Posts by jfkimmes@social.tinycyber.space
 (DIR) Post #B48sH5ZsQNowcDyohU by jfkimmes@social.tinycyber.space
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       @ariadne what model did you finetune on?  For a 1B model you need something really specialized on tool calling.
       
 (DIR) Post #B48ueinUyMGkp1kRBg by jfkimmes@social.tinycyber.space
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       @ariadne Oh, is that a OpenClaw specific feature where you can specify that reasoning traces are generated by a separate model than the actual response? I'm not really familiar with OpenClaw's internals.
       
 (DIR) Post #B48uh5l6ZchQcAl6Mi by jfkimmes@social.tinycyber.space
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       @ariadne In any case: as long as the final response is generated by your trained model it will never make a valid tool call since there are probably about zero training examples of the necessary JSON structure required by the tool handling in your furry smut (this is an estimate that could be quite the way off knowing the furry community but still)
       
 (DIR) Post #B48vYXJ0sxLjOj6Sg4 by jfkimmes@social.tinycyber.space
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       @ariadne you could build a tool that gets called to generate answers / responses by your trained model. Then qwen-35 could handle the reasoning and make its tool calls and finally generate responses / text by copying from a tool call to your wrapper.