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Model: tomasonjo/text2cypher-demo-16bit
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+base_model: unsloth/llama-3-8b-Instruct
+datasets:
+- tomasonjo/text2cypher-gpt4o-clean
+---
+
+# Uploaded  model
+
+- **Developed by:** tomasonjo
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/llama-3-8b-Instruct
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+**For more information visit [this link](https://github.com/neo4j-labs/text2cypher/tree/main/finetuning/unsloth-llama3#using-chat-prompt-template)**
+
+
+## Example usage:
+
+Install dependencies. Check [Unsloth documentation](https://github.com/unslothai/unsloth) for specific installation for other environments.
+
+````python
+%%capture
+# Installs Unsloth, Xformers (Flash Attention) and all other packages!
+!pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+!pip install --no-deps "xformers<0.0.26" trl peft accelerate bitsandbytes
+````
+
+Then you can load the model and use it as inference
+
+```python
+from unsloth.chat_templates import get_chat_template
+
+tokenizer = get_chat_template(
+    tokenizer,
+    chat_template = "llama-3", 
+    map_eos_token = True, 
+)
+
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+
+schema = """Node properties: - **Question** - `favorites`: INTEGER Example: "0" - `answered`: BOOLEAN - `text`: STRING Example: "### This is: Bug ### Specifications OS: Win10" - `link`: STRING Example: "https://stackoverflow.com/questions/62224586/playg" - `createdAt`: DATE_TIME Min: 2020-06-05T16:57:19Z, Max: 2020-06-05T21:49:16Z - `title`: STRING Example: "Playground is not loading with apollo-server-lambd" - `id`: INTEGER Min: 62220505, Max: 62224586 - `upVotes`: INTEGER Example: "0" - `score`: INTEGER Example: "-1" - `downVotes`: INTEGER Example: "1" - **Tag** - `name`: STRING Example: "aws-lambda" - **User** - `image`: STRING Example: "https://lh3.googleusercontent.com/-NcFYSuXU0nk/AAA" - `link`: STRING Example: "https://stackoverflow.com/users/10251021/alexandre" - `id`: INTEGER Min: 751, Max: 13681006 - `reputation`: INTEGER Min: 1, Max: 420137 - `display_name`: STRING Example: "Alexandre Le" Relationship properties: The relationships: (:Question)-[:TAGGED]->(:Tag) (:User)-[:ASKED]->(:Question)"""
+question = "Identify the top 5 questions with the most downVotes."
+
+messages = [
+      {"role": "system", "content": "Given an input question, convert it to a Cypher query. No pre-amble."},
+      {"role": "user", "content": f"""Based on the Neo4j graph schema below, write a Cypher query that would answer the user's question:
+{schema}
+
+Question: {question}
+Cypher query:"""}
+]
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize = True,
+    add_generation_prompt = True, # Must add for generation
+    return_tensors = "pt",
+).to("cuda")
+
+outputs = model.generate(input_ids = inputs, max_new_tokens = 128, use_cache = True)
+tokenizer.batch_decode(outputs)
+```