初始化项目，由ModelHub XC社区提供模型

Model: aspenita/llama-3-sqlcoder-8b-AWQ
Source: Original Platform

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README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- code
+- autoquant
+- awq
+metrics:
+- accuracy
+pipeline_tag: text-generation
+---
+
+A capable language model for text to SQL generation for Postgres, Redshift and Snowflake that is on-par with the most capable generalist frontier models.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/603bbad3fd770a9997b57cb6/h52Z_OKYBaDDQMFZyU5pF.png)
+
+## Model Description
+
+Developed by: Defog, Inc
+Model type: [Text to SQL]
+License: [CC-by-SA-4.0]
+Finetuned from model: [Meta-Llama-3-8B-Instruct]
+
+## Demo Page
+[https://defog.ai/sqlcoder-demo/](https://defog.ai/sqlcoder-demo/)
+
+## Ideal prompt and inference parameters
+Set temperature to 0, and do not do sampling.
+
+### Prompt
+```
+<|begin_of_text|><|start_header_id|>user<|end_header_id|>
+
+Generate a SQL query to answer this question: `{user_question}`
+{instructions}
+
+DDL statements:
+{create_table_statements}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+The following SQL query best answers the question `{user_question}`:
+```sql
+
+```
+
+## Evaluation
+This model was evaluated on 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/).
+
+## Contact
+Contact us on X at [@defogdata](https://twitter.com/defogdata), or on email at founders@defog.ai

config.json

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+{
+  "_name_or_path": "llama-3-sqlcoder-8b",
+  "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,
+  "quantization_config": {
+    "bits": 4,
+    "group_size": 128,
+    "modules_to_not_convert": null,
+    "quant_method": "awq",
+    "version": "gemm",
+    "zero_point": true
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

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": "4.38.2"
+}

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