victoryeverest/SERA-L-3-8B-Aligned

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 15, 2026License:llama3Architecture:Transformer Featherless Exclusive Cold

The victoryeverest/SERA-L-3-8B-Aligned model is an 8 billion parameter instruction-tuned large language model developed by Meta, part of the Llama 3 family. It utilizes an optimized transformer architecture with Grouped-Query Attention (GQA) and has a context length of 8192 tokens. Optimized for dialogue use cases, this model is aligned with human preferences for helpfulness and safety through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). It is intended for commercial and research use in English, excelling in assistant-like chat applications.

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Model Overview

victoryeverest/SERA-L-3-8B-Aligned is an 8 billion parameter instruction-tuned model from Meta's Llama 3 family, designed for generative text tasks. It employs an optimized transformer architecture with Grouped-Query Attention (GQA) for improved inference scalability and supports an 8192-token context length. The model was developed using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to enhance alignment with human preferences for helpfulness and safety.

Key Capabilities

  • Optimized for Dialogue: Specifically instruction-tuned for assistant-like chat applications.
  • Enhanced Safety & Helpfulness: Underwent extensive red teaming and adversarial evaluations, with significant improvements in reducing false refusals compared to previous Llama versions.
  • Strong Performance: Demonstrates notable improvements across various benchmarks, including MMLU (68.4), HumanEval (62.2), and GSM-8K (79.6), outperforming Llama 2 7B and 13B models.
  • Text and Code Generation: Capable of generating both text and code outputs.

Intended Use Cases

  • Assistant-like Chat: Ideal for conversational AI and dialogue systems.
  • Commercial and Research Applications: Suitable for a broad range of English-language tasks.
  • Fine-tuning: Developers can fine-tune the model for specific applications, including other languages, while adhering to the Llama 3 Community License and Acceptable Use Policy.

Finetunes
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