Actual use cases for this model
I'm interested to know: has anyone found real-world use-cases for this model?
I understand this is not a coding model but I still give models like that (very basic) coding tasks to ensure it can at least general internally consistent output, I took a simple task of converting 20 lines of pyspark to duckdb and gave it to both LFM2 and gpt-oss:20b. I gave both outputs to Grok to grade. LFM2 got 4.5/10 and gpt-oss got 8.5/10
I'm not impressed, I don't see any use-cases for this model given the ability of it's competition but maybe I'm being too narrow - has anyone found any good use cases for this model?
I am using it to assist in correcting scripting errors qwen3.5 made right now.
When people say 'coding model' i don't know what they mean anymore. What's a good coding chat partner isn't what's a good agent-ant.
The use case of this model is summarization, text analysis, research. It works pretty well. Is not created for coding, coding models are trained in massive code databases and focused in particular skills.
Closing this thread, no solid use-cases provided