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If you attempt to run the current CUDA build on compute capability 5.2
cards, you'll hit the following failure:
cuBLAS error 15 at ggml-cuda.cu:7956: the requested functionality is not supported

fix: set template without triple quotes

fix(cmd): history in alt prompt

* select layers based on estimated model memory usage

* always account for scratch vram

* dont load +1 layers

* better estmation for graph alloc

* Update gpu/gpu_darwin.go
Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* Update llm/llm.go
Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* Update llm/llm.go

* add overhead for cuda memory

* Update llm/llm.go
Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

* fix build error on linux

* address comments

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

Detect very old CUDA GPUs and fall back to CPU

Accept windows paths for image processing

If we try to load the CUDA library on an old GPU, it panics and crashes
the server.  This checks the compute capability before we load the
library so we can gracefully fall back to CPU mode.

This enhances our regex to support windows style paths.  The regex will
match invalid path specifications, but we'll still validate file
existence and filter out mismatches

Add windows native build instructions

Merge pull request #1797 from sublimator/nd-allow-extension-origins-still-needs-explicit-listing-2024-01-05

fix: allow extension origins (still needs explicit listing), fixes #1686

- additional information is now available in show response, use this to pull gguf before running
- make gguf updates cancellable

* gpu: read memory info from all cuda devices

* add `LOOKUP_SIZE` constant

* better constant name

* address comments

update Dockerfile.build