Don't clamp ctx size in PredictServerFit
(#4317)
* dont clamp ctx size in `PredictServerFit` * minimum 4 context * remove context warning
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7e2bceceee
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3 changed files with 6 additions and 19 deletions
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@ -12,17 +12,8 @@ import (
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// This algorithm looks for a complete fit to determine if we need to unload other models
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func PredictServerFit(allGpus gpu.GpuInfoList, ggml *GGML, adapters, projectors []string, opts api.Options) (bool, uint64) {
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var estimatedVRAM uint64
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if opts.NumCtx > int(ggml.KV().ContextLength()) {
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slog.Warn("requested context length is greater than model max context length", "requested", opts.NumCtx, "model", ggml.KV().ContextLength())
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opts.NumCtx = int(ggml.KV().ContextLength())
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}
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if opts.NumCtx < 4 {
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opts.NumCtx = 4
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}
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// Split up the GPUs by type and try them
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var estimatedVRAM uint64
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for _, gpus := range allGpus.ByLibrary() {
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var layerCount int
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layerCount, estimatedVRAM, _ = EstimateGPULayers(gpus, ggml, projectors, opts)
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@ -77,15 +77,7 @@ func LoadModel(model string) (*GGML, error) {
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// The gpu list must be a single family.
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func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, projectors []string, opts api.Options) (LlamaServer, error) {
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var err error
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if opts.NumCtx > int(ggml.KV().ContextLength()) {
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slog.Warn("requested context length is greater than the model's training context window size", "requested", opts.NumCtx, "training size", ggml.KV().ContextLength())
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}
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if opts.NumCtx < 4 {
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opts.NumCtx = 4
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}
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cpuRunner := ""
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var cpuRunner string
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var estimatedVRAM uint64
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var estimatedTotal uint64
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var systemMemory uint64
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@ -61,6 +61,10 @@ func InitScheduler(ctx context.Context) *Scheduler {
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// context must be canceled to decrement ref count and release the runner
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func (s *Scheduler) GetRunner(c context.Context, model *Model, opts api.Options, sessionDuration time.Duration) (chan *runnerRef, chan error) {
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// allocate a large enough kv cache for all parallel requests
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if opts.NumCtx < 4 {
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opts.NumCtx = 4
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}
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opts.NumCtx = opts.NumCtx * envconfig.NumParallel
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req := &LlmRequest{
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