Jeffrey Morgan
1b0e6c9c0e
Fix llava models not working after first request ( #4164 )
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* fix llava models not working after first request
* individual requests only for llava models
2024-05-05 20:50:31 -07:00
Daniel Hiltgen
f56aa20014
Centralize server config handling
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This moves all the env var reading into one central module
and logs the loaded config once at startup which should
help in troubleshooting user server logs
2024-05-05 16:49:50 -07:00
Mark Ward
321d57e1a0
Removing go routine calling .wait from load.
2024-05-01 18:51:10 +00:00
Mark Ward
ba26c7aa00
it will always return an error due to Kill() discarding Wait() errors
2024-05-01 18:51:10 +00:00
Mark Ward
63c763685f
log when the waiting for the process to stop to help debug when other tasks execute during this wait.
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expire timer clear the timer reference because it will not be reused.
close will clean up expireTimer if calling code has not already done this.
2024-05-01 18:51:10 +00:00
Mark Ward
948114e3e3
fix sched to wait for the runner to terminate to ensure following vram check will be more accurate
2024-05-01 18:51:10 +00:00
Jeffrey Morgan
7aa08a77ca
llm: dont cap context window limit to training context window ( #3988 )
2024-04-29 10:07:30 -04:00
Jeffrey Morgan
bb31def011
return code 499 when user cancels request while a model is loading ( #3955 )
2024-04-26 17:38:29 -04:00
Jeffrey Morgan
993cf8bf55
llm: limit generation to 10x context size to avoid run on generations ( #3918 )
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* llm: limit generation to 10x context size to avoid run on generations
* add comment
* simplify condition statement
2024-04-25 19:02:30 -04:00
Daniel Hiltgen
6e76348df7
Merge pull request #3834 from dhiltgen/not_found_in_path
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Report errors on server lookup instead of path lookup failure
2024-04-24 10:50:48 -07:00
Daniel Hiltgen
58888a74bc
Detect and recover if runner removed
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Tmp cleaners can nuke the file out from underneath us. This detects the missing
runner, and re-initializes the payloads.
2024-04-23 10:05:26 -07:00
Daniel Hiltgen
34b9db5afc
Request and model concurrency
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This change adds support for multiple concurrent requests, as well as
loading multiple models by spawning multiple runners. The default
settings are currently set at 1 concurrent request per model and only 1
loaded model at a time, but these can be adjusted by setting
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS.
2024-04-22 19:29:12 -07:00
Daniel Hiltgen
8711d03df7
Report errors on server lookup instead of path lookup failure
2024-04-22 19:08:47 -07:00
Daniel Hiltgen
aa72281eae
Trim spaces and quotes from llm lib override
2024-04-22 17:11:14 -07:00
Michael Yang
3cf483fe48
add stablelm graph calculation
2024-04-17 13:57:19 -07:00
Michael Yang
a8b9b930b4
account for all non-repeating layers
2024-04-17 11:21:21 -07:00
Michael Yang
26df674785
scale graph based on gpu count
2024-04-16 14:44:13 -07:00
Michael Yang
41a272de9f
darwin: no partial offloading if required memory greater than system
2024-04-16 11:22:38 -07:00
Jeffrey Morgan
a0b8a32eb4
Terminate subprocess if receiving SIGINT or SIGTERM signals while model is loading ( #3653 )
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* terminate subprocess if receiving `SIGINT` or `SIGTERM` signals while model is loading
* use `unload` in signal handler
2024-04-15 12:09:32 -04:00
Michael Yang
7e33a017c0
partial offloading
2024-04-10 11:37:20 -07:00
Michael Yang
8b2c10061c
refactor tensor query
2024-04-10 11:37:20 -07:00
Daniel Hiltgen
c5ff443b9f
Handle very slow model loads
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During testing, we're seeing some models take over 3 minutes.
2024-04-09 16:35:10 -07:00
Michael Yang
be517e491c
no rope parameters
2024-04-05 18:05:27 -07:00
Michael Yang
12e923e158
update graph size estimate
2024-04-03 13:34:12 -07:00
Daniel Hiltgen
464d817824
Merge pull request #3464 from dhiltgen/subprocess
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Fix numgpu opt miscomparison
2024-04-02 20:10:17 -07:00
Daniel Hiltgen
6589eb8a8c
Revert options as a ref in the server
2024-04-02 16:44:10 -07:00
Michael Yang
80163ebcb5
fix metal gpu
2024-04-02 16:06:45 -07:00
Daniel Hiltgen
58d95cc9bd
Switch back to subprocessing for llama.cpp
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This should resolve a number of memory leak and stability defects by allowing
us to isolate llama.cpp in a separate process and shutdown when idle, and
gracefully restart if it has problems. This also serves as a first step to be
able to run multiple copies to support multiple models concurrently.
2024-04-01 16:48:18 -07:00
