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index 0000000000000000000000000000000000000000..06623902922ab5070db82858f9bb70a936082904
--- /dev/null
+++ b/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q0f32-ctx4k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75c5602d923eea8b6d4e19d65d0f5f932129a8b1ed2f1367d75f64f64ba580ea
+size 4796086
diff --git a/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f16_1-ctx4k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f16_1-ctx4k_cs1k-webgpu.wasm
new file mode 100644
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+++ b/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f16_1-ctx4k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d07d1bb06ce2455da8a2aab9bce9a746cb56ed4177611a7a33141cae4b422a79
+size 5056973
diff --git a/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f32_1-ctx4k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f32_1-ctx4k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..00f204362feaa3a3257879116ec3f4f827a4b36b
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+++ b/web-llm-models/v0_2_80/SmolLM2-360M-Instruct-q4f32_1-ctx4k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09434111064e168afc361d34925cbc776b108fa92d09b602f78517f417335804
+size 5027616
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f16-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f16-ctx2k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..beb8f7085fe8454de22c68617d5392cb0a16be74
--- /dev/null
+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f16-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c075fd75e08b580a80d44ca63f45f0c9fc67313c25afdeff9e002901a141d0b
+size 4665014
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f32-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f32-ctx2k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..88dca71ad6f7b41c232edc1af3846e5daf517278
--- /dev/null
+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q0f32-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78b9f19791b15bd7a9bf5da45338b91ee8c9025e2e0092a5d96f4f1ef9234724
+size 4533418
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f16_1-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f16_1-ctx2k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..d14c055b6476d44a15d895de28082b511c89f6b2
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+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f16_1-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef51c2e76fc1bb5e055edf961b84af026f6626d13533eb13a914e6a1e640c970
+size 4938116
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f32_1-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f32_1-ctx2k_cs1k-webgpu.wasm
new file mode 100644
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+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v0.4-q4f32_1-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a008cfbc8aea6047638edd32330c29e17eaf436c316e64c66050d85831f5074a
+size 4791630
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f16_1-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f16_1-ctx2k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..d14c055b6476d44a15d895de28082b511c89f6b2
--- /dev/null
+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f16_1-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef51c2e76fc1bb5e055edf961b84af026f6626d13533eb13a914e6a1e640c970
+size 4938116
diff --git a/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f32_1-ctx2k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f32_1-ctx2k_cs1k-webgpu.wasm
new file mode 100644
index 0000000000000000000000000000000000000000..1104b4fcc6f2305612ae040678adb6c4e8fe0504
--- /dev/null
+++ b/web-llm-models/v0_2_80/TinyLlama-1.1B-Chat-v1.0-q4f32_1-ctx2k_cs1k-webgpu.wasm
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a008cfbc8aea6047638edd32330c29e17eaf436c316e64c66050d85831f5074a
+size 4791630
diff --git a/web-llm-models/v0_2_80/compile_wasm.py b/web-llm-models/v0_2_80/compile_wasm.py
new file mode 100644
index 0000000000000000000000000000000000000000..0467c01d9b2d7c9916a00e5f2dc598e3534b045b
--- /dev/null
+++ b/web-llm-models/v0_2_80/compile_wasm.py
@@ -0,0 +1,274 @@
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+LOG_PATH = Path("./") / "compile_wasm_log.txt"
+# NOTE(Harry): Set this to your binary-mlc-llm-libs repo.
+BINARY_DIR = "/path/to/binary-mlc-llm-libs/web-llm-models/v0_2_80"
+
+# -1. Clean log file
+cmd = [
+    "rm",
+    "-rf",
+    "./compile_wasm_log.txt",
+]
+print(" ".join(cmd), flush=True)
+subprocess.run(cmd, check=True, stderr=subprocess.STDOUT, env=os.environ)
+
+
+def compile(
+    model,
+    quantization,
+    context_window_size,
+    prefill_chunk_size,
+    model_id,
+    use_sliding_window=False,
+    max_batch_size=None,
+):
+    with LOG_PATH.open("a", encoding="utf-8") as log_file:
+        # 0. Clean temp folder
+        cmd = [
+            "rm",
+            "-rf",
+            "dist/temp/",
+        ]
+        print(" ".join(cmd), flush=True)
+        subprocess.run(cmd, check=True, stdout=log_file, stderr=subprocess.STDOUT, env=os.environ)
+
+        # 1. Gen config
+        cmd = [
+            sys.executable,
+            "-m",
+            "mlc_llm",
+            "gen_config",
+            model,
+            "--output",
+            "dist/temp",
+            "--conv-template",
+            "LM",
+            "--quantization",
+            quantization,
+            "--prefill-chunk-size",
+            str(prefill_chunk_size),
+        ]
+        if use_sliding_window:
+            cmd += [
+                "--sliding-window-size",
+                str(context_window_size),
+            ]
+        else:
+            cmd += [
+                "--context-window-size",
+                str(context_window_size),
+            ]
+        if max_batch_size:
+            cmd += [
+                "--max-batch-size",
+                str(max_batch_size),
+            ]
+        print(" ".join(cmd), flush=True)
+        subprocess.run(cmd, check=True, stdout=log_file, stderr=subprocess.STDOUT, env=os.environ)
+
+        # 2. compile
+
+        # 2.1. Get output wasm name
+        ctx = ""
+        if context_window_size == 4096:
+            ctx = "4k"
+        elif context_window_size == 2048:
+            ctx = "2k"
+        elif context_window_size == 1024:
+            ctx = "1k"
+        elif context_window_size == 512:
+            ctx = "512"
+        else:
+            raise RuntimeError(f"Unrecognized ctx: {ctx}")
+
+        cs = ""
+        if prefill_chunk_size == 4096:
+            cs = "4k"
+        elif prefill_chunk_size == 2048:
+            cs = "2k"
+        elif prefill_chunk_size == 1024:
+            cs = "1k"
+        elif prefill_chunk_size == 512:
+            cs = "512"
+        else:
+            raise RuntimeError(f"Unrecognized cs: {cs}")
+
+        # e.g. Llama-3-8B-Instruct-q4f16_1-ctx4k_cs1k-webgpu.wasm
+        if use_sliding_window:
+            output_file_name = f"{model_id}-{quantization}-sw{ctx}_cs{cs}"
+        else:
+            output_file_name = f"{model_id}-{quantization}-ctx{ctx}_cs{cs}"
+        if max_batch_size:
+            output_file_name += f"_batch{max_batch_size}"
+        output_file_name += "-webgpu.wasm"
+        output_path = os.path.join(BINARY_DIR, output_file_name)
+
+        # 2.2. Compile
+        cmd = [
+            sys.executable,
+            "-m",
+            "mlc_llm",
+            "compile",
+            "dist/temp/mlc-chat-config.json",
+            "--device",
+            "webgpu",
+            "--output",
+            output_path,
+        ]
+        print(" ".join(cmd), flush=True)
+        subprocess.run(cmd, check=True, stdout=log_file, stderr=subprocess.STDOUT, env=os.environ)
+
+        # 3. Clean temp mlc-chat-config.json
+        cmd = [
+            "rm",
+            "-rf",
+            "dist/temp/mlc-chat-config.json",
+        ]
+        print(" ".join(cmd), flush=True)
+        subprocess.run(cmd, check=True, stdout=log_file, stderr=subprocess.STDOUT, env=os.environ)
+
+
+# NOTE(Charlie): As of 03/31/2025, the context window size does not do anything because
+# it has become a runtime thing in both MLC-LLM and WebLLM.
+
+# NOTE(Harry): To compile a wasm, uncomment the corresponding line below.
+
+# compile("phi-3", "q4f16_1", 4096, 1024, "Phi-3-mini-4k-instruct")
+# compile("phi-3", "q4f16_1", 4096, 1024, "Phi-3-mini-4k-instruct-old")
+# compile("phi-3", "q4f32_1", 4096, 1024, "Phi-3-mini-4k-instruct")
+
+# compile("llama3_8b", "q4f16_1", 4096, 1024, "Llama-3-8B-Instruct")
+# compile("llama3_8b", "q4f32_1", 4096, 1024, "Llama-3-8B-Instruct")
+
+# compile("llama2_7b", "q4f16_1", 4096, 1024, "Llama-2-7b-chat-hf")
+# compile("llama2_7b", "q4f32_1", 4096, 1024, "Llama-2-7b-chat-hf")
+
+# compile("llama2_13b", "q4f16_1", 4096, 1024, "Llama-2-13b-chat-hf")
+
+# compile("mistral_7b_v03", "q4f16_1", 4096, 1024, "Mistral-7B-Instruct-v0.3")
+# compile("mistral_7b_v03", "q4f32_1", 4096, 1024, "Mistral-7B-Instruct-v0.3")
+
+# compile("redpajama_3b_v1", "q4f16_1", 2048, 1024, "RedPajama-INCITE-Chat-3B-v1")
+# compile("redpajama_3b_v1", "q4f32_1", 2048, 1024, "RedPajama-INCITE-Chat-3B-v1")
+
+# compile("tinyllama_1b_chat_v0.4", "q0f16", 2048, 1024, "TinyLlama-1.1B-Chat-v0.4")
+# compile("tinyllama_1b_chat_v0.4", "q0f32", 2048, 1024, "TinyLlama-1.1B-Chat-v0.4")
+# compile("tinyllama_1b_chat_v0.4", "q4f16_1", 2048, 1024, "TinyLlama-1.1B-Chat-v0.4")
+# compile("tinyllama_1b_chat_v0.4", "q4f32_1", 2048, 1024, "TinyLlama-1.1B-Chat-v0.4")
+
+# compile("tinyllama_1b_chat_v1.0", "q4f16_1", 2048, 1024, "TinyLlama-1.1B-Chat-v1.0")
+# compile("tinyllama_1b_chat_v1.0", "q4f32_1", 2048, 1024, "TinyLlama-1.1B-Chat-v1.0")
+
+# compile("gemma_2b", "q4f16_1", 4096, 1024, "gemma-2b-it")
+# compile("gemma_2b", "q4f32_1", 4096, 1024, "gemma-2b-it")
+
+# compile("gpt2_medium", "q0f16", 1024, 1024, "gpt2-medium")
+# compile("gpt2", "q0f16", 1024, 1024, "gpt2")
+
+# compile("phi-1_5", "q4f16_1", 2048, 1024, "phi-1_5")
+# compile("phi-1_5", "q4f32_1", 2048, 1024, "phi-1_5")
+
+# compile("phi-2", "q4f16_1", 2048, 1024, "phi-2")
+# compile("phi-2", "q4f32_1", 2048, 1024, "phi-2")
+
+# compile("stablelm-2-zephyr-1_6b", "q4f16_1", 4096, 1024, "stablelm-2-zephyr-1_6b")
+# compile("stablelm-2-zephyr-1_6b", "q4f32_1", 4096, 1024, "stablelm-2-zephyr-1_6b")
+
+# compile("qwen2_0_5b", "q4f16_1", 4096, 1024, "Qwen2-0.5B-Instruct")
+# compile("qwen2_0_5b", "q4f32_1", 4096, 1024, "Qwen2-0.5B-Instruct")
+# compile("qwen2_0_5b", "q0f16", 4096, 1024, "Qwen2-0.5B-Instruct")
+# compile("qwen2_0_5b", "q0f32", 4096, 1024, "Qwen2-0.5B-Instruct")
+
+# compile("qwen2_1_5b", "q4f16_1", 4096, 1024, "Qwen2-1.5B-Instruct")
+# compile("qwen2_1_5b", "q4f32_1", 4096, 1024, "Qwen2-1.5B-Instruct")
+
+# compile("qwen2.5_3b", "q4f16_1", 4096, 1024, "Qwen2.5-3B-Instruct")
+# compile("qwen2.5_3b", "q4f32_1", 4096, 1024, "Qwen2.5-3B-Instruct")
+
+# compile("qwen2_7b", "q4f16_1", 4096, 1024, "Qwen2-7B-Instruct")
+# compile("qwen2_7b", "q4f32_1", 4096, 1024, "Qwen2-7B-Instruct")
+
+# compile("llama3_70b", "q3f16_1", 4096, 1024, "Llama-3-70B-Instruct")
+
+# compile("llama3_1_8b", "q4f16_1", 4096, 1024, "Llama-3_1-8B-Instruct")
+# compile("llama3_1_8b", "q4f32_1", 4096, 1024, "Llama-3_1-8B-Instruct")
+
+# compile("llama3_1_70b", "q3f16_1", 4096, 1024, "Llama-3_1-70B-Instruct")
+
+# compile("gemma2_2b", "q4f16_1", 4096, 1024, "gemma-2-2b-it")
+# compile("gemma2_2b", "q4f32_1", 4096, 1024, "gemma-2-2b-it")
+
+# compile("gemma2_9b", "q4f16_1", 4096, 1024, "gemma-2-9b-it")
+# compile("gemma2_9b", "q4f32_1", 4096, 1024, "gemma-2-9b-it")
+
+# # max_position_embeddings is set to be 512 here for embedding model; no rope is used
+# compile(
+#     "snowflake-arctic-embed-m", "q0f32", 512, 512, "snowflake-arctic-embed-m", max_batch_size=32
+# )
+# compile("snowflake-arctic-embed-m", "q0f32", 512, 512, "snowflake-arctic-embed-m", max_batch_size=4)
+
+# compile(
+#     "snowflake-arctic-embed-s", "q0f32", 512, 512, "snowflake-arctic-embed-s", max_batch_size=32
+# )
+# compile("snowflake-arctic-embed-s", "q0f32", 512, 512, "snowflake-arctic-embed-s", max_batch_size=4)
+
+# # Cannot be shared with phi-3 because phi3.5 has rope scaling
+# compile("phi-3_5", "q4f16_1", 4096, 1024, "Phi-3.5-mini-instruct")
+# compile("phi-3_5", "q4f32_1", 4096, 1024, "Phi-3.5-mini-instruct")
+
+# compile("phi-3_5-vision", "q4f16_1", 4096, 2048, "Phi-3.5-vision-instruct")
+# compile("phi-3_5-vision", "q4f32_1", 4096, 2048, "Phi-3.5-vision-instruct")
+
+# # Llama3.2 1B/3B
+# compile("llama3_2_1b", "q0f16", 4096, 1024, "Llama-3.2-1B-Instruct")
+# compile("llama3_2_1b", "q0f32", 4096, 1024, "Llama-3.2-1B-Instruct")
+# compile("llama3_2_1b", "q4f16_1", 4096, 1024, "Llama-3.2-1B-Instruct")
+# compile("llama3_2_1b", "q4f32_1", 4096, 1024, "Llama-3.2-1B-Instruct")
+
+# compile("llama3_2_3b", "q4f16_1", 4096, 1024, "Llama-3.2-3B-Instruct")
+# compile("llama3_2_3b", "q4f32_1", 4096, 1024, "Llama-3.2-3B-Instruct")
+
+# compile("gemma2_2b-jpn", "q4f16_1", 4096, 1024, "gemma-2-2b-jpn-it")
+# compile("gemma2_2b-jpn", "q4f32_1", 4096, 1024, "gemma-2-2b-jpn-it")
+
+# compile("smollm2_1_7b", "q0f16", 4096, 1024, "SmolLM2-1.7B-Instruct")
+# compile("smollm2_1_7b", "q4f16_1", 4096, 1024, "SmolLM2-1.7B-Instruct")
+# compile("smollm2_1_7b", "q4f32_1", 4096, 1024, "SmolLM2-1.7B-Instruct")
+
+# compile("smollm2_360m", "q0f16", 4096, 1024, "SmolLM2-360M-Instruct")
+# compile("smollm2_360m", "q0f32", 4096, 1024, "SmolLM2-360M-Instruct")
+# compile("smollm2_360m", "q4f16_1", 4096, 1024, "SmolLM2-360M-Instruct")
+# compile("smollm2_360m", "q4f32_1", 4096, 1024, "SmolLM2-360M-Instruct")
+
+# compile("smollm2_135m", "q0f16", 4096, 1024, "SmolLM2-135M-Instruct")
+# compile("smollm2_135m", "q0f32", 4096, 1024, "SmolLM2-135M-Instruct")
+# compile("smollm2_135m", "q4f16_1", 4096, 1024, "SmolLM2-135M-Instruct")
+# compile("smollm2_135m", "q4f32_1", 4096, 1024, "SmolLM2-135M-Instruct")
+
+# compile("gemma3_1b_it", "q4f16_1", 4096, 1024, "gemma3-1b-it")
+
+
+# compile("qwen3_0.6b", "q4f16_1", 4096, 1024, "Qwen3-0.6B")
+# compile("qwen3_0.6b", "q4f32_1", 4096, 1024, "Qwen3-0.6B")
+# compile("qwen3_0.6b", "q0f16", 4096, 1024, "Qwen3-0.6B")
+# compile("qwen3_0.6b", "q0f32", 4096, 1024, "Qwen3-0.6B")
+
+# compile("qwen3_1.7b", "q4f16_1", 4096, 1024, "Qwen3-1.7B")
+# compile("qwen3_1.7b", "q4f32_1", 4096, 1024, "Qwen3-1.7B")
+
+# compile("qwen3_4b", "q4f16_1", 4096, 1024, "Qwen3-4B")
+# compile("qwen3_4b", "q4f32_1", 4096, 1024, "Qwen3-4B")
+
+# compile("qwen3_8b", "q4f16_1", 4096, 1024, "Qwen3-8B")
+# compile("qwen3_8b", "q4f32_1", 4096, 1024, "Qwen3-8B")
+
+# compile("qwen3_4b_instruct_2507", "q4f16_1", 4096, 1024, "Qwen3-4B-Instruct-2507")
+# compile("qwen3_4b_instruct_2507", "q4f32_1", 4096, 1024, "Qwen3-4B-Instruct-2507")
+
+# compile("qwen3_4b_thinking_2507", "q4f16_1", 4096, 1024, "Qwen3-4B-Thinking-2507")
+compile("qwen3_4b_thinking_2507", "q4f32_1", 4096, 1024, "Qwen3-4B-Thinking-2507")
+
diff --git a/web-llm-models/v0_2_80/gemma-2-2b-it-q4f16_1-ctx4k_cs1k-webgpu.wasm b/web-llm-models/v0_2_80/gemma-2-2b-it-q4f16_1-ctx4k_cs1k-webgpu.wasm
new file mode 100644
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