update zig

build.zig

@@ -26,7 +26,7 @@ pub fn build(b: *std.Build) !void {
     if (target.getOsTag() == .macos) {
         lib.defineCMacroRaw("GGML_USE_METAL");
         lib.defineCMacroRaw("GGML_METAL_NDEBUG");
-        lib.addCSourceFiles(&.{"deps/ggml/src/ggml-metal.m"}, &.{"-std=c11"});
+        lib.addCSourceFiles(.{ .files = &.{"deps/ggml/src/ggml-metal.m"}, .flags = &.{"-std=c11"} });
         lib.linkFramework("Foundation");
         lib.linkFramework("Metal");
         lib.linkFramework("MetalKit");

src/main.zig

@@ -43,7 +43,7 @@ pub fn napigenWrite(js: *napigen.JsContext, value: anytype) !napigen.napi_value
     return switch (@TypeOf(value)) {
         // alloc a pointer and write the value to it
         safetensors.SafeTensors, ggml.ggml_cgraph, ggml.ggml_cplan => {
-            var ptr = napigen.allocator.create(@TypeOf(value)) catch unreachable;
+            const ptr = napigen.allocator.create(@TypeOf(value)) catch unreachable;
             ptr.* = value;
             return js.write(ptr);
         },

src/safetensors.zig

@@ -29,7 +29,7 @@ pub fn safetensors_open(path: []const u8) !SafeTensors {
 
     var reader = file.reader();
     const header_start = @sizeOf(u64);
-    const header_size: usize = @intCast(try reader.readIntLittle(u64));
+    const header_size: usize = @intCast(try reader.readInt(u64, .little));
 
     return .{
         .file = file,

src/sampling.zig

@@ -21,7 +21,7 @@ pub fn sample_typical(tensor: *ggml.ggml_tensor, temperature: f32, tau: f32) !u3
     for (list.items) |it| entropy += -it.prob * @log(it.prob);
 
     // compute shifted_scores & sort
-    for (list.items) |*it| it.score = @fabs(-@log(it.prob) - entropy);
+    for (list.items) |*it| it.score = @abs(-@log(it.prob) - entropy);
     sort_by(list.items, .score, std.sort.desc(f32));
 
     if (find_cutoff(list.items, tau)) |i| {
@@ -70,8 +70,8 @@ pub fn sample_top_k_top_p(tensor: *ggml.ggml_tensor, top_k: u32, top_p: f32, tem
 
 fn prepare_candidates(tensor: *ggml.ggml_tensor) !std.ArrayList(Candidate) {
     var ptr = ggml.ggml_get_data_f32(tensor);
-    var probs = ptr[0..@intCast(tensor.ne[0])];
-    var items = try root.allocator.alloc(Candidate, probs.len);
+    const probs = ptr[0..@intCast(tensor.ne[0])];
+    const items = try root.allocator.alloc(Candidate, probs.len);
 
     if (probs.len == 0) {
         return error.InvalidInput;