Elio2151/Gemma-2-9B-Instruct-TechnicalAgentFineTuned-Merged_5

TEXT GENERATIONPricing:Input $0.431 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:16kPublished:Sep 11, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Elio2151/Gemma-2-9B-Instruct-TechnicalAgentFineTuned-Merged_5 is a 9 billion parameter Gemma-2 instruction-tuned model developed by Elio2151, fine-tuned for technical agent capabilities. This model leverages Unsloth and Huggingface's TRL library for accelerated training, offering a 16384 token context length. It is designed for applications requiring a capable technical agent, building upon the Gemma-2 architecture.

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Model Overview

Elio2151/Gemma-2-9B-Instruct-TechnicalAgentFineTuned-Merged_5 is a 9 billion parameter instruction-tuned model based on the Gemma-2 architecture, developed by Elio2151. This model was specifically fine-tuned to function as a technical agent, building upon the unsloth/gemma-2-9b-it-bnb-4bit base model.

Key Characteristics

  • Architecture: Gemma-2, a powerful open-source model family.
  • Parameter Count: 9 billion parameters, offering a balance of performance and efficiency.
  • Context Length: Supports a substantial context window of 16384 tokens.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
  • Fine-tuning Focus: Optimized for technical agent applications, suggesting proficiency in technical queries, problem-solving, or code-related tasks.

Intended Use Cases

This model is well-suited for scenarios where a capable technical agent is required. Potential applications include:

  • Assisting with technical documentation and queries.
  • Generating or analyzing code snippets.
  • Providing support in technical troubleshooting contexts.
  • Acting as a conversational agent for technical topics.

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