hi Krishnava,  thanks for bringing that up.
Unfortunately TFLite does not yet implement TF-DF models. We definitely would like to implement that, if we see more need. Pls, if you don’t mind, create an “issue” in our github repository 10 for that, so we can track others that may be interested in a TFLite version.
In the short term, for a very fast/cheap inference for a purely decision forest models, consider doing inference using the TF-DF C++ library called Yggdrasil 5. There is an example 4 that you can use to get started – it will read the TF-DF saved model that you trained in TensorFlow directly.
The Decision Forest models served in this fashion are often incredibly low-latency / low-cost. You can measure the serving speed without writing code using the benchmark inference tool 5.
G’luck!