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

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META_COMMUNITY_LICENSE

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README.md

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+---
+license: cc-by-sa-4.0
+metrics:
+- accuracy
+pipeline_tag: text-generation
+tags:
+- code
+---
+
+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": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
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+  "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": "4.40.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0,
+  "top_p": 1,
+  "transformers_version": "4.40.0"
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