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robertmyers
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robertmyers
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Sybil 0.1 preserves the GLM-5.2 model family as its foundation while being packaged as a separate base checkpoint for experimentation.
Sybil 0.1 is suitable for:
It is not presented as a production assistant, safety-filtered chatbot, or drop-in replacement for an instruction-tuned model.
Use an inference stack that supports the GLM-5.2 architecture and the model's checkpoint format. Because this is a base model, start with conservative generation settings and evaluate outputs carefully for your use case.
Example areas to validate before deployment include instruction following, factuality, multilingual behavior, long-context behavior, refusal behavior, domain-specific accuracy, and safety characteristics.
No Sybil 0.1-specific benchmark results are claimed in this README. Users should run their own evaluations on the tasks, prompts, and inference settings relevant to their intended use.
Sybil 0.1 is derived from GLM-5.2. For details on the original GLM-5 model family, see the GLM-5 technical report and upstream project materials.