Merge branch 'ollama:main' into arm64static
This commit is contained in:
commit
ea4c284a48
8 changed files with 125 additions and 188 deletions
60
.github/ISSUE_TEMPLATE/10_bug_report.yml
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60
.github/ISSUE_TEMPLATE/10_bug_report.yml
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@ -0,0 +1,60 @@
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name: Bug report
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labels: [bug]
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description: Something isn't working right.
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body:
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- type: textarea
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id: description
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attributes:
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label: What is the issue?
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description: What happened? What did you expect to happen?
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validations:
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required: true
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- type: dropdown
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id: os
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attributes:
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label: OS
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description: Which operating system are you using?
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multiple: true
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options:
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- Linux
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- macOS
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- Windows
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- Docker
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- WSL2
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validations:
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required: false
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- type: dropdown
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id: gpu
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attributes:
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label: GPU
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description: Which GPU are you using?
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multiple: true
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options:
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- Nvidia
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- AMD
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- Intel
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- Apple
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- Other
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validations:
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required: false
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- type: dropdown
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id: cpu
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attributes:
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label: CPU
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description: Which CPU are you using?
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multiple: true
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options:
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- Intel
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- AMD
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- Apple
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- Other
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validations:
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required: false
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- type: input
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id: version
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attributes:
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label: Ollama version
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description: What version of Ollama are you using? (`ollama --version`)
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placeholder: e.g., 0.1.32
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validations:
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required: false
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18
.github/ISSUE_TEMPLATE/10_model_request.yml
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18
.github/ISSUE_TEMPLATE/10_model_request.yml
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@ -1,18 +0,0 @@
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name: Model request
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description: Request a new model for the library
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labels: [mr]
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body:
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- type: markdown
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attributes:
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value: |
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Please check if your Model request is [already available](https://ollama.com/search) or that you cannot [import it](https://github.com/ollama/ollama/blob/main/docs/import.md#import-a-model) yourself.
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Tell us about which Model you'd like to see in the library!
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- type: textarea
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id: problem
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attributes:
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label: What model would you like?
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description: Please provide a link to the model.
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- type: markdown
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attributes:
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value: |
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Thanks for filing a model request!
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36
.github/ISSUE_TEMPLATE/20_feature_request.yml
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36
.github/ISSUE_TEMPLATE/20_feature_request.yml
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@ -1,41 +1,11 @@
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name: Feature request
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description: Propose a new feature
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labels: [needs-triage, fr]
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labels: ['feature request']
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description: Request a new feature.
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body:
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- type: markdown
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attributes:
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value: |
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Please check if your feature request is [already filed](https://github.com/ollama/ollama/issues).
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Tell us about your idea!
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- type: textarea
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id: problem
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attributes:
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label: What are you trying to do?
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label: What new feature would you like to see?
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description: Tell us about the problem you're trying to solve.
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validations:
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required: false
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- type: textarea
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id: solution
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attributes:
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label: How should we solve this?
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description: If you have an idea of how you'd like to see this feature work, let us know.
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validations:
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required: false
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- type: textarea
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id: alternative
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attributes:
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label: What is the impact of not solving this?
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description: (How) Are you currently working around the issue?
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validations:
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required: false
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- type: textarea
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id: context
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attributes:
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label: Anything else?
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description: Any additional context to share, e.g., links
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validations:
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required: false
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- type: markdown
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attributes:
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value: |
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Thanks for filing a feature request!
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9
.github/ISSUE_TEMPLATE/30_model_request.yml
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9
.github/ISSUE_TEMPLATE/30_model_request.yml
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@ -0,0 +1,9 @@
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name: Model request
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labels: ['model request']
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description: Request a new model.
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body:
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- type: textarea
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id: problem
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attributes:
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label: What model would you like?
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description: Please provide a link to the model.
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125
.github/ISSUE_TEMPLATE/90_bug_report.yml
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125
.github/ISSUE_TEMPLATE/90_bug_report.yml
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@ -1,125 +0,0 @@
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name: Bug report
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description: File a bug report. If you need help, please join our Discord server.
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labels: [needs-triage, bug]
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body:
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- type: markdown
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attributes:
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value: |
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Please check if your bug is [already filed](https://github.com/ollama/ollama/issues) before filing a new one.
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- type: textarea
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id: what-happened
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attributes:
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label: What is the issue?
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description: What happened? What did you expect to happen?
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validations:
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required: true
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- type: textarea
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id: what-was-expected
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attributes:
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label: What did you expect to see?
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description: What did you expect to see/happen instead?
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validations:
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required: false
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- type: textarea
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id: steps
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attributes:
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label: Steps to reproduce
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description: What are the steps you took that hit this issue?
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validations:
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required: false
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- type: textarea
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id: changes
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attributes:
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label: Are there any recent changes that introduced the issue?
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description: If so, what are those changes?
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validations:
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required: false
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- type: dropdown
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id: os
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||||
attributes:
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label: OS
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||||
description: What OS are you using? You may select more than one.
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multiple: true
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options:
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- Linux
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- macOS
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- Windows
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- Other
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validations:
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required: false
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- type: dropdown
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id: architecture
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attributes:
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label: Architecture
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description: What architecture are you using? You may select more than one.
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multiple: true
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options:
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- arm64
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- amd64
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- x86
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- Other
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- type: dropdown
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id: platform
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attributes:
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label: Platform
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description: What platform are you using? You may select more than one.
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multiple: true
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options:
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- Docker
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- WSL
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- WSL2
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validations:
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required: false
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- type: input
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id: ollama-version
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attributes:
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label: Ollama version
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description: What Ollama version are you using? (`ollama --version`)
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placeholder: e.g., 1.14.4
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validations:
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required: false
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- type: dropdown
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id: gpu
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attributes:
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label: GPU
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description: What GPU, if any, are you using? You may select more than one.
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multiple: true
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options:
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- Nvidia
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- AMD
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- Intel
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- Apple
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- Other
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||||
validations:
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required: false
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- type: textarea
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id: gpu-info
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attributes:
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label: GPU info
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description: What GPU info do you have? (`nvidia-smi`, `rocminfo`, `system_profiler SPDisplaysDataType`, etc.)
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validations:
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required: false
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- type: dropdown
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id: cpu
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||||
attributes:
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label: CPU
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description: What CPU are you using? You may select more than one.
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multiple: true
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options:
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- Intel
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- AMD
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- Apple
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- Other
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||||
validations:
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required: false
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- type: textarea
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id: other-software
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attributes:
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label: Other software
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description: What other software are you using that might be related to this issue?
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validations:
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required: false
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- type: markdown
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attributes:
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value: |
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Thanks for filing a bug report!
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@ -60,7 +60,6 @@ Here are some example models that can be downloaded:
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| Llama 2 13B | 13B | 7.3GB | `ollama run llama2:13b` |
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| Llama 2 70B | 70B | 39GB | `ollama run llama2:70b` |
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| Orca Mini | 3B | 1.9GB | `ollama run orca-mini` |
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| Vicuna | 7B | 3.8GB | `ollama run vicuna` |
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| LLaVA | 7B | 4.5GB | `ollama run llava` |
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| Gemma | 2B | 1.4GB | `ollama run gemma:2b` |
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| Gemma | 7B | 4.8GB | `ollama run gemma:7b` |
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@ -378,3 +377,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
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- [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
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- [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend)
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- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support)
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### Supported backends
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) project founded by Georgi Gerganov.
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@ -164,7 +164,8 @@ func (ts Tensors) Layers() map[string]Layer {
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for _, t := range ts {
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parts := strings.Split(t.Name, ".")
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if parts[0] == "blk" {
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parts = parts[1:]
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// join first and second part, e.g. blk.%d
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parts = append([]string{fmt.Sprintf("%s.%s", parts[0], parts[1])}, parts[2:]...)
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}
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if _, ok := layers[parts[0]]; !ok {
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@ -97,7 +97,7 @@ func NewLlamaServer(model string, adapters, projectors []string, opts api.Option
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var layerCount int
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layers := ggml.Tensors().Layers()
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for i := 0; i < int(ggml.KV().BlockCount()); i++ {
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memoryLayer := layers[fmt.Sprintf("%d", i)].size()
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memoryLayer := layers[fmt.Sprintf("blk.%d", i)].size()
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// KV is proportional to the number of layers
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memoryLayer += kv / ggml.KV().BlockCount()
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@ -109,7 +109,14 @@ func NewLlamaServer(model string, adapters, projectors []string, opts api.Option
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}
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}
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memoryLayerOutput := layers["output"].size()
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var memoryLayerOutput uint64
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for k, v := range layers {
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if !strings.HasPrefix(k, "blk.") {
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slog.Info("aaa", "name", k, "size", format.HumanBytes2(v.size()))
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memoryLayerOutput += v.size()
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}
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}
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memoryRequiredTotal += memoryLayerOutput
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if info.Library == "metal" && memoryRequiredTotal > info.TotalMemory {
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@ -124,16 +131,47 @@ func NewLlamaServer(model string, adapters, projectors []string, opts api.Option
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opts.NumGPU = layerCount
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}
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memoryWeights := memoryRequiredTotal - memoryMinimum - graphFullOffload - kv
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slog.Info(
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"offload to gpu",
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"reallayers", opts.NumGPU,
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"layers", layerCount,
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"required", format.HumanBytes2(memoryRequiredTotal),
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"used", format.HumanBytes2(memoryRequiredPartial),
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slog.Group(
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"layers",
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// actual number of layers offloaded
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"real", opts.NumGPU,
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// estimated number of layers that can be offloaded
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"estimate", layerCount,
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),
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slog.Group(
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"memory",
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// memory available for offloading
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"available", format.HumanBytes2(memoryAvailable),
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slog.Group(
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"required",
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// memory required for full offloading
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"full", format.HumanBytes2(memoryRequiredTotal),
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// memory required to offload layers.estimate layers
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"partial", format.HumanBytes2(memoryRequiredPartial),
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// memory of KV cache
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"kv", format.HumanBytes2(kv),
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"fulloffload", format.HumanBytes2(graphFullOffload),
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"partialoffload", format.HumanBytes2(graphPartialOffload),
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),
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slog.Group(
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"weights",
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// memory of the weights
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"total", format.HumanBytes2(memoryWeights),
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// memory of repeating layers
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"repeating", format.HumanBytes2(memoryWeights-memoryLayerOutput),
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// memory of non-repeating layers
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"nonrepeating", format.HumanBytes2(memoryLayerOutput),
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),
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slog.Group(
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"graph",
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// memory of graph when fully offloaded
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"full", format.HumanBytes2(graphFullOffload),
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// memory of graph when not fully offloaded
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"partial", format.HumanBytes2(graphPartialOffload),
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),
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),
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)
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if len(adapters) > 1 {
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|
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Loading…
Reference in a new issue