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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>

this info has not been returned from these endpoints in some time

* restore model load duration on generate response

- set model load duration on generate and chat done response
- calculate createAt time when response created

* remove checkpoints predict opts

* Update routes.go

* add multimodal docs

* add chat api docs

* consistency between `/api/generate` and `/api/chat`

* simplify docs

remove per-model types

- remove parallel

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Co-authored-by: Matt Apperson <mattapperson@Matts-MacBook-Pro.local>

mostly replaced by decoding tensors except ggml models which only
support llama