simpler check for model loading compatibility errors
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parent
cc1d03f4ec
commit
7ed5a39bc7
3 changed files with 11 additions and 12 deletions
12
llm/llama.go
12
llm/llama.go
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@ -18,7 +18,6 @@ import (
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"path"
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"path/filepath"
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"runtime"
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"slices"
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"strconv"
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"strings"
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"sync"
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@ -286,7 +285,7 @@ func (w *StatusWriter) Write(b []byte) (int, error) {
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return os.Stderr.Write(b)
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}
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func newLlama(model string, adapters []string, runners []ModelRunner, ggml *GGML, opts api.Options) (*llama, error) {
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func newLlama(model string, adapters []string, runners []ModelRunner, numLayers int64, opts api.Options) (*llama, error) {
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fileInfo, err := os.Stat(model)
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if err != nil {
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return nil, err
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@ -296,7 +295,7 @@ func newLlama(model string, adapters []string, runners []ModelRunner, ggml *GGML
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return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
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}
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numGPU := NumGPU(ggml.NumLayers(), fileInfo.Size(), opts)
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numGPU := NumGPU(numLayers, fileInfo.Size(), opts)
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params := []string{
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"--model", model,
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"--ctx-size", fmt.Sprintf("%d", opts.NumCtx),
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@ -407,13 +406,6 @@ func newLlama(model string, adapters []string, runners []ModelRunner, ggml *GGML
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if runnerErr != nil {
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// this is the error returned from the llama runner process that failed most recently
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// falcon and starcoder model families are not compatible with older versions of llama.cpp
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families := []string{"falcon", "starcoder"}
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if strings.Contains(runnerErr.Error(), "failed to load model") && slices.Contains(families, ggml.ModelFamily()) {
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return nil, fmt.Errorf("%v: %s", runnerErr, "this model may be incompatible with your version of Ollama. Please run `ollama pull` to get the latest version of this model.")
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}
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return nil, runnerErr
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}
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@ -86,9 +86,9 @@ func New(workDir, model string, adapters []string, opts api.Options) (LLM, error
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switch ggml.Name() {
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case "gguf":
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opts.NumGQA = 0 // TODO: remove this when llama.cpp runners differ enough to need separate newLlama functions
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return newLlama(model, adapters, chooseRunners(workDir, "gguf"), ggml, opts)
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return newLlama(model, adapters, chooseRunners(workDir, "gguf"), ggml.NumLayers(), opts)
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case "ggml", "ggmf", "ggjt", "ggla":
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return newLlama(model, adapters, chooseRunners(workDir, "ggml"), ggml, opts)
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return newLlama(model, adapters, chooseRunners(workDir, "ggml"), ggml.NumLayers(), opts)
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default:
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return nil, fmt.Errorf("unknown ggml type: %s", ggml.ModelFamily())
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}
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@ -97,6 +97,13 @@ func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]
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llmRunner, err := llm.New(workDir, model.ModelPath, model.AdapterPaths, opts)
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if err != nil {
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// some older models are not compatible with newer versions of llama.cpp
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// show a generalized compatibility error until there is a better way to
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// check for model compatibility
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if strings.Contains(err.Error(), "failed to load model") {
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err = fmt.Errorf("%v: this model may be incompatible with your version of Ollama. If you previously pulled this model, try updating it by running `ollama pull %s`", err, model.ShortName)
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}
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return err
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}
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