初始化项目，由ModelHub XC社区提供模型

Model: AI-ModelScope/sqlcoder-7b-2
Source: Original Platform

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README.md

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+---
+license: cc-by-sa-4.0
+library_name: transformers
+pipeline_tag: text-generation
+---
+# Update notice
+The model weights were updated at 7 AM UTC on Feb 7, 2024. The new model weights lead to a much more performant model – particularly for joins.
+
+If you downloaded the model before that, please redownload the weights for best performance.
+
+# Model Card for SQLCoder-7B-2
+
+A capable large language model for natural language to SQL generation.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/603bbad3fd770a9997b57cb6/AYUE2y14vy2XkD9MZpScu.png)
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [Defog, Inc](https://defog.ai)
+- **Model type:** [Text to SQL]
+- **License:** [CC-by-SA-4.0]
+- **Finetuned from model:** [CodeLlama-7B]
+
+### Model Sources [optional]
+- [**HuggingFace:**](https://huggingface.co/defog/sqlcoder-70b-alpha)
+- [**GitHub:**](https://github.com/defog-ai/sqlcoder)
+- [**Demo:**](https://defog.ai/sqlcoder-demo/)
+
+## Uses
+
+This model is intended to be used by non-technical users to understand data inside their SQL databases. It is meant as an analytics tool, and not as a database admin tool.
+
+This model has not been trained to reject malicious requests from users with write access to databases, and should only be used by users with read-only access.
+
+## How to Get Started with the Model
+
+Use the code [here](https://github.com/defog-ai/sqlcoder/blob/main/inference.py) to get started with the model.
+
+## Prompt
+
+Please use the following prompt for optimal results. Please remember to use `do_sample=False` and `num_beams=4` for optimal results.
+
+```
+### Task
+Generate a SQL query to answer [QUESTION]{user_question}[/QUESTION]
+
+### Database Schema
+The query will run on a database with the following schema:
+{table_metadata_string_DDL_statements}
+
+### Answer
+Given the database schema, here is the SQL query that [QUESTION]{user_question}[/QUESTION]
+[SQL]
+```
+
+## Evaluation
+
+This model was evaluated on [SQL-Eval](https://github.com/defog-ai/sql-eval), a PostgreSQL based evaluation framework developed by Defog for testing and alignment of model capabilities.
+
+You can read more about the methodology behind SQLEval [here](https://defog.ai/blog/open-sourcing-sqleval/).
+
+### Results
+
+We classified each generated question into one of 6 categories. The table displays the percentage of questions answered correctly by each model, broken down by category.
+
+|                | date | group_by | order_by | ratio | join | where |
+| -------------- | ---- | -------- | -------- | ----- | ---- | ----- |
+| sqlcoder-70b   | 96   | 91.4     | 97.1     | 85.7  | 97.1 | 91.4  |
+| sqlcoder-7b-2  | 96   | 91.4     | 94.3     | 91.4  | 94.3 | 77.1  |
+| sqlcoder-34b   | 80   | 94.3     | 85.7     | 77.1  | 85.7 | 80    |
+| gpt-4          | 72   | 94.3     | 97.1     | 80    | 91.4 | 80    |
+| gpt-4-turbo    | 76   | 91.4     | 91.4     | 62.8  | 88.6 | 77.1  |
+| natural-sql-7b | 56   | 88.6     | 85.7     | 60    | 88.6 | 80    |
+| sqlcoder-7b    | 64   | 82.9     | 74.3     | 54.3  | 74.3 | 74.3  |
+| gpt-3.5        | 72   | 77.1     | 82.8     | 34.3  | 65.7 | 71.4  |
+| claude-2       | 52   | 71.4     | 74.3     | 57.1  | 65.7 | 62.9  |
+
+## Model Card Contact
+
+Contact us on X at [@defogdata](https://twitter.com/defogdata), or on email at [founders@defog.ai](mailto:founders@defog.ai)

config.json

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+  "_name_or_path": "defog/sqlcoder-7b-instruct-ds7",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32016
+}

configuration.json

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generation_config.json

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+  "bos_token_id": 1,
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+  "transformers_version": "4.37.2"
+}

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+    "▁<EOT>"
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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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