GitLab

add error for falcon and starcoder vocab compatibility
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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

omitting `--n-gpu-layers` means use metal on macos which isn't correct
since ollama uses `num_gpu=0` to explicitly disable gpu for file types
that are not implemented in metal

- remove new lines from llama.cpp error messages relayed to client
- check api option types and return error on wrong type
- change num layers from 95% VRAM to 92% VRAM

* give direction to user when runner fails
* also relay errors from timeout
* increase timeout to 3 minutes

* prevent waiting on exited command
* close llama runner once

* check free memory not total
* wait for subprocess to exit

- this makes it easier to see that the subprocess is associated with ollama

* include seed in params for llama.cpp server and remove empty filter for temp

* relay default predict options to llama.cpp

- reorganize options to match predict request for readability

* omit empty stop

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Co-authored-by: hallh <hallh@users.noreply.github.com>

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Co-authored-by: Michael Yang <mxyng@pm.me>

* remove tmp directories created by previous servers

* clean up on server stop

* Update routes.go

* Update server/routes.go
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>

* create top-level temp ollama dir

* check file exists before creating

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Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
Co-authored-by: Michael Yang <mxyng@pm.me>

* subprocess improvements

- increase start-up timeout
- when runner fails to start fail rather than timing out
- try runners in order rather than choosing 1 runner
- embed metal runner in metal dir rather than gpu
- refactor logging and error messages

* Update llama.go

* Update llama.go

* simplify by using glob

* enable packaging multiple cuda versions
* use nvcc cuda version if available

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Co-authored-by: Michael Yang <mxyng@pm.me>

get model and file type from bin file

* linux gpu support
* handle multiple gpus
* add cuda docker image (#488)
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Co-authored-by: Michael Yang <mxyng@pm.me>