Add support for model-specific RoPE configuration parameters by:
1. Creating a new `RopeConfig` struct to encapsulate all RoPE parameters
2. Adding `RopeType` enum to specify different RoPE variants (Standard/NeoX)
3. Extracting original context length from model config
4. Refactoring `RoPE()` interface to use the new config struct
5. Updating llama and mllama models to use new RoPE configuration
This change allows models to specify their RoPE implementation type and
original context length, which is important for proper position embedding
calculation and model compatibility.
This provides integration with the new Ollama engine
(5824541 next ollama runner (#7913)) and the rest of the Ollama
infrastructure such as the runner and Ollama server.
In addition, it also builds out the KV cache infrastructure to
support requirements of how Ollama runs models such as:
- Parallel processing
- Memory management for defragmentation and shifting
- Multi-modal modals
Both old and new engines continue to be supported. By default, only
the old engine is used. To enable the new engine:
Start the server with the OLLAMA_NEW_ENGINE environment variable set:
OLLAMA_NEW_ENGINE=1 ./ollama serve
Start a model that is supported by the Ollama engine. This one is Llama 3.1 8b Q4_K_M:
./ollama run jessegross/llama3.1