Update config.json
Browse files- config.json +10 -10
config.json
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@@ -1,18 +1,18 @@
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{
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"model_name": "slim-
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"model_ft_base": "slim-
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"quantization": "4Q_K_M GGUF",
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"model_base": "
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"model_type": "
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"tokenizer": "llmware/slim-
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"tokenizer_local": "
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"parameters": "
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"description": "slim-
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"prompt_wrapper": "human_bot",
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"prompt_format": "<human> {context_passage} <generate> {one of supported primary_key} </generate>\n<bot>:",
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"output_format": "{'question': [question generated from the context passage]}",
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"primary_keys": ["question, answer", "boolean", "multiple choice"],
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"output_values": ["
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"publisher": "llmware",
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"release_date": "may 2024",
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"test_set": [
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{
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"model_name": "slim-qa-gen-tiny-tool",
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"model_ft_base": "slim-qa-gen-tiny",
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"quantization": "4Q_K_M GGUF",
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"model_base": "tinyllama-1.1b-base-3T",
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"model_type": "llama",
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"tokenizer": "llmware/slim-qa-gen-tiny",
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"tokenizer_local": "tokenizer_tl.json",
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"parameters": "1.1 billion",
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"description": "slim-qa-gen-tiny is a function-calling model, fine-tuned to output structured dictionaries",
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"prompt_wrapper": "human_bot",
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"prompt_format": "<human> {context_passage} <generate> {one of supported primary_key} </generate>\n<bot>:",
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"output_format": "{'question': ['question generated from the context passage'], 'answer': ['answer to question']}",
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"primary_keys": ["question, answer", "boolean", "multiple choice"],
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"output_values": ["generates a custom question and answer"],
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"publisher": "llmware",
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"release_date": "may 2024",
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"test_set": [
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