gguf: test local file with big metadata (#777)

Ref comment:
#767 (comment)

This file have 32MB of just metadata (no tensor), can be useful for
testing or benchmarking.

Due to its large size, running the download process inside the test case
may cause timeout (so I moved it to `beforeAll`)

Author: ngxson

packages/gguf/src/gguf.spec.ts

@@ -1,4 +1,5 @@
-import { describe, expect, it } from "vitest";
+import { beforeAll, describe, expect, it } from "vitest";
+import type { GGUFParseOutput } from "./gguf";
 import { GGMLQuantizationType, gguf, ggufAllShards, parseGgufShardFilename } from "./gguf";
 import fs from "node:fs";
 
@@ -12,8 +13,19 @@ const URL_V1 =
 	"https://huggingface.co/tmadge/testing/resolve/66c078028d1ff92d7a9264a1590bc61ba6437933/tinyllamas-stories-260k-f32.gguf";
 const URL_SHARDED_GROK =
 	"https://huggingface.co/Arki05/Grok-1-GGUF/resolve/ecafa8d8eca9b8cd75d11a0d08d3a6199dc5a068/grok-1-IQ3_XS-split-00001-of-00009.gguf";
+const URL_BIG_METADATA = "https://huggingface.co/ngxson/test_gguf_models/resolve/main/gguf_test_big_metadata.gguf";
 
 describe("gguf", () => {
+	beforeAll(async () => {
+		// download the gguf for "load file" test, save to .cache directory
+		if (!fs.existsSync(".cache")) {
+			fs.mkdirSync(".cache");
+		}
+		const res = await fetch(URL_BIG_METADATA);
+		const arrayBuf = await res.arrayBuffer();
+		fs.writeFileSync(".cache/model.gguf", Buffer.from(arrayBuf));
+	});
+
 	it("should parse a llama2 7b", async () => {
 		const { metadata, tensorInfos } = await gguf(URL_LLAMA);
 
@@ -228,16 +240,10 @@ describe("gguf", () => {
 	});
 
 	it("should parse a local file", async () => {
-		// download the file and save to .cache folder
-		if (!fs.existsSync(".cache")) {
-			fs.mkdirSync(".cache");
-		}
-		const res = await fetch(URL_V1);
-		const arrayBuf = await res.arrayBuffer();
-		fs.writeFileSync(".cache/model.gguf", Buffer.from(arrayBuf));
-
-		const { metadata } = await gguf(".cache/model.gguf", { allowLocalFile: true });
-		expect(metadata).toMatchObject({ "general.name": "tinyllamas-stories-260k" });
+		const parsedGguf = await gguf(".cache/model.gguf", { allowLocalFile: true });
+		const { metadata } = parsedGguf as GGUFParseOutput<{ strict: false }>; // custom metadata arch, no need for typing
+		expect(metadata["dummy.1"]).toBeDefined(); // first metadata in the list
+		expect(metadata["dummy.32767"]).toBeDefined(); // last metadata in the list
 	});
 
 	it("should detect sharded gguf filename", async () => {