It's simple enough to test the tokenizer to determine the base model in use (DeepSeek V3, or a Llama 3/Qwen 2.5 distill).

Using the text "സ്മാർട്ട്", Qwen 2.5 tokenizes as 10 tokens, Llama 3 as 13, and DeepSeek V3 as 8.

Using DeepSeek's chat frontend, both DeepSeek V3 and R1 returns the following response (SSE events edited for brevity):

  {"content":"സ","type":"text"},"chunk_token_usage":1
  {"content":"്മ","type":"text"},"chunk_token_usage":2
  {"content":"ാ","type":"text"},"chunk_token_usage":1
  {"content":"ർ","type":"text"},"chunk_token_usage":1
  {"content":"ട","type":"text"},"chunk_token_usage":1
  {"content":"്ട","type":"text"},"chunk_token_usage":1
  {"content":"്","type":"text"},"chunk_token_usage":1

which totals to 8, as expected for DeepSeek V3's tokenizer.