Resilient-Coders/llama

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 23, 2026License:llama3.1Architecture:Transformer Cold

The Resilient-Coders/llama model is an 8 billion parameter instruction-tuned variant from the Meta Llama 3.1 family, built on an optimized Transformer architecture. It is designed for multilingual dialogue use cases, supporting 8 languages including English, German, French, and Spanish, and features a substantial 128k token context length. This model excels in assistant-like chat applications and is optimized for improved inference scalability through Grouped-Query Attention (GQA).

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Llama 3.1 8B Instruct: Multilingual Dialogue and Tool Use

This model is the 8 billion parameter instruction-tuned version from Meta's Llama 3.1 collection, released on July 23, 2024. It is optimized for multilingual dialogue and general-purpose assistant-like chat applications, outperforming many open-source and closed chat models on common benchmarks.

Key Capabilities

  • Multilingual Support: Natively supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, with potential for fine-tuning in other languages.
  • Extended Context Window: Features a 128k token context length, enabling processing of longer inputs and generating more extensive responses.
  • Tool Use: Supports multiple tool use formats, allowing integration with external functions and services for enhanced functionality, with examples provided for transformers integration.
  • Performance: Demonstrates strong performance across various benchmarks, including MMLU (69.4%), HumanEval (72.6% pass@1), and significant improvements in MATH (51.9%) and API-Bank (82.6%) compared to its predecessor.
  • Training: Pretrained on over 15 trillion tokens of publicly available online data with a knowledge cutoff of December 2023, and fine-tuned using SFT and RLHF for alignment with human preferences.

Good For

  • Assistant-like Chatbots: Ideal for building conversational AI agents that require robust multilingual capabilities.
  • Multilingual Applications: Suitable for applications targeting users across diverse linguistic backgrounds.
  • Tool-Augmented Systems: Developers can leverage its tool-use capabilities to create more dynamic and interactive AI systems.
  • Research and Commercial Use: Intended for both research and commercial deployment under the Llama 3.1 Community License.

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