mwitiderrick
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Update README.md
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README.md
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@@ -12,7 +12,7 @@ formatted_prompt = f"<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistan
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model = TextGeneration(model="hf:nm-testing/TinyLlama-1.1B-Chat-v0.4-pruned50-quant")
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print(model(formatted_prompt, max_new_tokens=300).generations[0].text)
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"""
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Banana bread is a delicious and healthy recipe that is easy to make. Here is a recipe for banana bread:
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Step 5
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"""
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```
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from deepsparse import TextGeneration
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prompt = "How to get in a good university?"
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model = TextGeneration(model="hf:nm-testing/TinyLlama-1.1B-Chat-v0.4-pruned50-quant")
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print(model(formatted_prompt, max_new_tokens=200).generations[0].text)
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"""
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There are several factors to consider when choosing a university:
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It's important to consider the location, faculty, and amenities when choosing a university. It's also important to research the job market and the salaries for jobs in the university. It's also important to research the job market and the
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"""
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## One-shot and Export
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```
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git clone https://github.com/neuralmagic/sparseml
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pip install -e "sparseml[transformers]" "torch<2"
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cd sparseml
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model = TextGeneration(model="hf:nm-testing/TinyLlama-1.1B-Chat-v0.4-pruned50-quant")
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print(model(formatted_prompt, max_new_tokens=300).generations[0].text)
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"""
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Banana bread is a delicious and healthy recipe that is easy to make. Here is a recipe for banana bread:
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Step 5
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"""
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```
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```python
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from deepsparse import TextGeneration
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prompt = "How to get in a good university?"
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model = TextGeneration(model="hf:nm-testing/TinyLlama-1.1B-Chat-v0.4-pruned50-quant")
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print(model(formatted_prompt, max_new_tokens=200).generations[0].text)
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"""
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There are several factors to consider when choosing a university:
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It's important to consider the location, faculty, and amenities when choosing a university. It's also important to research the job market and the salaries for jobs in the university. It's also important to research the job market and the
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"""
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```
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## One-shot and Export
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```bash
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git clone https://github.com/neuralmagic/sparseml
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pip install -e "sparseml[transformers]" "torch<2"
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cd sparseml
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