swift-format!
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@@ -14,7 +14,8 @@ struct LLMError: Error {
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/// Load and return the model and tokenizer
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/// Load and return the model and tokenizer
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public func load(
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public func load(
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hub: HubApi = HubApi(), configuration: ModelConfiguration, progressHandler: @escaping (Progress) -> Void = { _ in }
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hub: HubApi = HubApi(), configuration: ModelConfiguration,
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progressHandler: @escaping (Progress) -> Void = { _ in }
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) async throws -> (LLMModel, Tokenizer) {
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) async throws -> (LLMModel, Tokenizer) {
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// note: this doesn't have a way to pass the HubApi
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// note: this doesn't have a way to pass the HubApi
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let tokenizer = try await loadTokenizer(configuration: configuration)
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let tokenizer = try await loadTokenizer(configuration: configuration)
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@@ -19,7 +19,9 @@ public struct ModelConfiguration {
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/// format
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/// format
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private let preparePrompt: ((String) -> String)?
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private let preparePrompt: ((String) -> String)?
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public init(id: String, overrideTokenizer: String? = nil, preparePrompt: ((String) -> String)? = nil) {
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public init(
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id: String, overrideTokenizer: String? = nil, preparePrompt: ((String) -> String)? = nil
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) {
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self.id = id
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self.id = id
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self.overrideTokenizer = overrideTokenizer
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self.overrideTokenizer = overrideTokenizer
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self.preparePrompt = preparePrompt
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self.preparePrompt = preparePrompt
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@@ -29,7 +31,7 @@ public struct ModelConfiguration {
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preparePrompt?(prompt) ?? prompt
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preparePrompt?(prompt) ?? prompt
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}
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}
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public static var registry = [String:ModelConfiguration]()
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public static var registry = [String: ModelConfiguration]()
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public static func register(configurations: [ModelConfiguration]) {
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public static func register(configurations: [ModelConfiguration]) {
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bootstrap()
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bootstrap()
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@@ -56,15 +58,13 @@ extension ModelConfiguration {
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static let codeLlama13b4bit = ModelConfiguration(
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static let codeLlama13b4bit = ModelConfiguration(
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id: "mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX",
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id: "mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX",
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overrideTokenizer: "PreTrainedTokenizer")
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overrideTokenizer: "PreTrainedTokenizer"
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{ prompt in
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) { prompt in
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// given the prompt: func sortArray(_ array: [Int]) -> String { <FILL_ME> }
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// given the prompt: func sortArray(_ array: [Int]) -> String { <FILL_ME> }
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// the python code produces this (via its custom tokenizer):
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// the python code produces this (via its custom tokenizer):
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// <PRE> func sortArray(_ array: [Int]) -> String { <SUF> } <MID>
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// <PRE> func sortArray(_ array: [Int]) -> String { <SUF> } <MID>
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"<PRE> " +
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"<PRE> " + prompt.replacingOccurrences(of: "<FILL_ME>", with: "<SUF>") + " <MID>"
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prompt.replacingOccurrences(of: "<FILL_ME>", with: "<SUF>") +
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" <MID>"
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}
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}
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static let phi4bit = ModelConfiguration(id: "mlx-community/phi-2-hf-4bit-mlx") { prompt in
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static let phi4bit = ModelConfiguration(id: "mlx-community/phi-2-hf-4bit-mlx") { prompt in
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@@ -73,9 +73,10 @@ extension ModelConfiguration {
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static let gemma2bQuantized = ModelConfiguration(
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static let gemma2bQuantized = ModelConfiguration(
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id: "mlx-community/quantized-gemma-2b-it",
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id: "mlx-community/quantized-gemma-2b-it",
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overrideTokenizer: "PreTrainedTokenizer") { prompt in
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overrideTokenizer: "PreTrainedTokenizer"
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"<start_of_turn>user \(prompt)<end_of_turn><start_of_turn>model"
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) { prompt in
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}
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"<start_of_turn>user \(prompt)<end_of_turn><start_of_turn>model"
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}
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private enum BootstrapState {
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private enum BootstrapState {
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case idle
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case idle
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@@ -57,7 +57,8 @@ struct SyncGenerator: AsyncParsableCommand {
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var tokens = [Int]()
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var tokens = [Int]()
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var printed = 0
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var printed = 0
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for token in TokenIterator(prompt: MLXArray(promptTokens), model: model, temp: temperature) {
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for token in TokenIterator(prompt: MLXArray(promptTokens), model: model, temp: temperature)
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{
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if tokens.isEmpty {
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if tokens.isEmpty {
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eval(token)
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eval(token)
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let now = Date.timeIntervalSinceReferenceDate
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let now = Date.timeIntervalSinceReferenceDate
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@@ -145,7 +146,8 @@ struct AsyncGenerator: AsyncParsableCommand {
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var tokens = [Int]()
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var tokens = [Int]()
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var printed = 0
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var printed = 0
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let (task, channel) = generate(prompt: MLXArray(promptTokens), model: model, temp: temperature)
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let (task, channel) = generate(
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prompt: MLXArray(promptTokens), model: model, temp: temperature)
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for await token in channel {
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for await token in channel {
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if tokens.isEmpty {
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if tokens.isEmpty {
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