go-mlx/options.go

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package mlx
// GenerateConfig holds generation parameters.
type GenerateConfig struct {
MaxTokens int
Temperature float32
TopK int
TopP float32
StopTokens []int32
}
// DefaultGenerateConfig returns sensible defaults.
func DefaultGenerateConfig() GenerateConfig {
return GenerateConfig{
MaxTokens: 256,
Temperature: 0.0,
}
}
// GenerateOption configures text generation.
type GenerateOption func(*GenerateConfig)
// WithMaxTokens sets the maximum number of tokens to generate.
func WithMaxTokens(n int) GenerateOption {
return func(c *GenerateConfig) { c.MaxTokens = n }
}
// WithTemperature sets the sampling temperature. 0 = greedy.
func WithTemperature(t float32) GenerateOption {
return func(c *GenerateConfig) { c.Temperature = t }
}
// WithTopK sets top-k sampling. 0 = disabled.
func WithTopK(k int) GenerateOption {
return func(c *GenerateConfig) { c.TopK = k }
}
// WithTopP sets nucleus sampling threshold. 0 = disabled.
func WithTopP(p float32) GenerateOption {
return func(c *GenerateConfig) { c.TopP = p }
}
// WithStopTokens sets token IDs that stop generation.
func WithStopTokens(ids ...int32) GenerateOption {
return func(c *GenerateConfig) { c.StopTokens = ids }
}
// LoadConfig holds model loading parameters.
type LoadConfig struct {
Backend string // "metal" (default), "mlx_lm"
}
// LoadOption configures model loading.
type LoadOption func(*LoadConfig)
// WithBackend selects a specific inference backend by name.
func WithBackend(name string) LoadOption {
return func(c *LoadConfig) { c.Backend = name }
}
// ApplyGenerateOpts builds a GenerateConfig from options.
func ApplyGenerateOpts(opts []GenerateOption) GenerateConfig {
cfg := DefaultGenerateConfig()
for _, o := range opts {
o(&cfg)
}
return cfg
}
// ApplyLoadOpts builds a LoadConfig from options.
func ApplyLoadOpts(opts []LoadOption) LoadConfig {
var cfg LoadConfig
for _, o := range opts {
o(&cfg)
}
return cfg
}