support local LLM #16
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SonglinLyu
reviewed
Dec 23, 2024
generalize_llm.py
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| @@ -87,15 +90,16 @@ def generalization( | |||
| {"role": "user", "content": content}, | |||
| ] | |||
| # 3. get response | |||
| responses = call_with_messages(massages) | |||
| responses = call_with_messages(massages, tokenizer, model, current_device) | |||
| print(responses) | |||
generalize_llm.py
Outdated
| # 3. get response | ||
| responses = call_with_messages(massages) | ||
| responses = call_with_messages(messages, tokenizer, model, current_device) | ||
| print(responses) |
| @@ -146,11 +153,11 @@ def call_with_messages(messages): | |||
| ) | |||
| if response.status_code == HTTPStatus.OK: | |||
| content = response.output.choices[0].message.content | |||
| # print(content) | |||
| #print(content) | |||
| #for index, question in enumerate(questions): | ||
| # file.write(cyphers[index] + "\n") | ||
| # file.write(question + "\n") | ||
| for index,cypher in enumerate(cyphers): |
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因为codellama的话，会出现部分cypher为空的现象，这样以question为index，会导致cyphers[index]超限，所以改成了以cypher为index
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Add the feature to support call local open source model to generate dataset with related model file path or HuggingFace model id