WarlordHermes/Chekhov-24B-v1.0
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:Dec 20, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
WarlordHermes/Chekhov-24B-v1.0 is a 24 billion parameter Mistral-based causal language model developed by WarlordHermes, fine-tuned from TheDrummer/Cydonia-24B-v4.3. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. With a 32768 token context length, it offers enhanced performance for tasks requiring extensive context processing.
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WarlordHermes/Chekhov-24B-v1.0 Overview
WarlordHermes/Chekhov-24B-v1.0 is a 24 billion parameter language model, building upon the Mistral architecture. It was fine-tuned by WarlordHermes, originating from TheDrummer/Cydonia-24B-v4.3, and is licensed under Apache-2.0.
Key Characteristics
- Architecture: Based on the Mistral model family.
- Parameter Count: Features 24 billion parameters, offering a balance of capability and efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs and generating coherent, extended outputs.
- Training Efficiency: The fine-tuning process leveraged Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed compared to conventional methods.
Good For
- Applications requiring a large context window for complex tasks.
- Developers looking for a Mistral-based model with optimized training origins.
- Use cases benefiting from a 24B parameter model's capabilities in understanding and generating nuanced text.