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Update README.md

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@@ -3,7 +3,7 @@ license: cc-by-sa-4.0
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  inference: false
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  ---
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- # SLIM-TOPICS
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  <!-- Provide a quick summary of what the model is/does. -->
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@@ -15,7 +15,7 @@ slim-combo-sa-ner-3b combines two of the most popular traditional classifier fun
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  This 'combo' model is designed to illustrate the potential power of using function calls on small, specialized models to enable a single model architecture to combine the capabilities of what were traditionally two separate model architectures on an encoder.
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- SLIM models are designed to generate structured outputs that can be used programmatically as part of a multi-step, multi-model LLM-based automation workflow.
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  Each slim model has a 'quantized tool' version, e.g., [**'slim-combo-tool-3b'**](https://huggingface.co/llmware/slim-combo-tool-3b).
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@@ -37,7 +37,7 @@ Each slim model has a 'quantized tool' version, e.g., [**'slim-combo-tool-3b'**
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  function = "classify"
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  params = "topic"
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- text = "The stock market declined yesterday as investors worried increasingly about the slowing economy."
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  prompt = "<human>: " + text + "\n" + f"<{function}> {params} </{function}>\n<bot>:"
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  inference: false
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  ---
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+ # SLIM-SA-NER-3B
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  <!-- Provide a quick summary of what the model is/does. -->
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  This 'combo' model is designed to illustrate the potential power of using function calls on small, specialized models to enable a single model architecture to combine the capabilities of what were traditionally two separate model architectures on an encoder.
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+ This model is fine-tuned on top of [**llmware/bling-stable-lm-3b-4e1t-v0**](https://huggingface.co/llmware/bling-stable-lm-3b-4e1t-v0), which in turn, is a fine-tune of stabilityai/stablelm-3b-4elt.
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  Each slim model has a 'quantized tool' version, e.g., [**'slim-combo-tool-3b'**](https://huggingface.co/llmware/slim-combo-tool-3b).
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  function = "classify"
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  params = "topic"
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+ text = "Tesla stock declined yesterday 8% in premarket trading after a poorly-received event in San Francisco yesterday, in which the company indicated a likely shortfall in revenue."
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  prompt = "<human>: " + text + "\n" + f"<{function}> {params} </{function}>\n<bot>:"
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