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This reverts commit 7a0899d6.

- update chat docs
- add messages chat endpoint
- remove deprecated context and template generate parameters from docs
- context and template are still supported for the time being and will continue to work as expected
- add partial response to chat history

* add remote create to python example client

* add `"format": "json"` as an API parameter
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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

- add the optional `raw` generate request parameter to bypass prompt formatting and response context
-add raw request to docs

* allow for a configurable ollama models directory

- set OLLAMA_MODELS in the environment that ollama is running in to change where model files are stored
- update docs
Co-Authored-By: Jeffrey Morgan <jmorganca@gmail.com>
Co-Authored-By: Jay Nakrani <dhananjaynakrani@gmail.com>
Co-Authored-By: Akhil Acharya <akhilcacharya@gmail.com>
Co-Authored-By: Sasha Devol <sasha.devol@protonmail.com>

- only reload the running llm if the model has changed, or the options for loading the running model have changed
- rename loaded llm to runner to differentiate from loaded model image
- remove logic which keeps the first system prompt in the generation context

- 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

* update streaming request accept header
* add optional stream param to request bodies

* 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>

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

* remove c code
* pack llama.cpp
* use request context for llama_cpp
* let llama_cpp decide the number of threads to use
* stop llama runner when app stops
* remove sample count and duration metrics
* use go generate to get libraries
* tmp dir for running llm