Eyad Issa
6334ea69a7
* No notable changes for Linux
- Update to version 0.5.10:
* Fixed issue on multi-GPU Windows and Linux machines where
memory estimations would be incorrect
- Update to version 0.5.9:
* New model: DeepScaleR
* New model: OpenThinker
- Update to version 0.5.8:
* Ollama will now use AVX-512 instructions where available for
additional CPU acceleration
* Fixed indexing error that would occur when downloading a model
with ollama run or ollama pull
* Fixes cases where download progress would reverse
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=75
59 lines
1.4 KiB
Plaintext
59 lines
1.4 KiB
Plaintext
## Path: Network/Ollama
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## Description: Ollama server access
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## Type: string
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## Default: "http://127.0.0.1:11434"
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## ServiceRestart: ollama
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#
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# set it to 0.0.0.0 for global network access
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#
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OLLAMA_HOST="http://127.0.0.1:11434"
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## Type: string
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## Description: Ollama default quantization type for the K/V cache
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## Default: "f16"
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## ServiceRestart: ollama
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OLLAMA_KV_CACHE_TYPE=f16
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## Type: string
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## Description: Ollama default quantization type for the K/V cache
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## Default: "f16"
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## ServiceRestart: ollama
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OLLAMA_KEEP_ALIVE=
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## Type: string
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## Description: Parallel processes
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_NUM_PARALLEL=
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## Type: string
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## Description: Maxmimal memory to be used
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_MAX_VRAM=
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## Type: string
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## Description: Ollama runner directory
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_RUNNERS_DIR=
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## Type: string
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## Description: Ollama temporary directory
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_TMPDIR=
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## Type: string
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## Description: Models to be loaded by default
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_MODELS=
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## Type: string
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## Description: List of allowed remote hosts
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## Default: ""
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## ServiceRestart: ollama
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OLLAMA_ORIGINS=
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