Merge branch 'main' into sami/flash

This commit is contained in:
Sami Khan
2026-01-15 08:57:36 +05:00
committed by GitHub
8 changed files with 538 additions and 33 deletions
+14 -3
View File
@@ -113,11 +113,22 @@ jobs:
uv python install
uv sync --locked
- name: Install Nix
uses: cachix/install-nix-action@v31
with:
nix_path: nixpkgs=channel:nixos-unstable
- name: Configure Cachix
uses: cachix/cachix-action@v14
with:
name: exo
authToken: "${{ secrets.CACHIX_AUTH_TOKEN }}"
- name: Build dashboard
run: |
cd dashboard
npm ci
npm run build
DASHBOARD_OUT=$(nix build .#dashboard --print-build-logs --no-link --print-out-paths)
mkdir -p dashboard/build
cp -r "$DASHBOARD_OUT"/* dashboard/build/
- name: Install Sparkle CLI
run: |
+60
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@@ -0,0 +1,60 @@
{ lib
, config
, dream2nix
, ...
}:
let
# Read and parse the lock file
rawLockFile = builtins.fromJSON (builtins.readFile "${config.deps.dashboardSrc}/package-lock.json");
# For packages with bundleDependencies, filter out deps that are bundled
# (bundled deps are inside the tarball, not separate lockfile entries)
fixedPackages = lib.mapAttrs
(path: entry:
if entry ? bundleDependencies && entry.bundleDependencies != [ ]
then entry // {
dependencies = lib.filterAttrs
(name: _: !(lib.elem name entry.bundleDependencies))
(entry.dependencies or { });
}
else entry
)
(rawLockFile.packages or { });
fixedLockFile = rawLockFile // { packages = fixedPackages; };
in
{
imports = [
dream2nix.modules.dream2nix.nodejs-package-lock-v3
dream2nix.modules.dream2nix.nodejs-granular-v3
];
name = "exo-dashboard";
version = "1.0.0";
mkDerivation = {
src = config.deps.dashboardSrc;
buildPhase = ''
runHook preBuild
npm run build
runHook postBuild
'';
installPhase = ''
runHook preInstall
cp -r build $out/build
runHook postInstall
'';
};
deps = { nixpkgs, ... }: {
inherit (nixpkgs) stdenv;
dashboardSrc = null; # Injected by parts.nix
};
nodejs-package-lock-v3 = {
# Don't use packageLockFile - provide the fixed lock content directly
packageLock = fixedLockFile;
};
}
+44
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@@ -0,0 +1,44 @@
{ inputs, ... }:
{
perSystem =
{ pkgs, lib, ... }:
let
# Filter source to only include dashboard directory
src = lib.cleanSourceWith {
src = inputs.self;
filter =
path: type:
let
baseName = builtins.baseNameOf path;
inDashboardDir =
(lib.hasInfix "/dashboard/" path)
|| (lib.hasSuffix "/dashboard" (builtins.dirOf path))
|| (baseName == "dashboard" && type == "directory");
in
inDashboardDir;
};
# Build the dashboard with dream2nix (includes node_modules in output)
dashboardFull = inputs.dream2nix.lib.evalModules {
packageSets.nixpkgs = pkgs;
modules = [
./dashboard.nix
{
paths.projectRoot = inputs.self;
paths.projectRootFile = "flake.nix";
paths.package = inputs.self + "/dashboard";
}
# Inject the filtered source
{
deps.dashboardSrc = lib.mkForce "${src}/dashboard";
}
];
};
in
{
# Extract just the static site from the full build
packages.dashboard = pkgs.runCommand "exo-dashboard" { } ''
cp -r ${dashboardFull}/build $out
'';
};
}
Generated
+121
View File
@@ -1,5 +1,42 @@
{
"nodes": {
"crane": {
"locked": {
"lastModified": 1767744144,
"narHash": "sha256-9/9ntI0D+HbN4G0TrK3KmHbTvwgswz7p8IEJsWyef8Q=",
"owner": "ipetkov",
"repo": "crane",
"rev": "2fb033290bf6b23f226d4c8b32f7f7a16b043d7e",
"type": "github"
},
"original": {
"owner": "ipetkov",
"repo": "crane",
"type": "github"
}
},
"dream2nix": {
"inputs": {
"nixpkgs": [
"nixpkgs"
],
"purescript-overlay": "purescript-overlay",
"pyproject-nix": "pyproject-nix"
},
"locked": {
"lastModified": 1765953015,
"narHash": "sha256-5FBZbbWR1Csp3Y2icfRkxMJw/a/5FGg8hCXej2//bbI=",
"owner": "nix-community",
"repo": "dream2nix",
"rev": "69eb01fa0995e1e90add49d8ca5bcba213b0416f",
"type": "github"
},
"original": {
"owner": "nix-community",
"repo": "dream2nix",
"type": "github"
}
},
"fenix": {
"inputs": {
"nixpkgs": [
@@ -21,6 +58,22 @@
"type": "github"
}
},
"flake-compat": {
"flake": false,
"locked": {
"lastModified": 1696426674,
"narHash": "sha256-kvjfFW7WAETZlt09AgDn1MrtKzP7t90Vf7vypd3OL1U=",
"owner": "edolstra",
"repo": "flake-compat",
"rev": "0f9255e01c2351cc7d116c072cb317785dd33b33",
"type": "github"
},
"original": {
"owner": "edolstra",
"repo": "flake-compat",
"type": "github"
}
},
"flake-parts": {
"inputs": {
"nixpkgs-lib": [
@@ -73,8 +126,54 @@
"type": "github"
}
},
"purescript-overlay": {
"inputs": {
"flake-compat": "flake-compat",
"nixpkgs": [
"dream2nix",
"nixpkgs"
],
"slimlock": "slimlock"
},
"locked": {
"lastModified": 1728546539,
"narHash": "sha256-Sws7w0tlnjD+Bjck1nv29NjC5DbL6nH5auL9Ex9Iz2A=",
"owner": "thomashoneyman",
"repo": "purescript-overlay",
"rev": "4ad4c15d07bd899d7346b331f377606631eb0ee4",
"type": "github"
},
"original": {
"owner": "thomashoneyman",
"repo": "purescript-overlay",
"type": "github"
}
},
"pyproject-nix": {
"inputs": {
"nixpkgs": [
"dream2nix",
"nixpkgs"
]
},
"locked": {
"lastModified": 1763017646,
"narHash": "sha256-Z+R2lveIp6Skn1VPH3taQIuMhABg1IizJd8oVdmdHsQ=",
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"rev": "47bd6f296502842643078d66128f7b5e5370790c",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"type": "github"
}
},
"root": {
"inputs": {
"crane": "crane",
"dream2nix": "dream2nix",
"fenix": "fenix",
"flake-parts": "flake-parts",
"nixpkgs": "nixpkgs",
@@ -99,6 +198,28 @@
"type": "github"
}
},
"slimlock": {
"inputs": {
"nixpkgs": [
"dream2nix",
"purescript-overlay",
"nixpkgs"
]
},
"locked": {
"lastModified": 1688756706,
"narHash": "sha256-xzkkMv3neJJJ89zo3o2ojp7nFeaZc2G0fYwNXNJRFlo=",
"owner": "thomashoneyman",
"repo": "slimlock",
"rev": "cf72723f59e2340d24881fd7bf61cb113b4c407c",
"type": "github"
},
"original": {
"owner": "thomashoneyman",
"repo": "slimlock",
"type": "github"
}
},
"treefmt-nix": {
"inputs": {
"nixpkgs": [
+24 -29
View File
@@ -9,6 +9,8 @@
inputs.nixpkgs-lib.follows = "nixpkgs";
};
crane.url = "github:ipetkov/crane";
fenix = {
url = "github:nix-community/fenix";
inputs.nixpkgs.follows = "nixpkgs";
@@ -19,6 +21,11 @@
inputs.nixpkgs.follows = "nixpkgs";
};
dream2nix = {
url = "github:nix-community/dream2nix";
inputs.nixpkgs.follows = "nixpkgs";
};
# Pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
nixpkgs-swift.url = "github:NixOS/nixpkgs/08dacfca559e1d7da38f3cf05f1f45ee9bfd213c";
};
@@ -39,10 +46,12 @@
imports = [
inputs.treefmt-nix.flakeModule
./dashboard/parts.nix
./rust/parts.nix
];
perSystem =
{ config, inputs', pkgs, lib, system, ... }:
{ config, self', inputs', pkgs, lib, system, ... }:
let
fenixToolchain = inputs'.fenix.packages.complete;
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
@@ -59,7 +68,7 @@
};
rustfmt = {
enable = true;
package = fenixToolchain.rustfmt;
package = config.rust.toolchain;
};
prettier = {
enable = true;
@@ -79,6 +88,8 @@
'';
devShells.default = with pkgs; pkgs.mkShell {
inputsFrom = [ self'.checks.cargo-build ];
packages =
[
# FORMATTING
@@ -91,14 +102,8 @@
basedpyright
# RUST
(fenixToolchain.withComponents [
"cargo"
"rustc"
"clippy"
"rustfmt"
"rust-src"
])
rustup # Just here to make RustRover happy
config.rust.toolchain
maturin
# NIX
nixpkgs-fmt
@@ -110,30 +115,20 @@
just
jq
]
++ (pkgs.lib.optionals pkgs.stdenv.isLinux [
# IFCONFIG
++ lib.optionals stdenv.isLinux [
unixtools.ifconfig
# Build dependencies for Linux
pkg-config
openssl
])
++ (pkgs.lib.optionals pkgs.stdenv.isDarwin [
# MACMON
]
++ lib.optionals stdenv.isDarwin [
macmon
]);
];
OPENSSL_NO_VENDOR = "1";
shellHook = ''
# PYTHON
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${pkgs.python313}/lib"
${lib.optionalString pkgs.stdenv.isLinux ''
# Build environment for Linux
export PKG_CONFIG_PATH="${pkgs.openssl.dev}/lib/pkgconfig:$PKG_CONFIG_PATH"
export LD_LIBRARY_PATH="${pkgs.openssl.out}/lib:$LD_LIBRARY_PATH"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${python313}/lib"
${lib.optionalString stdenv.isLinux ''
export LD_LIBRARY_PATH="${openssl.out}/lib:$LD_LIBRARY_PATH"
''}
echo
echo "🍎🍎 Run 'just <recipe>' to get started"
just --list
'';
};
};
+159
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@@ -0,0 +1,159 @@
{ inputs, ... }:
{
perSystem =
{ config, self', inputs', pkgs, lib, ... }:
let
# Fenix nightly toolchain with all components
fenixPkgs = inputs'.fenix.packages;
rustToolchain = fenixPkgs.complete.withComponents [
"cargo"
"rustc"
"clippy"
"rustfmt"
"rust-src"
"rust-analyzer"
];
# Crane with fenix toolchain
craneLib = (inputs.crane.mkLib pkgs).overrideToolchain rustToolchain;
# Source filtering - only include rust/ directory and root Cargo files
# This ensures changes to Python/docs/etc don't trigger Rust rebuilds
src = lib.cleanSourceWith {
src = inputs.self;
filter =
path: type:
let
baseName = builtins.baseNameOf path;
parentDir = builtins.dirOf path;
inRustDir =
(lib.hasInfix "/rust/" path)
|| (lib.hasSuffix "/rust" parentDir)
|| (baseName == "rust" && type == "directory");
isRootCargoFile =
(baseName == "Cargo.toml" || baseName == "Cargo.lock")
&& (builtins.dirOf path == toString inputs.self);
in
isRootCargoFile
|| (inRustDir && (craneLib.filterCargoSources path type || lib.hasSuffix ".toml" path || lib.hasSuffix ".md" path));
};
# Common arguments for all Rust builds
commonArgs = {
inherit src;
pname = "exo-rust";
version = "0.0.1";
strictDeps = true;
nativeBuildInputs = [
pkgs.pkg-config
pkgs.python313 # Required for pyo3-build-config
];
buildInputs = [
pkgs.openssl
pkgs.python313 # Required for pyo3 tests
];
OPENSSL_NO_VENDOR = "1";
# Required for pyo3 tests to find libpython
LD_LIBRARY_PATH = lib.makeLibraryPath [ pkgs.python313 ];
};
# Build dependencies once for caching
cargoArtifacts = craneLib.buildDepsOnly (
commonArgs
// {
cargoExtraArgs = "--workspace";
}
);
in
{
# Export toolchain for use in treefmt and devShell
options.rust = {
toolchain = lib.mkOption {
type = lib.types.package;
default = rustToolchain;
description = "The Rust toolchain to use";
};
};
config = {
packages = {
# The system_custodian binary
system_custodian = craneLib.buildPackage (
commonArgs
// {
inherit cargoArtifacts;
cargoExtraArgs = "-p system_custodian";
meta = {
description = "System custodian daemon for exo";
mainProgram = "system_custodian";
};
}
);
# Python bindings wheel via maturin
exo_pyo3_bindings = craneLib.buildPackage (
commonArgs
// {
inherit cargoArtifacts;
pname = "exo_pyo3_bindings";
nativeBuildInputs = commonArgs.nativeBuildInputs ++ [
pkgs.maturin
];
buildPhaseCargoCommand = ''
maturin build \
--release \
--manylinux off \
--manifest-path rust/exo_pyo3_bindings/Cargo.toml \
--features "pyo3/extension-module,pyo3/experimental-async" \
--interpreter ${pkgs.python313}/bin/python \
--out dist
'';
# Don't use crane's default install behavior
doNotPostBuildInstallCargoBinaries = true;
installPhaseCommand = ''
mkdir -p $out
cp dist/*.whl $out/
'';
}
);
};
checks = {
# Full workspace build (all crates)
cargo-build = craneLib.buildPackage (
commonArgs
// {
inherit cargoArtifacts;
cargoExtraArgs = "--workspace";
}
);
# Run tests with nextest
cargo-nextest = craneLib.cargoNextest (
commonArgs
// {
inherit cargoArtifacts;
cargoExtraArgs = "--workspace";
}
);
# Build documentation
cargo-doc = craneLib.cargoDoc (
commonArgs
// {
inherit cargoArtifacts;
cargoExtraArgs = "--workspace";
}
);
};
};
};
}
+77
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@@ -82,6 +82,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
# storage_size=Memory.from_kb(754706307),
# n_layers=61,
# hidden_size=7168,
# supports_tensor=True,
# ),
# ),
# "deepseek-v3.2-4bit": ModelCard(
@@ -96,6 +97,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
# storage_size=Memory.from_kb(754706307 // 2), # TODO !!!!!
# n_layers=61,
# hidden_size=7168,
# supports_tensor=True,
# ),
# ),
# deepseek r1
@@ -554,6 +556,81 @@ MODEL_CARDS: dict[str, ModelCard] = {
supports_tensor=True,
),
),
"glm-4.7-4bit": ModelCard(
short_id="glm-4.7-4bit",
model_id=ModelId("mlx-community/GLM-4.7-4bit"),
name="GLM 4.7 4bit",
description="GLM 4.7 4bit",
tags=[],
metadata=ModelMetadata(
model_id=ModelId("mlx-community/GLM-4.7-4bit"),
pretty_name="GLM 4.7 4bit",
storage_size=Memory.from_bytes(198556925568),
n_layers=91,
hidden_size=5120,
supports_tensor=True,
),
),
"glm-4.7-6bit": ModelCard(
short_id="glm-4.7-6bit",
model_id=ModelId("mlx-community/GLM-4.7-6bit"),
name="GLM 4.7 6bit",
description="GLM 4.7 6bit",
tags=[],
metadata=ModelMetadata(
model_id=ModelId("mlx-community/GLM-4.7-6bit"),
pretty_name="GLM 4.7 6bit",
storage_size=Memory.from_bytes(286737579648),
n_layers=91,
hidden_size=5120,
supports_tensor=True,
),
),
"glm-4.7-8bit-gs32": ModelCard(
short_id="glm-4.7-8bit-gs32",
model_id=ModelId("mlx-community/GLM-4.7-8bit-gs32"),
name="GLM 4.7 8bit (gs32)",
description="GLM 4.7 8bit (gs32)",
tags=[],
metadata=ModelMetadata(
model_id=ModelId("mlx-community/GLM-4.7-8bit-gs32"),
pretty_name="GLM 4.7 8bit (gs32)",
storage_size=Memory.from_bytes(396963397248),
n_layers=91,
hidden_size=5120,
supports_tensor=True,
),
),
"minimax-m2.1-8bit": ModelCard(
short_id="minimax-m2.1-8bit",
model_id=ModelId("mlx-community/MiniMax-M2.1-8bit"),
name="MiniMax M2.1 8bit",
description="MiniMax M2.1 8bit",
tags=[],
metadata=ModelMetadata(
model_id=ModelId("mlx-community/MiniMax-M2.1-8bit"),
pretty_name="MiniMax M2.1 8bit",
storage_size=Memory.from_bytes(242986745856),
n_layers=61,
hidden_size=3072,
supports_tensor=True,
),
),
"minimax-m2.1-3bit": ModelCard(
short_id="minimax-m2.1-3bit",
model_id=ModelId("mlx-community/MiniMax-M2.1-3bit"),
name="MiniMax M2.1 3bit",
description="MiniMax M2.1 3bit",
tags=[],
metadata=ModelMetadata(
model_id=ModelId("mlx-community/MiniMax-M2.1-3bit"),
pretty_name="MiniMax M2.1 3bit",
storage_size=Memory.from_bytes(100086644736),
n_layers=61,
hidden_size=3072,
supports_tensor=True,
),
),
# "devstral-2-123b-instruct-2512-8bit": ModelCard(
# short_id="devstral-2-123b-instruct-2512-8bit",
# model_id=ModelId("mlx-community/Devstral-2-123B-Instruct-2512-8bit"),
+39 -1
View File
@@ -19,6 +19,7 @@ from mlx_lm.models.glm4_moe import MoE
from mlx_lm.models.gpt_oss import GptOssMoeModel
from mlx_lm.models.gpt_oss import Model as GptOssModel
from mlx_lm.models.llama import Model as LlamaModel
from mlx_lm.models.minimax import Model as MiniMaxModel
from mlx_lm.models.ministral3 import Model as Ministral3Model
from mlx_lm.models.qwen3_moe import Model as Qwen3MoeModel
from mlx_lm.models.qwen3_moe import Qwen3MoeSparseMoeBlock
@@ -252,6 +253,14 @@ def tensor_auto_parallel(
all_to_sharded_linear_in_place,
sharded_to_all_linear_in_place,
)
elif isinstance(model, MiniMaxModel):
tensor_parallel_sharding_strategy = MiniMaxShardingStrategy(
group,
all_to_sharded_linear,
sharded_to_all_linear,
all_to_sharded_linear_in_place,
sharded_to_all_linear_in_place,
)
elif isinstance(model, (Qwen3MoeModel, Glm4MoeModel, Qwen3NextModel)):
tensor_parallel_sharding_strategy = QwenShardingStrategy(
group,
@@ -394,6 +403,35 @@ class ShardedDeepseekV3MoE(CustomMlxLayer):
return y
class MiniMaxShardingStrategy(TensorParallelShardingStrategy):
def shard_model(self, model: nn.Module) -> nn.Module:
model = cast(MiniMaxModel, model)
for layer in model.layers:
# Shard the self attention
layer.self_attn.q_proj = self.all_to_sharded_linear(layer.self_attn.q_proj)
layer.self_attn.k_proj = self.all_to_sharded_linear(layer.self_attn.k_proj)
layer.self_attn.v_proj = self.all_to_sharded_linear(layer.self_attn.v_proj)
layer.self_attn.o_proj = self.sharded_to_all_linear(layer.self_attn.o_proj)
layer.self_attn.num_attention_heads //= self.N
layer.self_attn.num_key_value_heads //= self.N
# Shard the MoE. Shard in place since the MoE should be responsible
# for aggregating the results.
self.all_to_sharded_linear_in_place(
layer.block_sparse_moe.switch_mlp.gate_proj
)
self.sharded_to_all_linear_in_place(
layer.block_sparse_moe.switch_mlp.down_proj
)
self.all_to_sharded_linear_in_place(
layer.block_sparse_moe.switch_mlp.up_proj
)
layer.block_sparse_moe = ShardedQwenMoE(layer.block_sparse_moe) # pyright: ignore[reportAttributeAccessIssue, reportArgumentType]
layer.block_sparse_moe.sharding_group = self.group
return model
class QwenShardingStrategy(TensorParallelShardingStrategy):
def shard_model(self, model: nn.Module) -> nn.Module:
model = cast(Qwen3MoeModel, model)
@@ -414,7 +452,7 @@ class QwenShardingStrategy(TensorParallelShardingStrategy):
self.all_to_sharded_linear_in_place(layer.mlp.switch_mlp.gate_proj)
self.sharded_to_all_linear_in_place(layer.mlp.switch_mlp.down_proj)
self.all_to_sharded_linear_in_place(layer.mlp.switch_mlp.up_proj)
layer.mlp = ShardedQwenMoE(layer.mlp) # type: ignore
layer.mlp = ShardedQwenMoE(layer.mlp) # pyright: ignore[reportAttributeAccessIssue, reportArgumentType]
layer.mlp.sharding_group = self.group
# Shard the MLP