>
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<th>Medium</th>
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||||
<th>Hard</th>
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||||
<th>Extra</th>
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||||
<th>All</th>
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||||
</tr>
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||||
<tr>
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<td>llama-3-8B-Instruct-text2sql</td>
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<td>lora</td>
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||||
<td>0.938</td>
|
||||
<td>0.782</td>
|
||||
<td>0.581</td>
|
||||
<td>0.524</td>
|
||||
<td>0.768</td>
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||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
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||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
</tr>
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||||
<tr>
|
||||
<td></td>
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<td>base</td>
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||||
<td>0.297</td>
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||||
<td>0.245</td>
|
||||
<td>0.151</td>
|
||||
<td>0.095</td>
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||||
<td>0.230</td>
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</tr>
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<tr>
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<td>Llama2-7B-Chat</td>
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||||
<td>lora</td>
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||||
<td>0.887</td>
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||||
<td>0.641</td>
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||||
<td>0.489</td>
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<td>0.331</td>
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<td>0.626</td>
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</tr>
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<tr>
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<td></td>
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<td>qlora</td>
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<td>0.847</td>
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<td>0.623</td>
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<td>0.466</td>
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<td>0.361</td>
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<td>0.608</td>
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||||
</tr>
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<tr>
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||||
<td></td>
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||||
<td>base</td>
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||||
<td>0</td>
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||||
<td>0</td>
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||||
<td>0</td>
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||||
<td>0</td>
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||||
<td>0</td>
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||||
</tr>
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<tr>
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<td>Llama2-13B-Chat</td>
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<td>lora</td>
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<td>0.907</td>
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<td>0.729</td>
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<td>0.552</td>
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<td>0.343</td>
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<td>0.68</td>
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</tr>
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<tr>
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<td></td>
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<td>qlora</td>
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<td>0.911</td>
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<td>0.7</td>
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<td>0.552</td>
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<td>0.319</td>
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<td>0.664</td>
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</tr>
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<tr>
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||||
<td></td>
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<td>base</td>
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||||
<td>0.214</td>
|
||||
<td>0.177</td>
|
||||
<td>0.092</td>
|
||||
<td>0.036</td>
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<td>0.149</td>
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</tr>
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<tr>
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<td>CodeLlama-7B-Instruct</td>
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<td>lora</td>
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<td>0.923</td>
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<td>0.756</td>
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<td>0.586</td>
|
||||
<td>0.349</td>
|
||||
<td>0.702</td>
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</tr>
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<tr>
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||||
<td></td>
|
||||
<td>qlora</td>
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||||
<td>0.911</td>
|
||||
<td>0.751</td>
|
||||
<td>0.598</td>
|
||||
<td>0.331</td>
|
||||
<td>0.696</td>
|
||||
</tr>
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||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0.698</td>
|
||||
<td>0.601</td>
|
||||
<td>0.408</td>
|
||||
<td>0.271</td>
|
||||
<td>0.539</td>
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||||
</tr>
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<tr>
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<td>CodeLlama-13B-Instruct</td>
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||||
<td>lora</td>
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||||
<td>0.94</td>
|
||||
<td>0.789</td>
|
||||
<td>0.684</td>
|
||||
<td>0.404</td>
|
||||
<td>0.746</td>
|
||||
</tr>
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<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.94</td>
|
||||
<td>0.774</td>
|
||||
<td>0.626</td>
|
||||
<td>0.392</td>
|
||||
<td>0.727</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0.577</td>
|
||||
<td>0.352</td>
|
||||
<td>0.201</td>
|
||||
<td>0.066</td>
|
||||
<td>0.335</td>
|
||||
</tr>
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||||
<tr>
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||||
<td>Baichuan2-7B-Chat</td>
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||||
<td>lora</td>
|
||||
<td>0.871</td>
|
||||
<td>0.63</td>
|
||||
<td>0.448</td>
|
||||
<td>0.295</td>
|
||||
<td>0.603</td>
|
||||
</tr>
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||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.891</td>
|
||||
<td>0.637</td>
|
||||
<td>0.489</td>
|
||||
<td>0.331</td>
|
||||
<td>0.624</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0.581</td>
|
||||
<td>0.413</td>
|
||||
<td>0.264</td>
|
||||
<td>0.187</td>
|
||||
<td>0.392</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Baichuan2-13B-Chat</td>
|
||||
<td>lora</td>
|
||||
<td>0.903</td>
|
||||
<td>0.702</td>
|
||||
<td>0.569</td>
|
||||
<td>0.392</td>
|
||||
<td>0.678</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.895</td>
|
||||
<td>0.675</td>
|
||||
<td>0.58</td>
|
||||
<td>0.343</td>
|
||||
<td>0.659</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0.395</td>
|
||||
<td>0.256</td>
|
||||
<td>0.138</td>
|
||||
<td>0.042</td>
|
||||
<td>0.235</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Qwen-7B-Chat</td>
|
||||
<td>lora</td>
|
||||
<td>0.855</td>
|
||||
<td>0.688</td>
|
||||
<td>0.575</td>
|
||||
<td>0.331</td>
|
||||
<td>0.652</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.911</td>
|
||||
<td>0.675</td>
|
||||
<td>0.575</td>
|
||||
<td>0.343</td>
|
||||
<td>0.662</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0.871</td>
|
||||
<td>0.632</td>
|
||||
<td>0.368</td>
|
||||
<td>0.181</td>
|
||||
<td>0.573</td>
|
||||
</tr>
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||||
<tr>
|
||||
<td>Qwen-14B-Chat</td>
|
||||
<td>lora</td>
|
||||
<td>0.895</td>
|
||||
<td>0.702</td>
|
||||
<td>0.552</td>
|
||||
<td>0.331</td>
|
||||
<td>0.663</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.919</td>
|
||||
<td>0.744</td>
|
||||
<td>0.598</td>
|
||||
<td>0.367</td>
|
||||
<td>0.701</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td></td>
|
||||
<td>base</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
<td>0</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>ChatGLM3-6b</td>
|
||||
<td>lora</td>
|
||||
<td>0.855</td>
|
||||
<td>0.605</td>
|
||||
<td>0.477</td>
|
||||
<td>0.271</td>
|
||||
<td>0.59</td>
|
||||
</tr>
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||||
<tr>
|
||||
<td></td>
|
||||
<td>qlora</td>
|
||||
<td>0.843</td>
|
||||
<td>0.603</td>
|
||||
<td>0.506</td>
|
||||
<td>0.211</td>
|
||||
<td>0.581</td>
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</tr>
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</table>
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## lora下载地址
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| 模型名称 | LoRA版 |
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||||
| :------------------------ | :----------------------------------------------------------: |
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||||
| **llama-3-8B-Instruct-text2sql-lora**<br/> | [[🤖ModelScope]](https://www.modelscope.cn/models/senjia/llama-3-8B-Instruct-text2sql-lora/summary)<br/>|
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## 本项目微调用到的数据集
|
||||
本项目初期使用的训练数据集为 **CSPIDER 中文数据集 Spider数据集 BIRD-SQL 数据集**,该数据集包含多种数据库环境下的中文到SQL的查询转换样本。
|
||||
我们计划在后续阶段引入更多样的中文文本到SQL的样本,以增强模型的泛化能力和准确性。
|
||||
|
||||
- [Spider](https://yale-lily.github.io/spider): 一个跨域的复杂text2sql数据集,包含了10,181条自然语言问句、分布在200个独立数据库中的5,693条SQL,内容覆盖了138个不同的领域。
|
||||
- [BIRD-SQL:](https://bird-bench.github.io/)数据集是一个英文的大规模跨领域文本到SQL基准测试,特别关注大型数据库内容。该数据集包含12,751对文本到SQL数据对和95个数据库,总大小为33.4GB,跨越37个职业领域。BIRD-SQL数据集通过探索三个额外的挑战,即处理大规模和混乱的数据库值、外部知识推理和优化SQL执行效率,缩小了文本到SQL研究与实际应用之间的差距。
|
||||
- [CSpider:](https://drive.google.com/drive/folders/1TxCUq1ydPuBdDdHF3MkHT-8zixluQuLa?usp=sharing)2019年9月,西湖大学提出了一个大型中文数据集CSpider,用于复杂和跨领域的语义解析和Text-to-SQL任务,由2位NLP研究人员和1位计算机专业学生从数据集Spider翻译而来,其中包含200个数据库上的10181个问题和5693个独特的复杂SQL查询,具有涵盖138个不同领域的多个表的数据库。
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|
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|
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28
config.json
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config.json
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{
|
||||
"_name_or_path": "/data/models/llama-3-chinese-8b-instruct-v2",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": 128001,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 8192,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.40.1",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
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1
configuration.json
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1
configuration.json
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||||
{"framework":"Tensorflow","task":"text-generation"}
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12
generation_config.json
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12
generation_config.json
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|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128009
|
||||
],
|
||||
"max_length": 4096,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.40.1"
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
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3
model-00001-of-00004.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e1ce49a25dfb74d63830155888d6398f47af4bb828407601bfc25e60f54df2bf
|
||||
size 4976698672
|
||||
3
model-00002-of-00004.safetensors
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3
model-00002-of-00004.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:88b67775c1a1076fc056d476a5d94043b1f5ad8c2f5fcd0f4428e6c393dbb3b8
|
||||
size 4999802720
|
||||
3
model-00003-of-00004.safetensors
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3
model-00003-of-00004.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:936c78f5cbd9ea78a46a23ae04d1fc587a8127e3c3bd7dcba3a23886076ea963
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}
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||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
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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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"pad_token": {
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||||
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||||
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|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2065
tokenizer_config.json
Normal file
2065
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user