Radix/examples/MODULE.bazel

module(name = "examples")

bazel_dep(name = "bazel_skylib", version = "1.7.1")
bazel_dep(name = "rules_zig", version = "20240913.0-1957d05")
bazel_dep(name = "platforms", version = "0.0.10")
bazel_dep(name = "zml", version = "0.1.0")
bazel_dep(name = "aspect_bazel_lib", version = "2.9.3")
bazel_dep(name = "rules_oci", version = "2.0.0")

oci = use_extension("@rules_oci//oci:extensions.bzl", "oci")
oci.pull(
    name = "distroless_cc_debian12",
    digest = "sha256:1850aee2ff72864350058d83d681c757d45c885986d15fcca7309b9e5c69f39a",
    image = "gcr.io/distroless/cc-debian12",
    platforms = [
        "linux/amd64",
    ],
)
use_repo(oci, "distroless_cc_debian12", "distroless_cc_debian12_linux_amd64")
oci.pull(
    name = "distroless_cc_debian12_debug",
    digest = "sha256:ae6f470336acbf2aeffea3db70ec0e74d69bee7270cdb5fa2f28fe840fad57fe",
    image = "gcr.io/distroless/cc-debian12",
    platforms = [
        "linux/amd64",
    ],
)
use_repo(oci, "distroless_cc_debian12_debug", "distroless_cc_debian12_debug_linux_amd64")

# Mnist weights
http_file = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")

http_file(
    name = "com_github_ggerganov_ggml_mnist",
    downloaded_file_path = "mnist.pt",
    sha256 = "d8a25252e28915e147720c19223721f0f53e3317493727ca754a2dd672450ba9",
    url = "https://github.com/ggerganov/ggml/raw/18703ad600cc68dbdb04d57434c876989a841d12/examples/mnist/models/mnist/mnist_model.state_dict",
)

http_file(
    name = "com_github_ggerganov_ggml_mnist_data",
    downloaded_file_path = "mnist.ylc",
    sha256 = "0fa7898d509279e482958e8ce81c8e77db3f2f8254e26661ceb7762c4d494ce7",
    url = "https://github.com/ggerganov/ggml/raw/18703ad600cc68dbdb04d57434c876989a841d12/examples/mnist/models/mnist/t10k-images.idx3-ubyte",
)

# Llama weights
huggingface = use_extension("@zml//bazel:huggingface.bzl", "huggingface")
huggingface.model(
    name = "Karpathy-TinyLlama-Stories",
    build_file_content = """\
load("@bazel_skylib//rules:copy_file.bzl", "copy_file")

# leverage copy_file to rename tokenizer extension
# which allow zml.aio.detectFormatAndLoadTokenizer
# to leverage the right tokenizer
copy_file(
    name = "stories15M",
    src = "stories15M.bin",
    out = "stories15M.tinyllama",
    allow_symlink = True,
    visibility = ["//visibility:public"],
)

copy_file(
    name = "stories110M",
    src = "stories110M.bin",
    out = "stories110M.tinyllama",
    allow_symlink = True,
    visibility = ["//visibility:public"],
)
""",
    commit = "0bd21da7698eaf29a0d7de3992de8a46ef624add",
    includes = [
        "stories15M.bin",
        "stories110M.bin",
    ],
    model = "karpathy/tinyllamas",
)
use_repo(huggingface, "Karpathy-TinyLlama-Stories")

http_file(
    name = "Karpathy-TinyLlama-Tokenizer",
    downloaded_file_path = "stories260K.tinyllama",
    sha256 = "50a52ef822ee9e83de5ce9d0be0a025a773d019437f58b5ff9dcafb063ece361",
    url = "https://github.com/karpathy/llama2.c/raw/c02865df300f3bd9e567ce061000dc23bf785a17/tokenizer.bin",
)

huggingface.model(
    name = "Meta-Llama-3.1-8B-Instruct",
    build_file_content = """\
package(default_visibility = ["//visibility:public"])
filegroup(
    name = "model",
    srcs = glob(["*.safetensors"]) + ["model.safetensors.index.json"],
)

filegroup(
    name = "tokenizer",
    srcs = ["tokenizer.json"],
)
""",
    commit = "5206a32e0bd3067aef1ce90f5528ade7d866253f",
    includes = [
        "*.safetensors",
        "model.safetensors.index.json",
        "tokenizer.json",
    ],
    model = "meta-llama/Meta-Llama-3.1-8B-Instruct",
)
use_repo(huggingface, "Meta-Llama-3.1-8B-Instruct")
huggingface.model(
    name = "Meta-Llama-3.1-70B-Instruct",
    build_file_content = """\
package(default_visibility = ["//visibility:public"])
filegroup(
    name = "model",
    srcs = glob(["*.safetensors"]) + ["model.safetensors.index.json"],
)

filegroup(
    name = "tokenizer",
    srcs = ["tokenizer.json"],
)
""",
    commit = "945c8663693130f8be2ee66210e062158b2a9693",
    includes = [
        "*.safetensors",
        "model.safetensors.index.json",
        "tokenizer.json",
    ],
    model = "meta-llama/Meta-Llama-3.1-70B-Instruct",
)
use_repo(huggingface, "Meta-Llama-3.1-70B-Instruct")
huggingface.model(
    name = "TinyLlama-1.1B-Chat-v1.0",
    build_file_content = """\
package(default_visibility = ["//visibility:public"])

filegroup(
    name = "model",
    srcs = ["model.safetensors"],
)

filegroup(
    name = "tokenizer",
    srcs = ["tokenizer.model"],
)
""",
    commit = "fe8a4ea1ffedaf415f4da2f062534de366a451e6",
    includes = [
        "model.safetensors",
        "tokenizer.model",
    ],
    model = "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
)
use_repo(huggingface, "TinyLlama-1.1B-Chat-v1.0")
huggingface.model(
    name = "OpenLM-Research-OpenLLaMA-3B",
    build_file_content = """\
load("@bazel_skylib//rules:copy_file.bzl", "copy_file")

package(default_visibility = ["//visibility:public"])

filegroup(
    name = "model",
    srcs = ["model.safetensors"],
)

filegroup(
    name = "tokenizer",
    srcs = [":tokenizer_pb"],
)

# leverage copy_file to rename tokenizer extension
# which allow zml.aio.detectFormatAndLoadTokenizer
# to leverage the right tokenizer
copy_file(
    name = "tokenizer_pb",
    src = "tokenizer.model",
    out = "tokenizer.pb",
    allow_symlink = True,
)
""",
    commit = "fcc2e809eb8f14dabba84d76a0ddc17b8ea05356",
    includes = [
        "model.safetensors",
        "tokenizer.model",
    ],
    model = "openlm-research/open_llama_3b",
)
use_repo(huggingface, "OpenLM-Research-OpenLLaMA-3B")