theocolf/vora-x-intermediaire

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 7, 2026Architecture:Transformer Featherless Exclusive Cold

Theocolf/vora-x-intermediaire is an 8 billion parameter language model created by theocolf, resulting from a linear merge of theocolf/vora-x-bloc1 and MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct. This model leverages the strengths of its base models, including a Llama 3 variant, to offer enhanced capabilities. With an 8192-token context length, it is designed for general language tasks, potentially with a focus on Arabic language processing due to one of its merged components.

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Model Overview

Theocolf/vora-x-intermediaire is an 8 billion parameter language model developed by theocolf. It was created using the mergekit tool, specifically employing the Linear merge method to combine pre-trained models.

Merge Details

This model is a composite of two distinct base models:

  • Base Model: theocolf/vora-x-bloc1 (contributing 57% weight)
  • Merged Component: MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct (contributing 43% weight)

The inclusion of Arabic-Orpo-Llama-3-8B-Instruct suggests potential strengths in Arabic language understanding and instruction following, building upon the Llama 3 architecture. The model maintains an 8192-token context length, suitable for processing moderately long texts.

Key Characteristics

  • Architecture: Merged model, incorporating a Llama 3 variant.
  • Parameter Count: 8 billion parameters.
  • Context Length: 8192 tokens.
  • Development Method: Linear merge using mergekit.

Potential Use Cases

Given its merged components, theocolf/vora-x-intermediaire could be particularly well-suited for:

  • General text generation and understanding tasks.
  • Applications requiring instruction-following capabilities.
  • Tasks involving the Arabic language, benefiting from the Arabic-Orpo-Llama-3-8B-Instruct component.

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