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README.md
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README.md
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---
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license: Apache License 2.0
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- meta-llama/Meta-Llama-3-8B-Instruct
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- arcee-ai/llama3-sqlcoder-zilo
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base_model: arcee-ai/llama-3-zilo-sql
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pipeline_tag: text-generation
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---
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### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。
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#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('QuantFactory/llama-3-zilo-sql-GGUF')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/QuantFactory/llama-3-zilo-sql-GGUF.git
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```
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# llama-3-zilo-sql-GGUF
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This is quantized version of [arcee-ai/llama-3-zilo-sql](https://huggingface.co/arcee-ai/llama-3-zilo-sql) created using llama.cpp
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<p style="color: lightgrey;">如果您是本模型的贡献者,我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>,及时完善模型卡片内容。</p>
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# Model Description
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llama-3-zilo-sql is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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* [arcee-ai/llama3-sqlcoder-zilo](https://huggingface.co/arcee-ai/llama3-sqlcoder-zilo)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: meta-llama/Meta-Llama-3-8B-Instruct
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layer_range: [0, 32]
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- model: arcee-ai/llama3-sqlcoder-zilo
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layer_range: [0, 32]
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merge_method: slerp
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base_model: arcee-ai/llama3-sqlcoder-zilo
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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