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Meet ‘Liberated Qwen’, an uncensored LLM that strictly adheres to system prompts

Abacaus AI tested the uncensored LLM on MT-Bench and found it performs slightly better than the best open-source model on the HumanEval leaderboard – Qwen1.5-72B chat.

Abacus AI, the startup building an AI-driven end-to-end machine learning( ML) and LLMOps platform, has dropped an uncensored open-source large language model (LLM) that has been tuned to follow system prompts – in all scenarios. Its ability to strictly follow system prompts marks a much-needed improvement over other existing open-source LLMs, making it more suitable for real-world use cases. Abacus cautions on the Hugging Face page of the LLM that users should implement their own alignment layer before exposing the model as a service.

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