chore: add repetition_penalty example (#45)
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@@ -25,6 +25,25 @@ private func topPSampling(logits: MLXArray, topP: Float, temp: Float) -> MLXArra
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return sortedIndices.squeezed(axis: 0)[sortedToken]
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return sortedIndices.squeezed(axis: 0)[sortedToken]
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}
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}
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private func applyRepetitionPenalty(
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logits: MLXArray, repetitionContext: MLXArray, penalty: Float
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) -> MLXArray {
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var logits = logits
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if repetitionContext.shape[0] > 0 {
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let indices = repetitionContext
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var selectedLogits = take(logits, indices, axis: -1).squeezed(axis: 0)
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selectedLogits = MLX.where(
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selectedLogits .< 0, selectedLogits * penalty, selectedLogits / penalty)
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logits[0..., indices] = selectedLogits
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return logits
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}
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return logits
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}
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private func sample(logits: MLXArray, temp: Float, topP: Float = 1.0) -> MLXArray {
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private func sample(logits: MLXArray, temp: Float, topP: Float = 1.0) -> MLXArray {
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if temp == 0 {
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if temp == 0 {
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return argMax(logits, axis: -1)
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return argMax(logits, axis: -1)
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@@ -43,23 +62,53 @@ public struct TokenIterator: Sequence, IteratorProtocol {
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let model: LLMModel
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let model: LLMModel
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let temp: Float
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let temp: Float
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let topP: Float
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let topP: Float
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let repetitionPenalty: Float
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let repetitionContextSize: Int
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var repetitionContext: MLXArray
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var y: MLXArray
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var y: MLXArray
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var cache: [(MLXArray, MLXArray)]
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var cache: [(MLXArray, MLXArray)]
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var first = true
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var first = true
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public init(prompt: MLXArray, model: LLMModel, temp: Float = 0.0, topP: Float = 1.0) {
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public init(
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prompt: MLXArray, model: LLMModel, temp: Float = 0.0, topP: Float = 1.0,
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repetitionPenalty: Float = 1.0, repetitionContextSize: Int = 20
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) {
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self.model = model
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self.model = model
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self.temp = temp
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self.temp = temp
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self.topP = topP
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self.topP = topP
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self.y = prompt
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self.y = prompt
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self.cache = []
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self.cache = []
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self.repetitionPenalty = repetitionPenalty
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self.repetitionContextSize = repetitionContextSize
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if repetitionContextSize > 1 {
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if prompt.shape[0] <= repetitionContextSize {
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self.repetitionContext = prompt
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} else {
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self.repetitionContext = prompt[-repetitionContextSize ... -1]
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}
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} else {
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self.repetitionContext = []
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}
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}
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}
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mutating public func next() -> MLXArray? {
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mutating public func next() -> MLXArray? {
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var logits: MLXArray
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var logits: MLXArray
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(logits, cache) = model(expandedDimensions(y, axis: 0), cache: cache.isEmpty ? nil : cache)
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(logits, cache) = model(expandedDimensions(y, axis: 0), cache: cache.isEmpty ? nil : cache)
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y = sample(logits: logits[-1, axis: 1], temp: temp, topP: topP)
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logits = logits[0..., -1, 0...]
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if repetitionPenalty > 1.0 {
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// apply repetition penalty
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logits = applyRepetitionPenalty(
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logits: logits, repetitionContext: repetitionContext, penalty: repetitionPenalty)
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}
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y = sample(logits: logits, temp: temp, topP: topP)
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// append the current token to the context and check repetitionPenalty context see if need to remove the first token
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if repetitionContextSize > 1 {
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repetitionContext = concatenated([repetitionContext, y], axis: 0)
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if repetitionContext.shape[0] > repetitionContextSize {
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repetitionContext = repetitionContext[1...]
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}
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}
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return y
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return y
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}
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}
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@@ -71,7 +120,10 @@ public struct TokenIterator: Sequence, IteratorProtocol {
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///
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///
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/// Note that because MLXArray is not thread safe this eval's the result and sends the TokenId back
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/// Note that because MLXArray is not thread safe this eval's the result and sends the TokenId back
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/// to the caller.
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/// to the caller.
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public func generate(prompt: MLXArray, model: LLMModel, temp: Float = 0.0, topP: Float = 1.0) -> (
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public func generate(
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prompt: MLXArray, model: LLMModel, temp: Float = 0.0, topP: Float = 1.0,
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repetitionPenalty: Float = 1.0, repetitionContextSize: Int = 20
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) -> (
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Task<Void, Never>, AsyncBufferSequence<AsyncChannel<Int>>
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Task<Void, Never>, AsyncBufferSequence<AsyncChannel<Int>>
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) {
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) {
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let channel = AsyncChannel<Int>()
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let channel = AsyncChannel<Int>()
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@@ -80,12 +132,38 @@ public func generate(prompt: MLXArray, model: LLMModel, temp: Float = 0.0, topP:
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let task = Task {
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let task = Task {
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var y = prompt
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var y = prompt
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var cache = [(MLXArray, MLXArray)]()
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var cache = [(MLXArray, MLXArray)]()
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var repetitionContext: MLXArray
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if repetitionContextSize > 1 {
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if prompt.shape[0] <= repetitionContextSize {
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repetitionContext = prompt
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} else {
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repetitionContext = prompt[-repetitionContextSize ... -1]
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}
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} else {
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repetitionContext = []
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}
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while !Task.isCancelled {
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while !Task.isCancelled {
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var logits: MLXArray
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var logits: MLXArray
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(logits, cache) = model(
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(logits, cache) = model(
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expandedDimensions(y, axis: 0), cache: cache.isEmpty ? nil : cache)
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expandedDimensions(y, axis: 0), cache: cache.isEmpty ? nil : cache)
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y = sample(logits: logits[-1, axis: 1], temp: temp, topP: topP)
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logits = logits[0..., -1, 0...]
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if repetitionPenalty > 1.0 {
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// apply repetition penalty
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logits = applyRepetitionPenalty(
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logits: logits, repetitionContext: repetitionContext, penalty: repetitionPenalty
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)
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}
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y = sample(logits: logits, temp: temp, topP: topP)
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// append the current token to the context and check repetitionPenalty context see if need to remove the first token
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if repetitionContextSize > 1 {
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repetitionContext = concatenated([repetitionContext, y], axis: 0)
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if repetitionContext.shape[0] > repetitionContextSize {
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repetitionContext = repetitionContext[1...]
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}
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}
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eval(y)
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eval(y)
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await channel.send(y.item(Int.self))
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await channel.send(y.item(Int.self))
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@@ -32,6 +32,12 @@ struct LLMArguments: ParsableArguments {
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@Option(name: .shortAndLong, help: "The top p sampling")
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@Option(name: .shortAndLong, help: "The top p sampling")
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var topP: Float = 0.9
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var topP: Float = 0.9
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@Option(name: .shortAndLong, help: "The penalty factor for repeating tokens")
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var repetitionPenalty: Float = 1.0
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@Option(name: .shortAndLong, help: "The number of tokens to consider for repetition penalty")
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var repetitionContextSize: Int = 20
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@Option(name: .long, help: "The PRNG seed")
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@Option(name: .long, help: "The PRNG seed")
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var seed: UInt64 = 0
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var seed: UInt64 = 0
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@@ -130,7 +136,9 @@ struct SyncGenerator: AsyncParsableCommand {
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var printed = 0
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var printed = 0
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for token in TokenIterator(
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for token in TokenIterator(
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prompt: MLXArray(promptTokens), model: model, temp: args.temperature, topP: args.topP)
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prompt: MLXArray(promptTokens), model: model, temp: args.temperature, topP: args.topP,
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repetitionPenalty: args.repetitionPenalty,
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repetitionContextSize: args.repetitionContextSize)
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{
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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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@@ -208,7 +216,9 @@ struct AsyncGenerator: AsyncParsableCommand {
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var printed = 0
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var printed = 0
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let (task, channel) = generate(
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let (task, channel) = generate(
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prompt: MLXArray(promptTokens), model: model, temp: args.temperature, topP: args.topP)
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prompt: MLXArray(promptTokens), model: model, temp: args.temperature, topP: args.topP,
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repetitionPenalty: args.repetitionPenalty,
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repetitionContextSize: args.repetitionContextSize)
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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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@@ -15,7 +15,7 @@
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"location" : "https://github.com/ml-explore/mlx-swift",
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"location" : "https://github.com/ml-explore/mlx-swift",
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"state" : {
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"state" : {
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"branch" : "main",
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"branch" : "main",
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"revision" : "f4b00d8ce6917c64bd5057a4fb19433e848fdf87"
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"revision" : "a1c544c817d44cfdfa1a650f521066b565c2ae4f"
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}
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}
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},
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},
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{
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{
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@@ -78,7 +78,7 @@
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"location" : "https://github.com/huggingface/swift-transformers",
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"location" : "https://github.com/huggingface/swift-transformers",
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"state" : {
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"state" : {
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"branch" : "main",
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"branch" : "main",
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"revision" : "9d82e00af680253499f1a9372abb2552a73527fb"
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"revision" : "74b94211bdc741694ed7e700a1104c72e5ba68fe"
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}
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}
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}
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}
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],
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],
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@@ -55,13 +55,17 @@
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argument = "--model mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX"
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argument = "--model mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX"
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isEnabled = "NO">
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isEnabled = "NO">
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</CommandLineArgument>
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</CommandLineArgument>
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<CommandLineArgument
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argument = "--repetition-penalty 1.2"
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isEnabled = "NO">
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</CommandLineArgument>
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<CommandLineArgument
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<CommandLineArgument
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argument = "--top-p 0.95"
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argument = "--top-p 0.95"
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isEnabled = "NO">
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isEnabled = "NO">
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</CommandLineArgument>
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</CommandLineArgument>
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<CommandLineArgument
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<CommandLineArgument
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argument = "--model mlx-community/c4ai-command-r-v01-4bit"
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argument = "--model mlx-community/c4ai-command-r-v01-4bit"
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isEnabled = "YES">
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isEnabled = "NO">
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</CommandLineArgument>
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</CommandLineArgument>
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<CommandLineArgument
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<CommandLineArgument
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argument = "--model mlx-community/starcoder2-3b-4bit"
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argument = "--model mlx-community/starcoder2-3b-4bit"
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@@ -77,7 +81,7 @@
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</CommandLineArgument>
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</CommandLineArgument>
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<CommandLineArgument
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<CommandLineArgument
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argument = "--model mlx-community/Mistral-7B-v0.1-hf-4bit-mlx"
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argument = "--model mlx-community/Mistral-7B-v0.1-hf-4bit-mlx"
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isEnabled = "NO">
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isEnabled = "YES">
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</CommandLineArgument>
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</CommandLineArgument>
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<CommandLineArgument
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<CommandLineArgument
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argument = "--model mlx-community/quantized-gemma-2b-it"
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argument = "--model mlx-community/quantized-gemma-2b-it"
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