Scenario Based Conversational Role Play

via “system prompt resilience and role-play capability with improved instruction following”

Alibaba's 72B open model trained on 18T tokens.

Unique: Post-training on diverse instruction formats improves system prompt resilience and role-play consistency compared to Qwen2, enabling reliable behavior specification without adversarial prompt injection. 128K context window allows full conversation histories and complex system prompt definitions within single inference call.

vs others: More resilient to prompt injection than Llama 2 70B and comparable to Llama 3 while offering Apache 2.0 licensing. Lacks specialized safety training of Claude or GPT-4 but unified instruction-following approach avoids separate safety model requirements.