Add an Example and modifications to the interactive executor to enable Llava Models.

Just a preview / demo

* Updated binaries to llama.cpp `3ab8b3a92ede46df88bc5a2dfca3777de4a2b2b6` (build run: https://github.com/SciSharp/LLamaSharp/actions/runs/8118890586)

* Added abort callback

* Added properties to get/set thread count on `LLamaContext`

* Fixed LLamaLogLevel numbering

- Added `logits_i` argument to `Context.ApplyPenalty`
 - Added a new exception type for `llama_decode` return code

- Added a `Sample` method to `LLamaContext` which uses a custom pipeline
 - Modified all executors to use the custom pipeline if it exists

- Cleaned up comments in implementations of `IInferenceParams`
 - Removed default values for all parameters in `LLamaContext.Sample` - they're never used and probably _shouldn't_ ever be used

- `AntipromptProcessor` accepts chunks of text and returns a value indicating if any antiprompt has been detected.
 - `StreamingTokenDecoder` decodes tokens into text, maintaining some internal state to handle single characters which are encoded as multiple tokens.

Added tests for these classes and updated StatelessExecutor to use them.

Removed most DeTokenize methods, marked the rest as obsolete (should always use a `StreamingTokenDecoder`).

- Built a new (hacky) `Detokenize` method which handles this

- Passing `ILogger` into executors

# Conflicts:
#	LLama.Web/Common/ModelOptions.cs
#	LLama.Web/Services/ConnectionSessionService.cs
#	LLama/LLamaStatelessExecutor.cs
#	LLama/LLamaWeights.cs

Major llama.cpp API Change

- Fixed stateless executor out-of-context handling
 - Fixed token tests

- params contains a list of loras, instead of just one

- Added a "spinner" to the `StatelessModeExecute` demo, which spins while waiting for the next token (demonstrating that it's not blocked).

- Minimal amount of characters converted
   - Allocation free
 - Added `TokensToSpan` to `SafeLlamaModelHandle` which converts as many tokens as possible into a character span
   - Allocation free

- Passing encoding in the `IModelParams`, which reduces how often encoding needs to be passed around

- Removed some unnecessary `ToArray` calls
 - Initial pass on LLamaStatelessExecutor, the context overflow management is broken but I think I found where it's ported from

- Integrated grammar into sampling
 - Added a test for the grammar sampling

The biggest single change is renaming `LLamaModel` to `LLamaContext`

Fix serialization error due to NaN

Instruct & Stateless web example implemented