Guard heavy imports behind is_torch_available() — fixes tokenizer-only installs
`tokenization_utils_tokenizers` pulls in `load_gguf_checkpoint` from
`modeling_gguf_pytorch_utils` even without torch. The arch-converter
tables construct `WeightRenaming` / `WeightConverter` instances, which
import torch transitively. Moved those imports + table construction
inside an `if is_torch_available():` block so the module can still be
loaded for tokenizer-only use cases.