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README.md
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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---
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@@ -72,4 +76,4 @@ print(outputs[0]["generated_text"][-1])
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6. **Resource Intensive**: As a large-scale model with 30 billion parameters, it requires substantial computational resources for both inference and deployment, limiting its use in resource-constrained environments.
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7. **Instruction Ambiguity**: The model’s performance can degrade when instructions are ambiguous, vague, or conflicting, potentially leading to outputs that do not align with user expectations.
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- trl
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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library_name: transformers
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---
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6. **Resource Intensive**: As a large-scale model with 30 billion parameters, it requires substantial computational resources for both inference and deployment, limiting its use in resource-constrained environments.
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7. **Instruction Ambiguity**: The model’s performance can degrade when instructions are ambiguous, vague, or conflicting, potentially leading to outputs that do not align with user expectations.
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