SvalTek/L3.1-TheGrimoire-8B-Base-Test0
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 5, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
SvalTek/L3.1-TheGrimoire-8B-Base-Test0 is a 7.6 billion parameter Qwen2-based causal language model developed by SvalTek, fine-tuned from SvalTek/MQ-Coldbrew-Base. This model was trained with a 32768 token context length, utilizing Unsloth and Huggingface's TRL library for accelerated training. Its primary differentiator is its optimized training process, achieving 2x faster finetuning, making it suitable for applications requiring efficient model development.
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Model Overview
SvalTek/L3.1-TheGrimoire-8B-Base-Test0 is a 7.6 billion parameter language model developed by SvalTek. It is based on the Qwen2 architecture and was fine-tuned from the SvalTek/MQ-Coldbrew-Base model. This model supports a context length of 32768 tokens.
Key Characteristics
- Efficient Training: This model was finetuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to conventional methods.
- Base Model: It is built upon the SvalTek/MQ-Coldbrew-Base, indicating a foundation designed for specific performance or domain characteristics.
- License: The model is released under the Apache-2.0 license, allowing for broad usage and distribution.
Good For
- Developers seeking a Qwen2-based model with a focus on efficient and accelerated finetuning.
- Applications where the underlying base model, SvalTek/MQ-Coldbrew-Base, provides a suitable starting point.
- Projects requiring a model with a substantial context window of 32768 tokens.