madhuaravind21/patentintel-llama3-1m

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Sep 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The madhuaravind21/patentintel-llama3-1m is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by madhuaravind21. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, building upon the Llama 3.1 architecture.

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Model Overview

The madhuaravind21/patentintel-llama3-1m is an 8 billion parameter instruction-tuned language model, developed by madhuaravind21. It is based on the Llama 3.1 architecture and was fine-tuned from unsloth/llama-3.1-8b-instruct-bnb-4bit.

Key Characteristics

  • Architecture: Llama 3.1 base model.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Context Length: Supports a context length of 8192 tokens.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks, leveraging its instruction-tuned capabilities. Its foundation on Llama 3.1 suggests strong performance in areas such as:

  • Text generation and completion.
  • Question answering.
  • Summarization.
  • Conversational AI.

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