Adds the `IQ2_TN`quantized version of the ~4B TriLM model. This quantization has been done on Metal (i.e., the GPU on the M3 Pro silicon) via [`ik_llama.cpp`](https://github.com/ikawrakow/ik_llama.cpp).
[This PR](https://github.com/ikawrakow/ik_llama.cpp/pull/13) adds the `IQ2_TN` format with support for CUDA, AVX, and even Metal (thanks [ikawrakow](https://github.com/ikawrakow) 🙏). Thus, I decided to test quantization and inference for the 3.9B TriLM variant. It seems to work quite nice on the GPU.
add the quantized version of the TriLM model. quantization was done using llama.cpp (open [PR](https://github.com/ggerganov/llama.cpp/pull/8151)) in `TQ1_0` format
