arkoda/arkoda-7b-v7-2-1
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Apr 29, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The arkoda/arkoda-7b-v7-2-1 is a 7.6 billion parameter Qwen2-based causal language model developed by arkoda. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for general instruction-following tasks, leveraging its Qwen2 architecture for robust language generation and comprehension.
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Overview
arkoda/arkoda-7b-v7-2-1 is a 7.6 billion parameter instruction-tuned language model built upon the Qwen2 architecture. Developed by arkoda, this model was fine-tuned using a combination of Unsloth and Huggingface's TRL library, which facilitated a significantly faster training process.
Key Capabilities
- Instruction Following: Designed to accurately follow a wide range of user instructions.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for quicker fine-tuning iterations.
- Qwen2 Foundation: Inherits the strong language understanding and generation capabilities of the Qwen2 base model.
Good For
- Applications requiring a capable 7B-class model for general language tasks.
- Developers looking for a Qwen2 variant that has undergone efficient fine-tuning.
- Scenarios where a balance between performance and computational efficiency is desired.