Update config.json
Browse files- config.json +8 -8
config.json
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{
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"model_name": "slim-sa-ner-
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"model_ft_base": "slim-sa-ner",
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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-sa-ner",
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"parameters": "
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"description": "slim-sa-ner is a function-calling model, fine-tuned to output structured dictionaries corresponding to sentiment and NER keys",
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"prompt_wrapper": "human_bot",
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"prompt_format": "<human> {context_passage} <classify> sentiment, people, organization, place </classify>\n<bot>:",
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"output_format": "{dictionary consisting of sentiment, people, organization, and place keys}",
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"primary_keys": ["sentiment, people, organization, place"],
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"output_values": ["each key will have a value consisting of a list"],
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"publisher": "llmware",
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"release_date": "
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"test_set": [
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{
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"context": "Citibank announced a reduction in its targets for economic growth in France and the UK last week in light of ongoing concerns about inflation and unemployment, especially in large employers such as Airbus.",
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{
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"model_name": "slim-sa-ner-phi-3-gguf",
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"model_ft_base": "slim-sa-ner-phi-3",
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"quantization": "4Q_K_M GGUF",
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"model_base": "microsoft/phi-3",
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"model_type": "phi3",
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"tokenizer": "llmware/slim-sa-ner-phi-3",
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"parameters": "3.8 billion",
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"description": "slim-sa-ner-phi-3-gguf is a function-calling model, fine-tuned to output structured dictionaries corresponding to sentiment and NER keys",
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"prompt_wrapper": "human_bot",
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"prompt_format": "<human> {context_passage} <classify> sentiment, people, organization, place </classify>\n<bot>:",
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"output_format": "{dictionary consisting of sentiment, people, organization, and place keys}",
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"primary_keys": ["sentiment, people, organization, place"],
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"output_values": ["each key will have a value consisting of a list"],
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"publisher": "llmware",
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"release_date": "august 2024",
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"test_set": [
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{
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"context": "Citibank announced a reduction in its targets for economic growth in France and the UK last week in light of ongoing concerns about inflation and unemployment, especially in large employers such as Airbus.",
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