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Add cgo implementation for llama.cpp

The default thread count logic was broken and resulted in 2x the number
of threads as it should on a hyperthreading CPU
resulting in thrashing and poor performance.

The windows native setup still needs some more work, but this gets it building
again and if you set the PATH properly, you can run the resulting exe on a cuda system.

This switches the default llama.cpp to be CPU based, and builds the GPU variants
as dynamically loaded libraries which we can select at runtime.

This also bumps the ROCm library to version 6 given 5.7 builds don't work
on the latest ROCm library that just shipped.

fix(test): use real version string for comparison

* Add Langchain Dart

* Update README.md

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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

This allows the CPU only builds to work on systems with Radeon cards

If someone checks out the ollama repo and doesn't install the CUDA
library, this will ensure they can build a CPU only version

A simple test case that verifies llava:7b can read text in an image

This changes the container-based linux build to use an older Ubuntu
distro to improve our compatibility matrix for older user machines

The build tags rocm or cuda must be specified to both go generate and go build.
ROCm builds should have both ROCM_PATH set (and the ROCM SDK present) as well
as CLBlast installed (for GGML) and CLBlast_DIR set in the environment to the
CLBlast cmake directory (likely /usr/lib/cmake/CLBlast). Build tags are also
used to switch VRAM detection between cuda and rocm implementations, using
added "accelerator_foo.go" files which contain architecture specific functions
and variables. accelerator_none is used when no tags are set, and a helper
function addRunner will ignore it if it is the chosen accelerator. Fix go
generate commands, thanks @deadmeu for testing.

Run the server.cpp directly inside the Go runtime via cgo
while retaining the LLM Go abstractions.

- remove ggml runner
- automatically pull gguf models when ggml detected
- tell users to update to gguf in the case automatic pull fails
Co-Authored-By: Jeffrey Morgan <jmorganca@gmail.com>

Added cmdh to community section in README

Lets get rid of these old modelfile examples

Signed-off-by: Matt Williams <m@technovangelist.com>

* feat(docs): README with Enchanted iOS app

* Update README.md

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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* Added Bionic GPT as a front end.

* Update README.md

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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>