Llama-cpp-python

- (llama.cpp) Update llama.cpp

- (server) Fix several pydantic v2 migration bugs

- (Llama.create_completion) Revert change so that `max_tokens` is not truncated to `context_size` in `create_completion`
- (server) Fixed changed settings field names from pydantic v2 migration

- (server) Streaming requests can are now interrupted pre-maturely when a concurrent request is made. Can be controlled with the `interrupt_requests` setting.
- (server) Moved to fastapi v0.100.0 and pydantic v2
- (docker) Added a new "simple" image that builds llama.cpp from source when started.
- (server) performance improvements by avoiding unnecessary memory allocations during sampling

- (llama.cpp) Update llama.cpp

- Fix performance bug in Llama model by pre-allocating memory tokens and logits.
- Fix bug in Llama model where the model was not free'd after use.

- (llama.cpp) New model API

- Performance issue during eval caused by looped np.concatenate call
- State pickling issue when saving cache to disk