mirror of
https://github.com/ggerganov/llama.cpp.git
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llama.swiftui : add bench functionality (#4483)
* llama.swiftui : add bench button * llama.swiftui : initial bench functionality * force to use n_gpu_layers on simulator * add download buttons & expose llamaState.loadModel * update project.pbxproj * comment #Preview & fix editorconfig check * gitignore : xcode stuff * llama.swiftui : UX improvements * llama.swiftui : avoid data copy via "downloadTask" * llama.swiftui : remove model from project * llama : remove "mostly" from model infos * llama.swiftui : improve bench --------- Co-authored-by: jhen <developer@jhen.me>
This commit is contained in:
Georgi Gerganov
GitHub
parent
f7f468a97d
commit
800a489e4a
@ -23,3 +23,6 @@ insert_final_newline = unset
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[examples/server/public/*]
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indent_size = 2
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[examples/llama.swiftui/llama.swiftui.xcodeproj/*]
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indent_style = tab
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1
examples/llama.swiftui/.gitignore
vendored
1
examples/llama.swiftui/.gitignore
vendored
@ -1 +1,2 @@
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xcuserdata
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xcshareddata
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@ -6,16 +6,34 @@ enum LlamaError: Error {
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case couldNotInitializeContext
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}
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func llama_batch_clear(_ batch: inout llama_batch) {
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batch.n_tokens = 0
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}
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func llama_batch_add(_ batch: inout llama_batch, _ id: llama_token, _ pos: llama_pos, _ seq_ids: [llama_seq_id], _ logits: Bool) {
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batch.token [Int(batch.n_tokens)] = id
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batch.pos [Int(batch.n_tokens)] = pos
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batch.n_seq_id[Int(batch.n_tokens)] = Int32(seq_ids.count)
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for i in 0..<seq_ids.count {
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batch.seq_id[Int(batch.n_tokens)]![Int(i)] = seq_ids[i]
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}
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batch.logits [Int(batch.n_tokens)] = logits ? 1 : 0
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batch.n_tokens += 1
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}
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actor LlamaContext {
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private var model: OpaquePointer
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private var context: OpaquePointer
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private var batch: llama_batch
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private var tokens_list: [llama_token]
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/// This variable is used to store temporarily invalid cchars
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private var temporary_invalid_cchars: [CChar]
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var n_len: Int32 = 512
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var n_len: Int32 = 64
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var n_cur: Int32 = 0
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var n_decode: Int32 = 0
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init(model: OpaquePointer, context: OpaquePointer) {
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@ -27,25 +45,34 @@ actor LlamaContext {
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}
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deinit {
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llama_batch_free(batch)
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llama_free(context)
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llama_free_model(model)
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llama_backend_free()
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}
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static func createContext(path: String) throws -> LlamaContext {
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static func create_context(path: String) throws -> LlamaContext {
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llama_backend_init(false)
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let model_params = llama_model_default_params()
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var model_params = llama_model_default_params()
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#if targetEnvironment(simulator)
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model_params.n_gpu_layers = 0
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print("Running on simulator, force use n_gpu_layers = 0")
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#endif
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let model = llama_load_model_from_file(path, model_params)
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guard let model else {
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print("Could not load model at \(path)")
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throw LlamaError.couldNotInitializeContext
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}
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let n_threads = max(1, min(8, ProcessInfo.processInfo.processorCount - 2))
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print("Using \(n_threads) threads")
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var ctx_params = llama_context_default_params()
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ctx_params.seed = 1234
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ctx_params.seed = 1234
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ctx_params.n_ctx = 2048
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ctx_params.n_threads = 8
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ctx_params.n_threads_batch = 8
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ctx_params.n_threads = UInt32(n_threads)
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ctx_params.n_threads_batch = UInt32(n_threads)
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let context = llama_new_context_with_model(model, ctx_params)
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guard let context else {
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@ -56,6 +83,26 @@ actor LlamaContext {
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return LlamaContext(model: model, context: context)
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}
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func model_info() -> String {
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let result = UnsafeMutablePointer<Int8>.allocate(capacity: 256)
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result.initialize(repeating: Int8(0), count: 256)
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defer {
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result.deallocate()
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}
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// TODO: this is probably very stupid way to get the string from C
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let nChars = llama_model_desc(model, result, 256)
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let bufferPointer = UnsafeBufferPointer(start: result, count: Int(nChars))
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var SwiftString = ""
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for char in bufferPointer {
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SwiftString.append(Character(UnicodeScalar(UInt8(char))))
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}
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return SwiftString
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}
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func get_n_tokens() -> Int32 {
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return batch.n_tokens;
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}
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@ -79,16 +126,11 @@ actor LlamaContext {
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print(String(cString: token_to_piece(token: id) + [0]))
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}
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// batch = llama_batch_init(512, 0) // done in init()
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batch.n_tokens = Int32(tokens_list.count)
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llama_batch_clear(&batch)
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for i1 in 0..<batch.n_tokens {
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for i1 in 0..<tokens_list.count {
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let i = Int(i1)
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batch.token[i] = tokens_list[i]
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batch.pos[i] = i1
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batch.n_seq_id[Int(i)] = 1
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batch.seq_id[Int(i)]![0] = 0
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batch.logits[i] = 0
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llama_batch_add(&batch, tokens_list[i], Int32(i), [0], false)
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}
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batch.logits[Int(batch.n_tokens) - 1] = 1 // true
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@ -141,18 +183,11 @@ actor LlamaContext {
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print(new_token_str)
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// tokens_list.append(new_token_id)
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batch.n_tokens = 0
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batch.token[Int(batch.n_tokens)] = new_token_id
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batch.pos[Int(batch.n_tokens)] = n_cur
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batch.n_seq_id[Int(batch.n_tokens)] = 1
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batch.seq_id[Int(batch.n_tokens)]![0] = 0
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batch.logits[Int(batch.n_tokens)] = 1 // true
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batch.n_tokens += 1
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llama_batch_clear(&batch)
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llama_batch_add(&batch, new_token_id, n_cur, [0], true)
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n_decode += 1
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n_cur += 1
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n_cur += 1
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if llama_decode(context, batch) != 0 {
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print("failed to evaluate llama!")
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@ -161,14 +196,111 @@ actor LlamaContext {
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return new_token_str
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}
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func bench(pp: Int, tg: Int, pl: Int, nr: Int = 1) -> String {
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var pp_avg: Double = 0
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var tg_avg: Double = 0
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var pp_std: Double = 0
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var tg_std: Double = 0
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for r in 0..<nr {
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// bench prompt processing
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llama_batch_clear(&batch)
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let n_tokens = pp
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for i in 0..<n_tokens {
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llama_batch_add(&batch, 0, Int32(i), [0], false)
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}
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batch.logits[Int(batch.n_tokens) - 1] = 1 // true
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llama_kv_cache_clear(context)
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let t_pp_start = ggml_time_us()
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if llama_decode(context, batch) != 0 {
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print("llama_decode() failed during prompt")
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}
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let t_pp_end = ggml_time_us()
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// bench text generation
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llama_kv_cache_clear(context)
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let t_tg_start = ggml_time_us()
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for i in 0..<tg {
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llama_batch_clear(&batch)
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for j in 0..<pl {
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llama_batch_add(&batch, 0, Int32(i), [Int32(j)], true)
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}
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if llama_decode(context, batch) != 0 {
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print("llama_decode() failed during text generation")
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}
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}
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let t_tg_end = ggml_time_us()
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llama_kv_cache_clear(context)
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let t_pp = Double(t_pp_end - t_pp_start) / 1000000.0
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let t_tg = Double(t_tg_end - t_tg_start) / 1000000.0
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let speed_pp = Double(pp) / t_pp
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let speed_tg = Double(pl*tg) / t_tg
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pp_avg += speed_pp
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tg_avg += speed_tg
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pp_std += speed_pp * speed_pp
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tg_std += speed_tg * speed_tg
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print("pp \(speed_pp) t/s, tg \(speed_tg) t/s")
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}
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pp_avg /= Double(nr)
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tg_avg /= Double(nr)
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if nr > 1 {
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pp_std = sqrt(pp_std / Double(nr - 1) - pp_avg * pp_avg * Double(nr) / Double(nr - 1))
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tg_std = sqrt(tg_std / Double(nr - 1) - tg_avg * tg_avg * Double(nr) / Double(nr - 1))
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} else {
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pp_std = 0
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tg_std = 0
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}
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let model_desc = model_info();
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let model_size = String(format: "%.2f GiB", Double(llama_model_size(model)) / 1024.0 / 1024.0 / 1024.0);
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let model_n_params = String(format: "%.2f B", Double(llama_model_n_params(model)) / 1e9);
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let backend = "Metal";
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let pp_avg_str = String(format: "%.2f", pp_avg);
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let tg_avg_str = String(format: "%.2f", tg_avg);
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let pp_std_str = String(format: "%.2f", pp_std);
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let tg_std_str = String(format: "%.2f", tg_std);
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var result = ""
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result += String("| model | size | params | backend | test | t/s |\n")
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result += String("| --- | --- | --- | --- | --- | --- |\n")
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result += String("| \(model_desc) | \(model_size) | \(model_n_params) | \(backend) | pp \(pp) | \(pp_avg_str) ± \(pp_std_str) |\n")
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result += String("| \(model_desc) | \(model_size) | \(model_n_params) | \(backend) | tg \(tg) | \(tg_avg_str) ± \(tg_std_str) |\n")
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return result;
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}
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func clear() {
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tokens_list.removeAll()
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temporary_invalid_cchars.removeAll()
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llama_kv_cache_clear(context)
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}
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private func tokenize(text: String, add_bos: Bool) -> [llama_token] {
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let utf8Count = text.utf8.count
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let n_tokens = utf8Count + (add_bos ? 1 : 0)
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let n_tokens = utf8Count + (add_bos ? 1 : 0) + 1
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let tokens = UnsafeMutablePointer<llama_token>.allocate(capacity: n_tokens)
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let tokenCount = llama_tokenize(model, text, Int32(utf8Count), tokens, Int32(n_tokens), add_bos, false)
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@ -1,481 +1,483 @@
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// !$*UTF8*$!
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{
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archiveVersion = 1;
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classes = {
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};
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objectVersion = 56;
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objects = {
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archiveVersion = 1;
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classes = {
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};
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objectVersion = 56;
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objects = {
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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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||||
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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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|
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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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|
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|
||||
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|
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||||
CLANG_WARN_ENUM_CONVERSION = YES;
|
||||
CLANG_WARN_INFINITE_RECURSION = YES;
|
||||
CLANG_WARN_INT_CONVERSION = YES;
|
||||
CLANG_WARN_NON_LITERAL_NULL_CONVERSION = YES;
|
||||
CLANG_WARN_OBJC_IMPLICIT_RETAIN_SELF = YES;
|
||||
CLANG_WARN_OBJC_LITERAL_CONVERSION = YES;
|
||||
CLANG_WARN_OBJC_ROOT_CLASS = YES_ERROR;
|
||||
CLANG_WARN_QUOTED_INCLUDE_IN_FRAMEWORK_HEADER = YES;
|
||||
CLANG_WARN_RANGE_LOOP_ANALYSIS = YES;
|
||||
CLANG_WARN_STRICT_PROTOTYPES = YES;
|
||||
CLANG_WARN_SUSPICIOUS_MOVE = YES;
|
||||
CLANG_WARN_UNGUARDED_AVAILABILITY = YES_AGGRESSIVE;
|
||||
CLANG_WARN_UNREACHABLE_CODE = YES;
|
||||
CLANG_WARN__DUPLICATE_METHOD_MATCH = YES;
|
||||
COPY_PHASE_STRIP = NO;
|
||||
DEBUG_INFORMATION_FORMAT = dwarf;
|
||||
ENABLE_STRICT_OBJC_MSGSEND = YES;
|
||||
ENABLE_TESTABILITY = YES;
|
||||
ENABLE_USER_SCRIPT_SANDBOXING = YES;
|
||||
GCC_C_LANGUAGE_STANDARD = gnu17;
|
||||
GCC_DYNAMIC_NO_PIC = NO;
|
||||
GCC_NO_COMMON_BLOCKS = YES;
|
||||
GCC_OPTIMIZATION_LEVEL = 0;
|
||||
GCC_PREPROCESSOR_DEFINITIONS = (
|
||||
"DEBUG=1",
|
||||
"$(inherited)",
|
||||
);
|
||||
GCC_WARN_64_TO_32_BIT_CONVERSION = YES;
|
||||
GCC_WARN_ABOUT_RETURN_TYPE = YES_ERROR;
|
||||
GCC_WARN_UNDECLARED_SELECTOR = YES;
|
||||
GCC_WARN_UNINITIALIZED_AUTOS = YES_AGGRESSIVE;
|
||||
GCC_WARN_UNUSED_FUNCTION = YES;
|
||||
GCC_WARN_UNUSED_VARIABLE = YES;
|
||||
IPHONEOS_DEPLOYMENT_TARGET = 17.0;
|
||||
LOCALIZATION_PREFERS_STRING_CATALOGS = YES;
|
||||
MTL_ENABLE_DEBUG_INFO = INCLUDE_SOURCE;
|
||||
MTL_FAST_MATH = YES;
|
||||
ONLY_ACTIVE_ARCH = YES;
|
||||
SDKROOT = iphoneos;
|
||||
SWIFT_ACTIVE_COMPILATION_CONDITIONS = "DEBUG $(inherited)";
|
||||
SWIFT_OPTIMIZATION_LEVEL = "-Onone";
|
||||
};
|
||||
name = Debug;
|
||||
};
|
||||
8A1C83802AC328BE0096AF73 /* Release */ = {
|
||||
isa = XCBuildConfiguration;
|
||||
buildSettings = {
|
||||
ALWAYS_SEARCH_USER_PATHS = NO;
|
||||
ASSETCATALOG_COMPILER_GENERATE_SWIFT_ASSET_SYMBOL_EXTENSIONS = YES;
|
||||
CLANG_ANALYZER_NONNULL = YES;
|
||||
CLANG_ANALYZER_NUMBER_OBJECT_CONVERSION = YES_AGGRESSIVE;
|
||||
CLANG_CXX_LANGUAGE_STANDARD = "gnu++20";
|
||||
CLANG_ENABLE_MODULES = YES;
|
||||
CLANG_ENABLE_OBJC_ARC = YES;
|
||||
CLANG_ENABLE_OBJC_WEAK = YES;
|
||||
CLANG_WARN_BLOCK_CAPTURE_AUTORELEASING = YES;
|
||||
CLANG_WARN_BOOL_CONVERSION = YES;
|
||||
CLANG_WARN_COMMA = YES;
|
||||
CLANG_WARN_CONSTANT_CONVERSION = YES;
|
||||
CLANG_WARN_DEPRECATED_OBJC_IMPLEMENTATIONS = YES;
|
||||
CLANG_WARN_DIRECT_OBJC_ISA_USAGE = YES_ERROR;
|
||||
CLANG_WARN_DOCUMENTATION_COMMENTS = YES;
|
||||
CLANG_WARN_EMPTY_BODY = YES;
|
||||
CLANG_WARN_ENUM_CONVERSION = YES;
|
||||
CLANG_WARN_INFINITE_RECURSION = YES;
|
||||
CLANG_WARN_INT_CONVERSION = YES;
|
||||
CLANG_WARN_NON_LITERAL_NULL_CONVERSION = YES;
|
||||
CLANG_WARN_OBJC_IMPLICIT_RETAIN_SELF = YES;
|
||||
CLANG_WARN_OBJC_LITERAL_CONVERSION = YES;
|
||||
CLANG_WARN_OBJC_ROOT_CLASS = YES_ERROR;
|
||||
CLANG_WARN_QUOTED_INCLUDE_IN_FRAMEWORK_HEADER = YES;
|
||||
CLANG_WARN_RANGE_LOOP_ANALYSIS = YES;
|
||||
CLANG_WARN_STRICT_PROTOTYPES = YES;
|
||||
CLANG_WARN_SUSPICIOUS_MOVE = YES;
|
||||
CLANG_WARN_UNGUARDED_AVAILABILITY = YES_AGGRESSIVE;
|
||||
CLANG_WARN_UNREACHABLE_CODE = YES;
|
||||
CLANG_WARN__DUPLICATE_METHOD_MATCH = YES;
|
||||
COPY_PHASE_STRIP = NO;
|
||||
DEBUG_INFORMATION_FORMAT = "dwarf-with-dsym";
|
||||
ENABLE_NS_ASSERTIONS = NO;
|
||||
ENABLE_STRICT_OBJC_MSGSEND = YES;
|
||||
ENABLE_USER_SCRIPT_SANDBOXING = YES;
|
||||
GCC_C_LANGUAGE_STANDARD = gnu17;
|
||||
GCC_NO_COMMON_BLOCKS = YES;
|
||||
GCC_WARN_64_TO_32_BIT_CONVERSION = YES;
|
||||
GCC_WARN_ABOUT_RETURN_TYPE = YES_ERROR;
|
||||
GCC_WARN_UNDECLARED_SELECTOR = YES;
|
||||
GCC_WARN_UNINITIALIZED_AUTOS = YES_AGGRESSIVE;
|
||||
GCC_WARN_UNUSED_FUNCTION = YES;
|
||||
GCC_WARN_UNUSED_VARIABLE = YES;
|
||||
IPHONEOS_DEPLOYMENT_TARGET = 17.0;
|
||||
LOCALIZATION_PREFERS_STRING_CATALOGS = YES;
|
||||
MTL_ENABLE_DEBUG_INFO = NO;
|
||||
MTL_FAST_MATH = YES;
|
||||
SDKROOT = iphoneos;
|
||||
SWIFT_COMPILATION_MODE = wholemodule;
|
||||
VALIDATE_PRODUCT = YES;
|
||||
};
|
||||
name = Release;
|
||||
};
|
||||
8A1C83822AC328BE0096AF73 /* Debug */ = {
|
||||
isa = XCBuildConfiguration;
|
||||
buildSettings = {
|
||||
ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
|
||||
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
|
||||
CLANG_ENABLE_MODULES = YES;
|
||||
CODE_SIGN_STYLE = Automatic;
|
||||
CURRENT_PROJECT_VERSION = 1;
|
||||
DEVELOPMENT_ASSET_PATHS = "\"llama.swiftui/Preview Content\"";
|
||||
DEVELOPMENT_TEAM = STLSG3FG8Q;
|
||||
ENABLE_PREVIEWS = YES;
|
||||
GENERATE_INFOPLIST_FILE = YES;
|
||||
INFOPLIST_KEY_UIApplicationSceneManifest_Generation = YES;
|
||||
INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
|
||||
INFOPLIST_KEY_UILaunchScreen_Generation = YES;
|
||||
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPad = "UIInterfaceOrientationPortrait UIInterfaceOrientationPortraitUpsideDown UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
|
||||
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPhone = "UIInterfaceOrientationPortrait UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
|
||||
IPHONEOS_DEPLOYMENT_TARGET = 16.0;
|
||||
LD_RUNPATH_SEARCH_PATHS = (
|
||||
"$(inherited)",
|
||||
"@executable_path/Frameworks",
|
||||
);
|
||||
MARKETING_VERSION = 1.0;
|
||||
PRODUCT_BUNDLE_IDENTIFIER = "com.bachittle.llama-swift";
|
||||
PRODUCT_NAME = "$(TARGET_NAME)";
|
||||
SWIFT_EMIT_LOC_STRINGS = YES;
|
||||
SWIFT_OBJC_BRIDGING_HEADER = "llama.cpp.swift/bridging-header.h";
|
||||
SWIFT_OPTIMIZATION_LEVEL = "-Onone";
|
||||
SWIFT_VERSION = 5.0;
|
||||
TARGETED_DEVICE_FAMILY = "1,2";
|
||||
};
|
||||
name = Debug;
|
||||
};
|
||||
8A1C83832AC328BE0096AF73 /* Release */ = {
|
||||
isa = XCBuildConfiguration;
|
||||
buildSettings = {
|
||||
ASSETCATALOG_COMPILER_APPICON_NAME = AppIcon;
|
||||
ASSETCATALOG_COMPILER_GLOBAL_ACCENT_COLOR_NAME = AccentColor;
|
||||
CLANG_ENABLE_MODULES = YES;
|
||||
CODE_SIGN_STYLE = Automatic;
|
||||
CURRENT_PROJECT_VERSION = 1;
|
||||
DEVELOPMENT_ASSET_PATHS = "\"llama.swiftui/Preview Content\"";
|
||||
DEVELOPMENT_TEAM = STLSG3FG8Q;
|
||||
ENABLE_PREVIEWS = YES;
|
||||
GENERATE_INFOPLIST_FILE = YES;
|
||||
INFOPLIST_KEY_UIApplicationSceneManifest_Generation = YES;
|
||||
INFOPLIST_KEY_UIApplicationSupportsIndirectInputEvents = YES;
|
||||
INFOPLIST_KEY_UILaunchScreen_Generation = YES;
|
||||
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPad = "UIInterfaceOrientationPortrait UIInterfaceOrientationPortraitUpsideDown UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
|
||||
INFOPLIST_KEY_UISupportedInterfaceOrientations_iPhone = "UIInterfaceOrientationPortrait UIInterfaceOrientationLandscapeLeft UIInterfaceOrientationLandscapeRight";
|
||||
IPHONEOS_DEPLOYMENT_TARGET = 16.0;
|
||||
LD_RUNPATH_SEARCH_PATHS = (
|
||||
"$(inherited)",
|
||||
"@executable_path/Frameworks",
|
||||
);
|
||||
MARKETING_VERSION = 1.0;
|
||||
PRODUCT_BUNDLE_IDENTIFIER = "com.bachittle.llama-swift";
|
||||
PRODUCT_NAME = "$(TARGET_NAME)";
|
||||
SWIFT_EMIT_LOC_STRINGS = YES;
|
||||
SWIFT_OBJC_BRIDGING_HEADER = "llama.cpp.swift/bridging-header.h";
|
||||
SWIFT_VERSION = 5.0;
|
||||
TARGETED_DEVICE_FAMILY = "1,2";
|
||||
};
|
||||
name = Release;
|
||||
};
|
||||
/* End XCBuildConfiguration section */
|
||||
|
||||
/* Begin XCConfigurationList section */
|
||||
8A1C836E2AC328BD0096AF73 /* Build configuration list for PBXProject "llama.swiftui" */ = {
|
||||
isa = XCConfigurationList;
|
||||
buildConfigurations = (
|
||||
8A1C837F2AC328BE0096AF73 /* Debug */,
|
||||
8A1C83802AC328BE0096AF73 /* Release */,
|
||||
);
|
||||
defaultConfigurationIsVisible = 0;
|
||||
defaultConfigurationName = Release;
|
||||
};
|
||||
8A1C83812AC328BE0096AF73 /* Build configuration list for PBXNativeTarget "llama.swiftui" */ = {
|
||||
isa = XCConfigurationList;
|
||||
buildConfigurations = (
|
||||
8A1C83822AC328BE0096AF73 /* Debug */,
|
||||
8A1C83832AC328BE0096AF73 /* Release */,
|
||||
);
|
||||
defaultConfigurationIsVisible = 0;
|
||||
defaultConfigurationName = Release;
|
||||
};
|
||||
8A1C836E2AC328BD0096AF73 /* Build configuration list for PBXProject "llama.swiftui" */ = {
|
||||
isa = XCConfigurationList;
|
||||
buildConfigurations = (
|
||||
8A1C837F2AC328BE0096AF73 /* Debug */,
|
||||
8A1C83802AC328BE0096AF73 /* Release */,
|
||||
);
|
||||
defaultConfigurationIsVisible = 0;
|
||||
defaultConfigurationName = Release;
|
||||
};
|
||||
8A1C83812AC328BE0096AF73 /* Build configuration list for PBXNativeTarget "llama.swiftui" */ = {
|
||||
isa = XCConfigurationList;
|
||||
buildConfigurations = (
|
||||
8A1C83822AC328BE0096AF73 /* Debug */,
|
||||
8A1C83832AC328BE0096AF73 /* Release */,
|
||||
);
|
||||
defaultConfigurationIsVisible = 0;
|
||||
defaultConfigurationName = Release;
|
||||
};
|
||||
/* End XCConfigurationList section */
|
||||
};
|
||||
rootObject = 8A1C836B2AC328BD0096AF73 /* Project object */;
|
||||
};
|
||||
rootObject = 8A1C836B2AC328BD0096AF73 /* Project object */;
|
||||
}
|
||||
|
||||
@ -3,24 +3,26 @@ import Foundation
|
||||
@MainActor
|
||||
class LlamaState: ObservableObject {
|
||||
@Published var messageLog = ""
|
||||
@Published var cacheCleared = false
|
||||
|
||||
private var llamaContext: LlamaContext?
|
||||
private var modelUrl: URL? {
|
||||
Bundle.main.url(forResource: "q8_0", withExtension: "gguf", subdirectory: "models")
|
||||
private var defaultModelUrl: URL? {
|
||||
Bundle.main.url(forResource: "ggml-model", withExtension: "gguf", subdirectory: "models")
|
||||
// Bundle.main.url(forResource: "llama-2-7b-chat", withExtension: "Q2_K.gguf", subdirectory: "models")
|
||||
}
|
||||
|
||||
init() {
|
||||
do {
|
||||
try loadModel()
|
||||
try loadModel(modelUrl: defaultModelUrl)
|
||||
} catch {
|
||||
messageLog += "Error!\n"
|
||||
}
|
||||
}
|
||||
|
||||
private func loadModel() throws {
|
||||
func loadModel(modelUrl: URL?) throws {
|
||||
messageLog += "Loading model...\n"
|
||||
if let modelUrl {
|
||||
llamaContext = try LlamaContext.createContext(path: modelUrl.path())
|
||||
llamaContext = try LlamaContext.create_context(path: modelUrl.path())
|
||||
messageLog += "Loaded model \(modelUrl.lastPathComponent)\n"
|
||||
} else {
|
||||
messageLog += "Could not locate model\n"
|
||||
@ -31,7 +33,7 @@ class LlamaState: ObservableObject {
|
||||
guard let llamaContext else {
|
||||
return
|
||||
}
|
||||
messageLog += "Attempting to complete text...\n"
|
||||
|
||||
await llamaContext.completion_init(text: text)
|
||||
messageLog += "\(text)"
|
||||
|
||||
@ -42,4 +44,42 @@ class LlamaState: ObservableObject {
|
||||
await llamaContext.clear()
|
||||
messageLog += "\n\ndone\n"
|
||||
}
|
||||
|
||||
func bench() async {
|
||||
guard let llamaContext else {
|
||||
return
|
||||
}
|
||||
|
||||
messageLog += "\n"
|
||||
messageLog += "Running benchmark...\n"
|
||||
messageLog += "Model info: "
|
||||
messageLog += await llamaContext.model_info() + "\n"
|
||||
|
||||
let t_start = DispatchTime.now().uptimeNanoseconds
|
||||
await llamaContext.bench(pp: 8, tg: 4, pl: 1) // heat up
|
||||
let t_end = DispatchTime.now().uptimeNanoseconds
|
||||
|
||||
let t_heat = Double(t_end - t_start) / 1_000_000_000.0
|
||||
messageLog += "Heat up time: \(t_heat) seconds, please wait...\n"
|
||||
|
||||
// if more than 5 seconds, then we're probably running on a slow device
|
||||
if t_heat > 5.0 {
|
||||
messageLog += "Heat up time is too long, aborting benchmark\n"
|
||||
return
|
||||
}
|
||||
|
||||
let result = await llamaContext.bench(pp: 512, tg: 128, pl: 1, nr: 3)
|
||||
|
||||
messageLog += "\(result)"
|
||||
messageLog += "\n"
|
||||
}
|
||||
|
||||
func clear() async {
|
||||
guard let llamaContext else {
|
||||
return
|
||||
}
|
||||
|
||||
await llamaContext.clear()
|
||||
messageLog = ""
|
||||
}
|
||||
}
|
||||
|
||||
@ -5,24 +5,97 @@ struct ContentView: View {
|
||||
|
||||
@State private var multiLineText = ""
|
||||
|
||||
private static func cleanupModelCaches() {
|
||||
// Delete all models (*.gguf)
|
||||
let fileManager = FileManager.default
|
||||
let documentsUrl = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)[0]
|
||||
do {
|
||||
let fileURLs = try fileManager.contentsOfDirectory(at: documentsUrl, includingPropertiesForKeys: nil)
|
||||
for fileURL in fileURLs {
|
||||
if fileURL.pathExtension == "gguf" {
|
||||
try fileManager.removeItem(at: fileURL)
|
||||
}
|
||||
}
|
||||
} catch {
|
||||
print("Error while enumerating files \(documentsUrl.path): \(error.localizedDescription)")
|
||||
}
|
||||
}
|
||||
|
||||
var body: some View {
|
||||
VStack {
|
||||
ScrollView(.vertical) {
|
||||
ScrollView(.vertical, showsIndicators: true) {
|
||||
Text(llamaState.messageLog)
|
||||
.font(.system(size: 12))
|
||||
.frame(maxWidth: .infinity, alignment: .leading)
|
||||
.padding()
|
||||
.onTapGesture {
|
||||
UIApplication.shared.sendAction(#selector(UIResponder.resignFirstResponder), to: nil, from: nil, for: nil)
|
||||
}
|
||||
}
|
||||
|
||||
TextEditor(text: $multiLineText)
|
||||
.frame(height: 200)
|
||||
.frame(height: 80)
|
||||
.padding()
|
||||
.border(Color.gray, width: 0.5)
|
||||
Button(action: {
|
||||
sendText()
|
||||
}) {
|
||||
Text("Send")
|
||||
.padding()
|
||||
.background(Color.blue)
|
||||
.foregroundColor(.white)
|
||||
.cornerRadius(8)
|
||||
|
||||
HStack {
|
||||
Button("Send") {
|
||||
sendText()
|
||||
}
|
||||
.padding(8)
|
||||
.background(Color.blue)
|
||||
.foregroundColor(.white)
|
||||
.cornerRadius(8)
|
||||
|
||||
Button("Bench") {
|
||||
bench()
|
||||
}
|
||||
.padding(8)
|
||||
.background(Color.blue)
|
||||
.foregroundColor(.white)
|
||||
.cornerRadius(8)
|
||||
|
||||
Button("Clear") {
|
||||
clear()
|
||||
}
|
||||
.padding(8)
|
||||
.background(Color.blue)
|
||||
.foregroundColor(.white)
|
||||
.cornerRadius(8)
|
||||
|
||||
Button("Copy") {
|
||||
UIPasteboard.general.string = llamaState.messageLog
|
||||
}
|
||||
.padding(8)
|
||||
.background(Color.blue)
|
||||
.foregroundColor(.white)
|
||||
.cornerRadius(8)
|
||||
}
|
||||
|
||||
VStack {
|
||||
DownloadButton(
|
||||
llamaState: llamaState,
|
||||
modelName: "TinyLlama-1.1B (Q4_0)",
|
||||
modelUrl: "https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/resolve/main/tinyllama-1.1b-1t-openorca.Q4_0.gguf?download=true",
|
||||
filename: "tinyllama-1.1b-1t-openorca.Q4_0.gguf"
|
||||
)
|
||||
.font(.system(size: 12))
|
||||
.padding(.top, 4)
|
||||
|
||||
DownloadButton(
|
||||
llamaState: llamaState,
|
||||
modelName: "TinyLlama-1.1B (Q8_0)",
|
||||
modelUrl: "https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/resolve/main/tinyllama-1.1b-1t-openorca.Q8_0.gguf?download=true",
|
||||
filename: "tinyllama-1.1b-1t-openorca.Q8_0.gguf"
|
||||
)
|
||||
.font(.system(size: 12))
|
||||
|
||||
Button("Clear downloaded models") {
|
||||
ContentView.cleanupModelCaches()
|
||||
llamaState.cacheCleared = true
|
||||
}
|
||||
.padding(8)
|
||||
.font(.system(size: 12))
|
||||
}
|
||||
}
|
||||
.padding()
|
||||
@ -34,9 +107,20 @@ struct ContentView: View {
|
||||
multiLineText = ""
|
||||
}
|
||||
}
|
||||
|
||||
func bench() {
|
||||
Task {
|
||||
await llamaState.bench()
|
||||
}
|
||||
}
|
||||
|
||||
func clear() {
|
||||
Task {
|
||||
await llamaState.clear()
|
||||
}
|
||||
}
|
||||
}
|
||||
/*
|
||||
#Preview {
|
||||
ContentView()
|
||||
}
|
||||
*/
|
||||
|
||||
//#Preview {
|
||||
// ContentView()
|
||||
//}
|
||||
|
||||
122
examples/llama.swiftui/llama.swiftui/UI/DownloadButton.swift
Normal file
122
examples/llama.swiftui/llama.swiftui/UI/DownloadButton.swift
Normal file
@ -0,0 +1,122 @@
|
||||
import SwiftUI
|
||||
|
||||
struct DownloadButton: View {
|
||||
@ObservedObject private var llamaState: LlamaState
|
||||
private var modelName: String
|
||||
private var modelUrl: String
|
||||
private var filename: String
|
||||
|
||||
@State private var status: String
|
||||
|
||||
@State private var downloadTask: URLSessionDownloadTask?
|
||||
@State private var progress = 0.0
|
||||
@State private var observation: NSKeyValueObservation?
|
||||
|
||||
private static func getFileURL(filename: String) -> URL {
|
||||
FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)[0].appendingPathComponent(filename)
|
||||
}
|
||||
|
||||
private func checkFileExistenceAndUpdateStatus() {
|
||||
}
|
||||
|
||||
init(llamaState: LlamaState, modelName: String, modelUrl: String, filename: String) {
|
||||
self.llamaState = llamaState
|
||||
self.modelName = modelName
|
||||
self.modelUrl = modelUrl
|
||||
self.filename = filename
|
||||
|
||||
let fileURL = DownloadButton.getFileURL(filename: filename)
|
||||
status = FileManager.default.fileExists(atPath: fileURL.path) ? "downloaded" : "download"
|
||||
}
|
||||
|
||||
private func download() {
|
||||
status = "downloading"
|
||||
print("Downloading model \(modelName) from \(modelUrl)")
|
||||
guard let url = URL(string: modelUrl) else { return }
|
||||
let fileURL = DownloadButton.getFileURL(filename: filename)
|
||||
|
||||
downloadTask = URLSession.shared.downloadTask(with: url) { temporaryURL, response, error in
|
||||
if let error = error {
|
||||
print("Error: \(error.localizedDescription)")
|
||||
return
|
||||
}
|
||||
|
||||
guard let response = response as? HTTPURLResponse, (200...299).contains(response.statusCode) else {
|
||||
print("Server error!")
|
||||
return
|
||||
}
|
||||
|
||||
do {
|
||||
if let temporaryURL = temporaryURL {
|
||||
try FileManager.default.copyItem(at: temporaryURL, to: fileURL)
|
||||
print("Writing to \(filename) completed")
|
||||
|
||||
llamaState.cacheCleared = false
|
||||
|
||||
status = "downloaded"
|
||||
}
|
||||
} catch let err {
|
||||
print("Error: \(err.localizedDescription)")
|
||||
}
|
||||
}
|
||||
|
||||
observation = downloadTask?.progress.observe(\.fractionCompleted) { progress, _ in
|
||||
self.progress = progress.fractionCompleted
|
||||
}
|
||||
|
||||
downloadTask?.resume()
|
||||
}
|
||||
|
||||
var body: some View {
|
||||
VStack {
|
||||
if status == "download" {
|
||||
Button(action: download) {
|
||||
Text("Download " + modelName)
|
||||
}
|
||||
} else if status == "downloading" {
|
||||
Button(action: {
|
||||
downloadTask?.cancel()
|
||||
status = "download"
|
||||
}) {
|
||||
Text("\(modelName) (Downloading \(Int(progress * 100))%)")
|
||||
}
|
||||
} else if status == "downloaded" {
|
||||
Button(action: {
|
||||
let fileURL = DownloadButton.getFileURL(filename: filename)
|
||||
if !FileManager.default.fileExists(atPath: fileURL.path) {
|
||||
download()
|
||||
return
|
||||
}
|
||||
do {
|
||||
try llamaState.loadModel(modelUrl: fileURL)
|
||||
} catch let err {
|
||||
print("Error: \(err.localizedDescription)")
|
||||
}
|
||||
}) {
|
||||
Text("\(modelName) (Downloaded)")
|
||||
}
|
||||
} else {
|
||||
Text("Unknown status")
|
||||
}
|
||||
}
|
||||
.onDisappear() {
|
||||
downloadTask?.cancel()
|
||||
}
|
||||
.onChange(of: llamaState.cacheCleared) { newValue in
|
||||
if newValue {
|
||||
downloadTask?.cancel()
|
||||
let fileURL = DownloadButton.getFileURL(filename: filename)
|
||||
status = FileManager.default.fileExists(atPath: fileURL.path) ? "downloaded" : "download"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// #Preview {
|
||||
// DownloadButton(
|
||||
// llamaState: LlamaState(),
|
||||
// modelName: "TheBloke / TinyLlama-1.1B-1T-OpenOrca-GGUF (Q4_0)",
|
||||
// modelUrl: "https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/resolve/main/tinyllama-1.1b-1t-openorca.Q4_0.gguf?download=true",
|
||||
// filename: "tinyllama-1.1b-1t-openorca.Q4_0.gguf"
|
||||
// )
|
||||
// }
|
||||
33
llama.cpp
33
llama.cpp
@ -2397,25 +2397,25 @@ static std::string llama_model_ftype_name(llama_ftype ftype) {
|
||||
|
||||
switch (ftype) {
|
||||
case LLAMA_FTYPE_ALL_F32: return "all F32";
|
||||
case LLAMA_FTYPE_MOSTLY_F16: return "mostly F16";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_0: return "mostly Q4_0";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_1: return "mostly Q4_1";
|
||||
case LLAMA_FTYPE_MOSTLY_F16: return "F16";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_0: return "Q4_0";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_1: return "Q4_1";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16:
|
||||
return "mostly Q4_1, some F16";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_0: return "mostly Q5_0";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_1: return "mostly Q5_1";
|
||||
case LLAMA_FTYPE_MOSTLY_Q8_0: return "mostly Q8_0";
|
||||
return "Q4_1, some F16";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_0: return "Q5_0";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_1: return "Q5_1";
|
||||
case LLAMA_FTYPE_MOSTLY_Q8_0: return "Q8_0";
|
||||
|
||||
// K-quants
|
||||
case LLAMA_FTYPE_MOSTLY_Q2_K: return "mostly Q2_K";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "mostly Q3_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_M: return "mostly Q3_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_L: return "mostly Q3_K - Large";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_K_S: return "mostly Q4_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "mostly Q4_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_K_S: return "mostly Q5_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_K_M: return "mostly Q5_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q6_K: return "mostly Q6_K";
|
||||
case LLAMA_FTYPE_MOSTLY_Q2_K: return "Q2_K";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "Q3_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_M: return "Q3_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q3_K_L: return "Q3_K - Large";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_K_S: return "Q4_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "Q4_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_K_S: return "Q5_K - Small";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_K_M: return "Q5_K - Medium";
|
||||
case LLAMA_FTYPE_MOSTLY_Q6_K: return "Q6_K";
|
||||
|
||||
default: return "unknown, may not work";
|
||||
}
|
||||
@ -2533,6 +2533,7 @@ static void llm_load_hparams(
|
||||
ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
|
||||
|
||||
switch (hparams.n_layer) {
|
||||
case 22: model.type = e_model::MODEL_1B; break;
|
||||
case 26: model.type = e_model::MODEL_3B; break;
|
||||
case 32: model.type = e_model::MODEL_7B; break;
|
||||
case 40: model.type = e_model::MODEL_13B; break;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user