Revert "Fix kv prefix cache (#1262)"

This reverts commit cd8c01b7c8.

MISSED_THINGS.md

@@ -5,18 +5,18 @@
 [X] Fetching download status of all models on start
 [X] Deduplication of tasks in plan_step.
 [X] resolve_allow_patterns should just be wildcard now.
-[X] no mx_barrier in genreate.py mlx_generate at the end.
+[] no mx_barrier in genreate.py mlx_generate at the end.
 [] cache assertion not needed in auto_parallel.py PipelineLastLayer.
-[X] GPTOSS support dropped in auto_parallel.py.
-[X] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
-[X] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
-[X] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
+[] GPTOSS support dropped in auto_parallel.py.
+[] sharding changed "all-to-sharded" became _all_to_sharded in auto_parallel.py.
+[] same as above with "sharded-to-all" became _sharded_to_all in auto_parallel.py.
+[] Dropped support for Ministral3Model, DeepseekV32Model, Glm4MoeModel, Qwen3NextModel, GptOssMode in auto_parallel.py.
 [] Dropped prefill/decode code in auto_parallel.py and utils_mlx.py.
 [X] KV_CACHE_BITS should be None to disable quantized KV cache.
-[X] Dropped _set_nofile_limit in utils_mlx.py.
-[X] We have group optional in load_mlx_items in utils_mlx.py.
+[] Dropped _set_nofile_limit in utils_mlx.py.
+[] We have group optional in load_mlx_items in utils_mlx.py.
 [] Dropped add_missing_chat_templates for GptOss in load_mlx_items in utils_mlx.py.
-[X] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
+[] Dropped model.make_cache in make_kv_cache in utils_mlx.py.
 [X] We put cache limit back in utils_mlx.py.
 [] topology.py remove_node removes the connections after checking if node is is in self._node_id_to_rx_id_map. on beta_1 it checks after, so would remove stale connections I guess?
 [] Missing Glm 4.7 model cards (this isn't ready yet but should be picked up, probably create an issue... the blocker is transforemrs version doesn't support the tokenizer for Glm 4.7. rc-1 does but we can't upgrade as it breaks other things.)

app/EXO/EXO/Services/NetworkSetupHelper.swift

@@ -18,6 +18,9 @@ enum NetworkSetupHelper {
 
         set -euo pipefail
 
+        # Wait for macOS to finish network setup after boot
+        sleep 30
+
         PREFS="/Library/Preferences/SystemConfiguration/preferences.plist"
 
         # Remove bridge0 interface
@@ -31,6 +34,35 @@ enum NetworkSetupHelper {
         # Remove Thunderbolt Bridge from VirtualNetworkInterfaces in preferences.plist
         /usr/libexec/PlistBuddy -c "Delete :VirtualNetworkInterfaces:Bridge:bridge0" "$PREFS" 2>/dev/null || true
 
+        networksetup -listlocations | grep -q exo || {
+          networksetup -createlocation exo
+        }
+
+        networksetup -switchtolocation exo
+        networksetup -listallhardwareports \\
+          | awk -F': ' '/Hardware Port: / {print $2}' \\
+          | while IFS=":" read -r name; do
+              case "$name" in
+                "Ethernet Adapter"*)
+                        ;;
+                "Thunderbolt Bridge")
+                        ;;
+                "Thunderbolt "*)
+                  networksetup -listallnetworkservices \\
+                    | grep -q "EXO $name" \\
+                      || networksetup -createnetworkservice "EXO $name" "$name" 2>/dev/null \\
+                      || continue
+                  networksetup -setdhcp "EXO $name"
+                        ;;
+                *)
+                  networksetup -listallnetworkservices \\
+                    | grep -q "$name" \\
+                      || networksetup -createnetworkservice "$name" "$name" 2>/dev/null \\
+                      || continue
+                        ;;
+              esac
+            done
+
         networksetup -listnetworkservices | grep -q "Thunderbolt Bridge" && {
           networksetup -setnetworkserviceenabled "Thunderbolt Bridge" off
         } || true
@@ -51,7 +83,7 @@ enum NetworkSetupHelper {
                 let alert = NSAlert()
                 alert.messageText = "EXO Network Configuration"
                 alert.informativeText =
-                    "EXO needs to install a system service to automatically disable Thunderbolt Bridge on startup. This prevents network loops when connecting multiple Macs via Thunderbolt.\n\nYou will be prompted for your administrator password."
+                    "EXO needs to install a system service to configure local networking. This will disable Thunderbolt Bridge (preventing packet storms) and install a Network Location.\n\nYou will be prompted for your password."
                 alert.alertStyle = .informational
                 alert.addButton(withTitle: "Install")
                 alert.addButton(withTitle: "Not Now")

dashboard/parts.nix

@@ -3,12 +3,28 @@
   perSystem =
     { pkgs, lib, ... }:
     let
+      # Filter source to ONLY include package.json and package-lock.json
+      # This ensures prettier-svelte only rebuilds when lockfiles change
+      dashboardLockfileSrc = lib.cleanSourceWith {
+        src = inputs.self;
+        filter =
+          path: type:
+          let
+            baseName = builtins.baseNameOf path;
+            isDashboardDir = baseName == "dashboard" && type == "directory";
+            isPackageFile =
+              (lib.hasInfix "/dashboard/" path || lib.hasSuffix "/dashboard" (builtins.dirOf path))
+              && (baseName == "package.json" || baseName == "package-lock.json");
+          in
+          isDashboardDir || isPackageFile;
+      };
+
       # Stub source with lockfiles and minimal files for build to succeed
       # This allows prettier-svelte to avoid rebuilding when dashboard source changes
       dashboardStubSrc = pkgs.runCommand "dashboard-stub-src" { } ''
         mkdir -p $out
-        cp ${inputs.self}/dashboard/package.json $out/
-        cp ${inputs.self}/dashboard/package-lock.json $out/
+        cp ${dashboardLockfileSrc}/dashboard/package.json $out/
+        cp ${dashboardLockfileSrc}/dashboard/package-lock.json $out/
         # Minimal files so vite build succeeds (produces empty output)
         echo '<!DOCTYPE html><html><head></head><body></body></html>' > $out/index.html
         mkdir -p $out/src

dashboard/src/lib/components/ChatForm.svelte

@@ -12,7 +12,6 @@
     ttftMs,
     tps,
     totalTokens,
-    cancelRequest,
   } from "$lib/stores/app.svelte";
   import ChatAttachments from "./ChatAttachments.svelte";
   import ImageParamsPanel from "./ImageParamsPanel.svelte";
@@ -606,15 +605,37 @@
         style="min-height: 28px; max-height: 150px;"
       ></textarea>
 
-      {#if loading}
-        <button
-          type="button"
-          onclick={() => cancelRequest()}
-          class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap bg-exo-medium-gray/50 text-exo-light-gray border border-exo-medium-gray/50 hover:border-red-500/50 hover:text-red-400 cursor-pointer"
-        >
+      <button
+        type="submit"
+        disabled={!canSend || loading || isEditOnlyWithoutImage}
+        class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
+					{!canSend || loading || isEditOnlyWithoutImage
+          ? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
+          : 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
+        aria-label={shouldShowEditMode
+          ? "Edit image"
+          : isImageModel()
+            ? "Generate image"
+            : "Send message"}
+      >
+        {#if loading}
           <span class="inline-flex items-center gap-1 sm:gap-2">
+            <span
+              class="w-2.5 h-2.5 sm:w-3 sm:h-3 border-2 border-current border-t-transparent rounded-full animate-spin"
+            ></span>
+            <span class="hidden sm:inline"
+              >{shouldShowEditMode
+                ? "EDITING"
+                : isImageModel()
+                  ? "GENERATING"
+                  : "PROCESSING"}</span
+            >
+            <span class="sm:hidden">...</span>
+          </span>
+        {:else if shouldShowEditMode}
+          <span class="inline-flex items-center gap-1.5">
             <svg
-              class="w-3 h-3"
+              class="w-3.5 h-3.5"
               fill="none"
               viewBox="0 0 24 24"
               stroke="currentColor"
@@ -623,81 +644,47 @@
               <path
                 stroke-linecap="round"
                 stroke-linejoin="round"
-                d="M6 18L18 6M6 6l12 12"
+                d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
               />
             </svg>
-            <span class="hidden sm:inline">CANCEL</span>
-            <span class="sm:hidden">X</span>
+            <span>EDIT</span>
           </span>
-        </button>
-      {:else}
-        <button
-          type="submit"
-          disabled={!canSend || isEditOnlyWithoutImage}
-          class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
-            {!canSend || isEditOnlyWithoutImage
-            ? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
-            : 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
-          aria-label={shouldShowEditMode
-            ? "Edit image"
-            : isImageModel()
-              ? "Generate image"
-              : "Send message"}
-        >
-          {#if shouldShowEditMode}
-            <span class="inline-flex items-center gap-1.5">
-              <svg
-                class="w-3.5 h-3.5"
-                fill="none"
-                viewBox="0 0 24 24"
-                stroke="currentColor"
-                stroke-width="2"
-              >
-                <path
-                  stroke-linecap="round"
-                  stroke-linejoin="round"
-                  d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
-                />
-              </svg>
-              <span>EDIT</span>
-            </span>
-          {:else if isEditOnlyWithoutImage}
-            <span class="inline-flex items-center gap-1.5">
-              <svg
-                class="w-3.5 h-3.5"
-                fill="none"
-                viewBox="0 0 24 24"
-                stroke="currentColor"
-                stroke-width="2"
-              >
-                <path
-                  stroke-linecap="round"
-                  stroke-linejoin="round"
-                  d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
-                />
-              </svg>
-              <span>EDIT</span>
-            </span>
-          {:else if isImageModel()}
-            <span class="inline-flex items-center gap-1.5">
-              <svg
-                class="w-3.5 h-3.5"
-                fill="none"
-                viewBox="0 0 24 24"
-                stroke="currentColor"
-                stroke-width="2"
-              >
-                <rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
-                <circle cx="8.5" cy="8.5" r="1.5" />
-                <polyline points="21 15 16 10 5 21" />
-              </svg>
-              <span>GENERATE</span>
-            </span>
-          {:else}
-            SEND
-          {/if}
-        </button>
-      {/if}
+        {:else if isEditOnlyWithoutImage}
+          <span class="inline-flex items-center gap-1.5">
+            <svg
+              class="w-3.5 h-3.5"
+              fill="none"
+              viewBox="0 0 24 24"
+              stroke="currentColor"
+              stroke-width="2"
+            >
+              <path
+                stroke-linecap="round"
+                stroke-linejoin="round"
+                d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
+              />
+            </svg>
+            <span>EDIT</span>
+          </span>
+        {:else if isImageModel()}
+          <span class="inline-flex items-center gap-1.5">
+            <svg
+              class="w-3.5 h-3.5"
+              fill="none"
+              viewBox="0 0 24 24"
+              stroke="currentColor"
+              stroke-width="2"
+            >
+              <rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
+              <circle cx="8.5" cy="8.5" r="1.5" />
+              <polyline points="21 15 16 10 5 21" />
+            </svg>
+            <span>GENERATE</span>
+          </span>
+        {:else}
+          SEND
+        {/if}
+      </button>
     </div>
 
     <!-- Bottom accent line -->

dashboard/src/lib/stores/app.svelte.ts

@@ -464,7 +464,6 @@ class AppStore {
   private previewsInterval: ReturnType<typeof setInterval> | null = null;
   private lastConversationPersistTs = 0;
   private previousNodeIds: Set<string> = new Set();
-  private activeAbortController: AbortController | null = null;
 
   constructor() {
     if (browser) {
@@ -1747,9 +1746,6 @@ class AppStore {
     const targetConversationId = this.activeConversationId;
     if (!targetConversationId) return;
 
-    this.activeAbortController = new AbortController();
-    const signal = this.activeAbortController.signal;
-
     this.isLoading = true;
     this.currentResponse = "";
     this.ttftMs = null;
@@ -1884,7 +1880,6 @@ class AppStore {
           temperature: 0.7,
           stream: true,
         }),
-        signal,
       });
 
       if (!response.ok) {
@@ -1980,9 +1975,6 @@ class AppStore {
         this.persistConversation(targetConversationId);
       }
     } catch (error) {
-      if (signal.aborted) {
-        return;
-      }
       console.error("Error sending message:", error);
       this.handleStreamingError(
         error,
@@ -1991,7 +1983,6 @@ class AppStore {
         "Failed to get response",
       );
     } finally {
-      this.activeAbortController = null;
       this.isLoading = false;
       this.currentResponse = "";
       this.saveConversationsToStorage();
@@ -2012,9 +2003,6 @@ class AppStore {
     const targetConversationId = this.activeConversationId;
     if (!targetConversationId) return;
 
-    this.activeAbortController = new AbortController();
-    const signal = this.activeAbortController.signal;
-
     this.isLoading = true;
     this.currentResponse = "";
 
@@ -2100,7 +2088,6 @@ class AppStore {
           "Content-Type": "application/json",
         },
         body: JSON.stringify(requestBody),
-        signal,
       });
 
       if (!response.ok) {
@@ -2210,19 +2197,6 @@ class AppStore {
         },
       );
     } catch (error) {
-      if (signal.aborted) {
-        // Clean up the "Generating image..." message on cancellation
-        this.updateConversationMessage(
-          targetConversationId,
-          assistantMessage.id,
-          (msg) => {
-            msg.content = "Cancelled";
-            msg.attachments = [];
-          },
-        );
-        this.syncActiveMessagesIfNeeded(targetConversationId);
-        return;
-      }
       console.error("Error generating image:", error);
       this.handleStreamingError(
         error,
@@ -2231,7 +2205,6 @@ class AppStore {
         "Failed to generate image",
       );
     } finally {
-      this.activeAbortController = null;
       this.isLoading = false;
       this.saveConversationsToStorage();
     }
@@ -2255,9 +2228,6 @@ class AppStore {
     const targetConversationId = this.activeConversationId;
     if (!targetConversationId) return;
 
-    this.activeAbortController = new AbortController();
-    const signal = this.activeAbortController.signal;
-
     this.isLoading = true;
     this.currentResponse = "";
 
@@ -2366,7 +2336,6 @@ class AppStore {
       const apiResponse = await fetch("/v1/images/edits", {
         method: "POST",
         body: formData,
-        signal,
       });
 
       if (!apiResponse.ok) {
@@ -2438,19 +2407,6 @@ class AppStore {
         },
       );
     } catch (error) {
-      if (signal.aborted) {
-        // Clean up the "Editing image..." message on cancellation
-        this.updateConversationMessage(
-          targetConversationId,
-          assistantMessage.id,
-          (msg) => {
-            msg.content = "cancelled";
-            msg.attachments = [];
-          },
-        );
-        this.syncActiveMessagesIfNeeded(targetConversationId);
-        return;
-      }
       console.error("Error editing image:", error);
       this.handleStreamingError(
         error,
@@ -2459,24 +2415,11 @@ class AppStore {
         "Failed to edit image",
       );
     } finally {
-      this.activeAbortController = null;
       this.isLoading = false;
       this.saveConversationsToStorage();
     }
   }
 
-  /**
-   * Cancel an in-flight request by aborting the active fetch
-   */
-  cancelRequest(): void {
-    if (this.activeAbortController) {
-      this.activeAbortController.abort();
-      this.activeAbortController = null;
-    }
-    this.isLoading = false;
-    this.currentResponse = "";
-  }
-
   /**
    * Clear current chat and go back to welcome state
    */
@@ -2613,7 +2556,6 @@ export const editMessage = (messageId: string, newContent: string) =>
 export const editAndRegenerate = (messageId: string, newContent: string) =>
   appStore.editAndRegenerate(messageId, newContent);
 export const regenerateLastResponse = () => appStore.regenerateLastResponse();
-export const cancelRequest = () => appStore.cancelRequest();
 
 // Conversation actions
 export const conversations = () => appStore.conversations;

pyproject.toml

@@ -17,9 +17,9 @@ dependencies = [
     "loguru>=0.7.3",
     "exo_pyo3_bindings", # rust bindings
     "anyio==4.11.0",
-    "mlx==0.30.3; sys_platform == 'darwin'",
+    "mlx @ git+https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git; sys_platform == 'darwin'",
     "mlx[cpu]==0.30.3; sys_platform == 'linux'",
-    "mlx-lm @ git+https://github.com/AlexCheema/mlx-lm.git@fix-transformers-5.0.0rc2",
+    "mlx-lm==0.30.5",
     "tiktoken>=0.12.0", # required for kimi k2 tokenizer
     "hypercorn>=0.18.0",
     "openai-harmony>=0.0.8",

src/exo/download/download_utils.py

@@ -121,11 +121,20 @@ async def ensure_models_dir() -> Path:
 
 
 async def delete_model(model_id: ModelId) -> bool:
-    model_dir = await ensure_models_dir() / model_id.normalize()
-    if not await aios.path.exists(model_dir):
-        return False
-    await asyncio.to_thread(shutil.rmtree, model_dir, ignore_errors=False)
-    return True
+    models_dir = await ensure_models_dir()
+    model_dir = models_dir / model_id.normalize()
+    cache_dir = models_dir / "caches" / model_id.normalize()
+
+    deleted = False
+    if await aios.path.exists(model_dir):
+        await asyncio.to_thread(shutil.rmtree, model_dir, ignore_errors=False)
+        deleted = True
+
+    # Also clear cache
+    if await aios.path.exists(cache_dir):
+        await asyncio.to_thread(shutil.rmtree, cache_dir, ignore_errors=False)
+
+    return deleted
 
 
 async def seed_models(seed_dir: str | Path):
@@ -151,16 +160,28 @@ async def fetch_file_list_with_cache(
     target_dir = (await ensure_models_dir()) / "caches" / model_id.normalize()
     await aios.makedirs(target_dir, exist_ok=True)
     cache_file = target_dir / f"{model_id.normalize()}--{revision}--file_list.json"
-    if await aios.path.exists(cache_file):
-        async with aiofiles.open(cache_file, "r") as f:
-            return TypeAdapter(list[FileListEntry]).validate_json(await f.read())
-    file_list = await fetch_file_list_with_retry(
-        model_id, revision, recursive=recursive
-    )
-    await aios.makedirs(cache_file.parent, exist_ok=True)
-    async with aiofiles.open(cache_file, "w") as f:
-        await f.write(TypeAdapter(list[FileListEntry]).dump_json(file_list).decode())
-    return file_list
+
+    # Always try fresh first
+    try:
+        file_list = await fetch_file_list_with_retry(
+            model_id, revision, recursive=recursive
+        )
+        # Update cache with fresh data
+        async with aiofiles.open(cache_file, "w") as f:
+            await f.write(
+                TypeAdapter(list[FileListEntry]).dump_json(file_list).decode()
+            )
+        return file_list
+    except Exception as e:
+        # Fetch failed - try cache fallback
+        if await aios.path.exists(cache_file):
+            logger.warning(
+                f"Failed to fetch file list for {model_id}, using cached data: {e}"
+            )
+            async with aiofiles.open(cache_file, "r") as f:
+                return TypeAdapter(list[FileListEntry]).validate_json(await f.read())
+        # No cache available, propagate the error
+        raise
 
 
 async def fetch_file_list_with_retry(
@@ -332,8 +353,28 @@ async def _download_file(
     target_dir: Path,
     on_progress: Callable[[int, int, bool], None] = lambda _, __, ___: None,
 ) -> Path:
-    if await aios.path.exists(target_dir / path):
-        return target_dir / path
+    target_path = target_dir / path
+
+    if await aios.path.exists(target_path):
+        local_size = (await aios.stat(target_path)).st_size
+
+        # Try to verify against remote, but allow offline operation
+        try:
+            remote_size, _ = await file_meta(model_id, revision, path)
+            if local_size != remote_size:
+                logger.info(
+                    f"File {path} size mismatch (local={local_size}, remote={remote_size}), re-downloading"
+                )
+                await aios.remove(target_path)
+            else:
+                return target_path
+        except Exception as e:
+            # Offline or network error - trust local file
+            logger.debug(
+                f"Could not verify {path} against remote (offline?): {e}, using local file"
+            )
+            return target_path
+
     await aios.makedirs((target_dir / path).parent, exist_ok=True)
     length, etag = await file_meta(model_id, revision, path)
     remote_hash = etag[:-5] if etag.endswith("-gzip") else etag
@@ -542,17 +583,26 @@ async def download_shard(
     async def on_progress_wrapper(
         file: FileListEntry, curr_bytes: int, total_bytes: int, is_renamed: bool
     ) -> None:
-        start_time = (
-            file_progress[file.path].start_time
-            if file.path in file_progress
-            else time.time()
-        )
-        downloaded_this_session = (
-            file_progress[file.path].downloaded_this_session.in_bytes
-            + (curr_bytes - file_progress[file.path].downloaded.in_bytes)
-            if file.path in file_progress
-            else curr_bytes
+        previous_progress = file_progress.get(file.path)
+
+        # Detect re-download: curr_bytes < previous downloaded means file was deleted and restarted
+        is_redownload = (
+            previous_progress is not None
+            and curr_bytes < previous_progress.downloaded.in_bytes
         )
+
+        if is_redownload or previous_progress is None:
+            # Fresh download or re-download: reset tracking
+            start_time = time.time()
+            downloaded_this_session = curr_bytes
+        else:
+            # Continuing download: accumulate
+            start_time = previous_progress.start_time
+            downloaded_this_session = (
+                previous_progress.downloaded_this_session.in_bytes
+                + (curr_bytes - previous_progress.downloaded.in_bytes)
+            )
+
         speed = (
             downloaded_this_session / (time.time() - start_time)
             if time.time() - start_time > 0

src/exo/download/tests/test_download_verification.py

@@ -0,0 +1,451 @@
+"""Tests for download verification and cache behavior."""
+
+import time
+from collections.abc import AsyncIterator
+from datetime import timedelta
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import aiofiles
+import aiofiles.os as aios
+import pytest
+from pydantic import TypeAdapter
+
+from exo.download.download_utils import (
+    delete_model,
+    fetch_file_list_with_cache,
+)
+from exo.shared.types.common import ModelId
+from exo.shared.types.memory import Memory
+from exo.shared.types.worker.downloads import FileListEntry, RepoFileDownloadProgress
+
+
+@pytest.fixture
+def model_id() -> ModelId:
+    return ModelId("test-org/test-model")
+
+
+@pytest.fixture
+async def temp_models_dir(tmp_path: Path) -> AsyncIterator[Path]:
+    """Set up a temporary models directory for testing."""
+    models_dir = tmp_path / "models"
+    await aios.makedirs(models_dir, exist_ok=True)
+    with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
+        yield models_dir
+
+
+class TestFileVerification:
+    """Tests for file size verification in _download_file."""
+
+    async def test_redownload_when_file_size_changes_upstream(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that files with mismatched sizes are re-downloaded."""
+        # Import inside test to allow patching
+        from exo.download.download_utils import (
+            _download_file,  # pyright: ignore[reportPrivateUsage]
+        )
+
+        target_dir = tmp_path / "downloads"
+        await aios.makedirs(target_dir, exist_ok=True)
+
+        # Create a local file with wrong size
+        local_file = target_dir / "test.safetensors"
+        async with aiofiles.open(local_file, "wb") as f:
+            await f.write(b"local content")  # 13 bytes
+
+        remote_size = 1000  # Different from local
+        remote_hash = "abc123"
+
+        with (
+            patch(
+                "exo.download.download_utils.file_meta",
+                new_callable=AsyncMock,
+                return_value=(remote_size, remote_hash),
+            ) as mock_file_meta,
+            patch(
+                "exo.download.download_utils.create_http_session"
+            ) as mock_session_factory,
+        ):
+            # Set up mock HTTP response for re-download
+            mock_response = MagicMock()
+            mock_response.status = 200
+            mock_response.content.read = AsyncMock(  # pyright: ignore[reportAny]
+                side_effect=[b"x" * remote_size, b""]
+            )
+
+            mock_session = MagicMock()
+            mock_session.get.return_value.__aenter__ = AsyncMock(  # pyright: ignore[reportAny]
+                return_value=mock_response
+            )
+            mock_session.get.return_value.__aexit__ = AsyncMock(  # pyright: ignore[reportAny]
+                return_value=None
+            )
+            mock_session_factory.return_value.__aenter__ = AsyncMock(  # pyright: ignore[reportAny]
+                return_value=mock_session
+            )
+            mock_session_factory.return_value.__aexit__ = AsyncMock(  # pyright: ignore[reportAny]
+                return_value=None
+            )
+
+            # Mock calc_hash to return the expected hash
+            with patch(
+                "exo.download.download_utils.calc_hash",
+                new_callable=AsyncMock,
+                return_value=remote_hash,
+            ):
+                await _download_file(model_id, "main", "test.safetensors", target_dir)
+
+            # file_meta should be called twice: once for verification, once for download
+            assert mock_file_meta.call_count == 2
+
+    async def test_skip_download_when_file_size_matches(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that files with matching sizes are not re-downloaded."""
+        from exo.download.download_utils import (
+            _download_file,  # pyright: ignore[reportPrivateUsage]
+        )
+
+        target_dir = tmp_path / "downloads"
+        await aios.makedirs(target_dir, exist_ok=True)
+
+        # Create a local file
+        local_file = target_dir / "test.safetensors"
+        local_content = b"local content"
+        async with aiofiles.open(local_file, "wb") as f:
+            await f.write(local_content)
+
+        remote_size = len(local_content)  # Same as local
+        remote_hash = "abc123"
+
+        with (
+            patch(
+                "exo.download.download_utils.file_meta",
+                new_callable=AsyncMock,
+                return_value=(remote_size, remote_hash),
+            ) as mock_file_meta,
+            patch(
+                "exo.download.download_utils.create_http_session"
+            ) as mock_session_factory,
+        ):
+            result = await _download_file(
+                model_id, "main", "test.safetensors", target_dir
+            )
+
+            # Should return immediately without downloading
+            assert result == local_file
+            mock_file_meta.assert_called_once()
+            mock_session_factory.assert_not_called()
+
+    async def test_offline_fallback_uses_local_file(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that local files are used when network is unavailable."""
+        from exo.download.download_utils import (
+            _download_file,  # pyright: ignore[reportPrivateUsage]
+        )
+
+        target_dir = tmp_path / "downloads"
+        await aios.makedirs(target_dir, exist_ok=True)
+
+        # Create a local file
+        local_file = target_dir / "test.safetensors"
+        async with aiofiles.open(local_file, "wb") as f:
+            await f.write(b"local content")
+
+        with (
+            patch(
+                "exo.download.download_utils.file_meta",
+                new_callable=AsyncMock,
+                side_effect=Exception("Network error"),
+            ),
+            patch(
+                "exo.download.download_utils.create_http_session"
+            ) as mock_session_factory,
+        ):
+            result = await _download_file(
+                model_id, "main", "test.safetensors", target_dir
+            )
+
+            # Should return local file without attempting download
+            assert result == local_file
+            mock_session_factory.assert_not_called()
+
+
+class TestFileListCache:
+    """Tests for file list caching behavior."""
+
+    async def test_fetch_fresh_and_update_cache(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that fresh data is fetched and cache is updated."""
+        models_dir = tmp_path / "models"
+
+        file_list = [
+            FileListEntry(type="file", path="model.safetensors", size=1000),
+            FileListEntry(type="file", path="config.json", size=100),
+        ]
+
+        with (
+            patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir),
+            patch(
+                "exo.download.download_utils.fetch_file_list_with_retry",
+                new_callable=AsyncMock,
+                return_value=file_list,
+            ) as mock_fetch,
+        ):
+            result = await fetch_file_list_with_cache(model_id, "main")
+
+            assert result == file_list
+            mock_fetch.assert_called_once()
+
+            # Verify cache was written
+            cache_file = (
+                models_dir
+                / "caches"
+                / model_id.normalize()
+                / f"{model_id.normalize()}--main--file_list.json"
+            )
+            assert await aios.path.exists(cache_file)
+
+            async with aiofiles.open(cache_file, "r") as f:
+                cached_data = TypeAdapter(list[FileListEntry]).validate_json(
+                    await f.read()
+                )
+            assert cached_data == file_list
+
+    async def test_fallback_to_cache_when_fetch_fails(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that cached data is used when fetch fails."""
+        models_dir = tmp_path / "models"
+        cache_dir = models_dir / "caches" / model_id.normalize()
+        await aios.makedirs(cache_dir, exist_ok=True)
+
+        # Create cache file
+        cached_file_list = [
+            FileListEntry(type="file", path="model.safetensors", size=1000),
+        ]
+        cache_file = cache_dir / f"{model_id.normalize()}--main--file_list.json"
+        async with aiofiles.open(cache_file, "w") as f:
+            await f.write(
+                TypeAdapter(list[FileListEntry]).dump_json(cached_file_list).decode()
+            )
+
+        with (
+            patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir),
+            patch(
+                "exo.download.download_utils.fetch_file_list_with_retry",
+                new_callable=AsyncMock,
+                side_effect=Exception("Network error"),
+            ),
+        ):
+            result = await fetch_file_list_with_cache(model_id, "main")
+
+            assert result == cached_file_list
+
+    async def test_error_propagates_when_no_cache(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that errors propagate when fetch fails and no cache exists."""
+        models_dir = tmp_path / "models"
+
+        with (
+            patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir),
+            patch(
+                "exo.download.download_utils.fetch_file_list_with_retry",
+                new_callable=AsyncMock,
+                side_effect=Exception("Network error"),
+            ),
+            pytest.raises(Exception, match="Network error"),
+        ):
+            await fetch_file_list_with_cache(model_id, "main")
+
+
+class TestModelDeletion:
+    """Tests for model deletion including cache cleanup."""
+
+    async def test_delete_model_clears_cache(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test that deleting a model also deletes its cache."""
+        models_dir = tmp_path / "models"
+        model_dir = models_dir / model_id.normalize()
+        cache_dir = models_dir / "caches" / model_id.normalize()
+
+        # Create model and cache directories
+        await aios.makedirs(model_dir, exist_ok=True)
+        await aios.makedirs(cache_dir, exist_ok=True)
+
+        # Add some files
+        async with aiofiles.open(model_dir / "model.safetensors", "w") as f:
+            await f.write("model data")
+        async with aiofiles.open(cache_dir / "file_list.json", "w") as f:
+            await f.write("[]")
+
+        with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
+            result = await delete_model(model_id)
+
+            assert result is True
+            assert not await aios.path.exists(model_dir)
+            assert not await aios.path.exists(cache_dir)
+
+    async def test_delete_model_only_cache_exists(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test deleting when only cache exists (model already deleted)."""
+        models_dir = tmp_path / "models"
+        cache_dir = models_dir / "caches" / model_id.normalize()
+
+        # Only create cache directory
+        await aios.makedirs(cache_dir, exist_ok=True)
+        async with aiofiles.open(cache_dir / "file_list.json", "w") as f:
+            await f.write("[]")
+
+        with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
+            result = await delete_model(model_id)
+
+            # Returns False because model dir didn't exist
+            assert result is False
+            # But cache should still be cleaned up
+            assert not await aios.path.exists(cache_dir)
+
+    async def test_delete_nonexistent_model(
+        self, model_id: ModelId, tmp_path: Path
+    ) -> None:
+        """Test deleting a model that doesn't exist."""
+        models_dir = tmp_path / "models"
+        await aios.makedirs(models_dir, exist_ok=True)
+
+        with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
+            result = await delete_model(model_id)
+
+            assert result is False
+
+
+class TestProgressResetOnRedownload:
+    """Tests for progress tracking when files are re-downloaded."""
+
+    async def test_progress_resets_correctly_on_redownload(
+        self, model_id: ModelId
+    ) -> None:
+        """Test that progress tracking resets when a file is re-downloaded.
+
+        When a file is deleted and re-downloaded (due to size mismatch),
+        the progress tracking should reset rather than calculating negative
+        downloaded_this_session values.
+        """
+        # Simulate file_progress dict as it exists in download_shard
+        file_progress: dict[str, RepoFileDownloadProgress] = {}
+
+        # Initialize with old file progress (simulating existing large file)
+        old_file_size = 1_500_000_000  # 1.5 GB
+        file_progress["model.safetensors"] = RepoFileDownloadProgress(
+            repo_id=model_id,
+            repo_revision="main",
+            file_path="model.safetensors",
+            downloaded=Memory.from_bytes(old_file_size),
+            downloaded_this_session=Memory.from_bytes(0),
+            total=Memory.from_bytes(old_file_size),
+            speed=0,
+            eta=timedelta(0),
+            status="not_started",
+            start_time=time.time() - 10,  # Started 10 seconds ago
+        )
+
+        # Simulate the logic from on_progress_wrapper after re-download starts
+        # This is the exact logic from the fixed on_progress_wrapper
+        curr_bytes = 100_000  # 100 KB - new download just started
+        previous_progress = file_progress.get("model.safetensors")
+
+        # Detect re-download: curr_bytes < previous downloaded
+        is_redownload = (
+            previous_progress is not None
+            and curr_bytes < previous_progress.downloaded.in_bytes
+        )
+
+        if is_redownload or previous_progress is None:
+            # Fresh download or re-download: reset tracking
+            start_time = time.time()
+            downloaded_this_session = curr_bytes
+        else:
+            # Continuing download: accumulate
+            start_time = previous_progress.start_time
+            downloaded_this_session = (
+                previous_progress.downloaded_this_session.in_bytes
+                + (curr_bytes - previous_progress.downloaded.in_bytes)
+            )
+
+        # Key assertions
+        assert is_redownload is True, "Should detect re-download scenario"
+        assert downloaded_this_session == curr_bytes, (
+            "downloaded_this_session should equal curr_bytes on re-download"
+        )
+        assert downloaded_this_session > 0, (
+            "downloaded_this_session should be positive, not negative"
+        )
+
+        # Calculate speed (should be positive)
+        elapsed = time.time() - start_time
+        speed = downloaded_this_session / elapsed if elapsed > 0 else 0
+        assert speed >= 0, "Speed should be non-negative"
+
+    async def test_progress_accumulates_on_continuing_download(
+        self, model_id: ModelId
+    ) -> None:
+        """Test that progress accumulates correctly for continuing downloads.
+
+        When a download continues from where it left off (resume),
+        the progress should accumulate correctly.
+        """
+        file_progress: dict[str, RepoFileDownloadProgress] = {}
+
+        # Initialize with partial download progress
+        initial_downloaded = 500_000  # 500 KB already downloaded
+        start_time = time.time() - 5  # Started 5 seconds ago
+        file_progress["model.safetensors"] = RepoFileDownloadProgress(
+            repo_id=model_id,
+            repo_revision="main",
+            file_path="model.safetensors",
+            downloaded=Memory.from_bytes(initial_downloaded),
+            downloaded_this_session=Memory.from_bytes(initial_downloaded),
+            total=Memory.from_bytes(1_000_000),
+            speed=100_000,
+            eta=timedelta(seconds=5),
+            status="in_progress",
+            start_time=start_time,
+        )
+
+        # Progress callback with more bytes downloaded
+        curr_bytes = 600_000  # 600 KB - continuing download
+        previous_progress = file_progress.get("model.safetensors")
+
+        # This is NOT a re-download (curr_bytes > previous downloaded)
+        is_redownload = (
+            previous_progress is not None
+            and curr_bytes < previous_progress.downloaded.in_bytes
+        )
+
+        if is_redownload or previous_progress is None:
+            downloaded_this_session = curr_bytes
+            used_start_time = time.time()
+        else:
+            used_start_time = previous_progress.start_time
+            downloaded_this_session = (
+                previous_progress.downloaded_this_session.in_bytes
+                + (curr_bytes - previous_progress.downloaded.in_bytes)
+            )
+
+        # Key assertions
+        assert is_redownload is False, (
+            "Should NOT detect re-download for continuing download"
+        )
+        assert used_start_time == start_time, "Should preserve original start_time"
+        expected_session = initial_downloaded + (curr_bytes - initial_downloaded)
+        assert downloaded_this_session == expected_session, (
+            f"Should accumulate: {downloaded_this_session} == {expected_session}"
+        )
+        assert downloaded_this_session == 600_000, (
+            "downloaded_this_session should equal total downloaded so far"
+        )

src/exo/master/api.py

@@ -88,7 +88,6 @@ from exo.shared.types.commands import (
     PlaceInstance,
     SendInputChunk,
     StartDownload,
-    TaskCancelled,
     TaskFinished,
 )
 from exo.shared.types.common import CommandId, Id, NodeId, SessionId
@@ -509,14 +508,16 @@ class API:
                         break
 
         except anyio.get_cancelled_exc_class():
-            command = TaskCancelled(cancelled_command_id=command_id)
-            with anyio.CancelScope(shield=True):
-                await self.command_sender.send(
-                    ForwarderCommand(origin=self.node_id, command=command)
-                )
+            # TODO: TaskCancelled
+            """
+            self.command_sender.send_nowait(
+                ForwarderCommand(origin=self.node_id, command=command)
+            )
+            """
             raise
         finally:
-            await self._send(TaskFinished(finished_command_id=command_id))
+            command = TaskFinished(finished_command_id=command_id)
+            await self._send(command)
             if command_id in self._chat_completion_queues:
                 del self._chat_completion_queues[command_id]
 
@@ -900,11 +901,6 @@ class API:
                         del image_metadata[key]
 
         except anyio.get_cancelled_exc_class():
-            command = TaskCancelled(cancelled_command_id=command_id)
-            with anyio.CancelScope(shield=True):
-                await self.command_sender.send(
-                    ForwarderCommand(origin=self.node_id, command=command)
-                )
             raise
         finally:
             await self._send(TaskFinished(finished_command_id=command_id))
@@ -986,11 +982,6 @@ class API:
 
             return (images, stats if capture_stats else None)
         except anyio.get_cancelled_exc_class():
-            command = TaskCancelled(cancelled_command_id=command_id)
-            with anyio.CancelScope(shield=True):
-                await self.command_sender.send(
-                    ForwarderCommand(origin=self.node_id, command=command)
-                )
             raise
         finally:
             await self._send(TaskFinished(finished_command_id=command_id))

src/exo/master/main.py

@@ -21,7 +21,6 @@ from exo.shared.types.commands import (
     PlaceInstance,
     RequestEventLog,
     SendInputChunk,
-    TaskCancelled,
     TaskFinished,
     TestCommand,
 )
@@ -36,7 +35,6 @@ from exo.shared.types.events import (
     NodeTimedOut,
     TaskCreated,
     TaskDeleted,
-    TaskStatusUpdated,
 )
 from exo.shared.types.state import State
 from exo.shared.types.tasks import (
@@ -248,7 +246,7 @@ class Master:
                         case DeleteInstance():
                             placement = delete_instance(command, self.state.instances)
                             transition_events = get_transition_events(
-                                self.state.instances, placement, self.state.tasks
+                                self.state.instances, placement
                             )
                             generated_events.extend(transition_events)
                         case PlaceInstance():
@@ -260,7 +258,7 @@ class Master:
                                 self.state.node_network,
                             )
                             transition_events = get_transition_events(
-                                self.state.instances, placement, self.state.tasks
+                                self.state.instances, placement
                             )
                             generated_events.extend(transition_events)
                         case CreateInstance():
@@ -270,7 +268,7 @@ class Master:
                                 self.state.instances,
                             )
                             transition_events = get_transition_events(
-                                self.state.instances, placement, self.state.tasks
+                                self.state.instances, placement
                             )
                             generated_events.extend(transition_events)
                         case SendInputChunk(chunk=chunk):
@@ -280,18 +278,6 @@ class Master:
                                     chunk=chunk,
                                 )
                             )
-                        case TaskCancelled():
-                            if (
-                                task_id := self.command_task_mapping.get(
-                                    command.cancelled_command_id
-                                )
-                            ) is not None:
-                                generated_events.append(
-                                    TaskStatusUpdated(
-                                        task_status=TaskStatus.Cancelled,
-                                        task_id=task_id,
-                                    )
-                                )
                         case TaskFinished():
                             generated_events.append(
                                 TaskDeleted(
@@ -300,9 +286,10 @@ class Master:
                                     ]
                                 )
                             )
-                            self.command_task_mapping.pop(
-                                command.finished_command_id, None
-                            )
+                            if command.finished_command_id in self.command_task_mapping:
+                                del self.command_task_mapping[
+                                    command.finished_command_id
+                                ]
                         case RequestEventLog():
                             # We should just be able to send everything, since other buffers will ignore old messages
                             for i in range(command.since_idx, len(self._event_log)):

src/exo/master/placement.py

@@ -20,15 +20,9 @@ from exo.shared.types.commands import (
     PlaceInstance,
 )
 from exo.shared.types.common import NodeId
-from exo.shared.types.events import (
-    Event,
-    InstanceCreated,
-    InstanceDeleted,
-    TaskStatusUpdated,
-)
+from exo.shared.types.events import Event, InstanceCreated, InstanceDeleted
 from exo.shared.types.memory import Memory
 from exo.shared.types.profiling import MemoryUsage, NodeNetworkInfo
-from exo.shared.types.tasks import Task, TaskId, TaskStatus
 from exo.shared.types.worker.instances import (
     Instance,
     InstanceId,
@@ -186,7 +180,6 @@ def delete_instance(
 def get_transition_events(
     current_instances: Mapping[InstanceId, Instance],
     target_instances: Mapping[InstanceId, Instance],
-    tasks: Mapping[TaskId, Task],
 ) -> Sequence[Event]:
     events: list[Event] = []
 
@@ -202,18 +195,6 @@ def get_transition_events(
     # find instances to delete
     for instance_id in current_instances:
         if instance_id not in target_instances:
-            for task in tasks.values():
-                if task.instance_id == instance_id and task.task_status in [
-                    TaskStatus.Pending,
-                    TaskStatus.Running,
-                ]:
-                    events.append(
-                        TaskStatusUpdated(
-                            task_status=TaskStatus.Cancelled,
-                            task_id=task.task_id,
-                        )
-                    )
-
             events.append(
                 InstanceDeleted(
                     instance_id=instance_id,

src/exo/shared/models/model_cards.py

@@ -413,9 +413,9 @@ MODEL_CARDS: dict[str, ModelCard] = {
     ),
 }
 
-_IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
+_IMAGE_BASE_MODEL_CARDS: dict[str, ModelCard] = {
     "flux1-schnell": ModelCard(
-        model_id=ModelId("black-forest-labs/FLUX.1-schnell"),
+        model_id=ModelId("exolabs/FLUX.1-schnell"),
         storage_size=Memory.from_bytes(23782357120 + 9524621312),
         n_layers=57,
         hidden_size=1,
@@ -428,7 +428,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
                 storage_size=Memory.from_kb(0),
                 n_layers=12,
                 can_shard=False,
-                safetensors_index_filename=None,  # Single file
+                safetensors_index_filename=None,
             ),
             ComponentInfo(
                 component_name="text_encoder_2",
@@ -442,7 +442,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
                 component_name="transformer",
                 component_path="transformer/",
                 storage_size=Memory.from_bytes(23782357120),
-                n_layers=57,  # 19 transformer_blocks + 38 single_transformer_blocks
+                n_layers=57,
                 can_shard=True,
                 safetensors_index_filename="diffusion_pytorch_model.safetensors.index.json",
             ),
@@ -457,7 +457,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
         ],
     ),
     "flux1-dev": ModelCard(
-        model_id=ModelId("black-forest-labs/FLUX.1-dev"),
+        model_id=ModelId("exolabs/FLUX.1-dev"),
         storage_size=Memory.from_bytes(23782357120 + 9524621312),
         n_layers=57,
         hidden_size=1,
@@ -470,7 +470,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
                 storage_size=Memory.from_kb(0),
                 n_layers=12,
                 can_shard=False,
-                safetensors_index_filename=None,  # Single file
+                safetensors_index_filename=None,
             ),
             ComponentInfo(
                 component_name="text_encoder_2",
@@ -484,7 +484,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
                 component_name="transformer",
                 component_path="transformer/",
                 storage_size=Memory.from_bytes(23802816640),
-                n_layers=57,  # 19 transformer_blocks + 38 single_transformer_blocks
+                n_layers=57,
                 can_shard=True,
                 safetensors_index_filename="diffusion_pytorch_model.safetensors.index.json",
             ),
@@ -499,7 +499,7 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
         ],
     ),
     "flux1-krea-dev": ModelCard(
-        model_id=ModelId("black-forest-labs/FLUX.1-Krea-dev"),
+        model_id=ModelId("exolabs/FLUX.1-Krea-dev"),
         storage_size=Memory.from_bytes(23802816640 + 9524621312),  # Same as dev
         n_layers=57,
         hidden_size=1,
@@ -541,9 +541,9 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
         ],
     ),
     "qwen-image": ModelCard(
-        model_id=ModelId("Qwen/Qwen-Image"),
+        model_id=ModelId("exolabs/Qwen-Image"),
         storage_size=Memory.from_bytes(16584333312 + 40860802176),
-        n_layers=60,  # Qwen has 60 transformer blocks (all joint-style)
+        n_layers=60,
         hidden_size=1,
         supports_tensor=False,
         tasks=[ModelTask.TextToImage],
@@ -551,10 +551,10 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
             ComponentInfo(
                 component_name="text_encoder",
                 component_path="text_encoder/",
-                storage_size=Memory.from_kb(16584333312),
+                storage_size=Memory.from_bytes(16584333312),
                 n_layers=12,
                 can_shard=False,
-                safetensors_index_filename=None,  # Single file
+                safetensors_index_filename=None,
             ),
             ComponentInfo(
                 component_name="transformer",
@@ -575,9 +575,9 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
         ],
     ),
     "qwen-image-edit-2509": ModelCard(
-        model_id=ModelId("Qwen/Qwen-Image-Edit-2509"),
+        model_id=ModelId("exolabs/Qwen-Image-Edit-2509"),
         storage_size=Memory.from_bytes(16584333312 + 40860802176),
-        n_layers=60,  # Qwen has 60 transformer blocks (all joint-style)
+        n_layers=60,
         hidden_size=1,
         supports_tensor=False,
         tasks=[ModelTask.ImageToImage],
@@ -585,10 +585,10 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
             ComponentInfo(
                 component_name="text_encoder",
                 component_path="text_encoder/",
-                storage_size=Memory.from_kb(16584333312),
+                storage_size=Memory.from_bytes(16584333312),
                 n_layers=12,
                 can_shard=False,
-                safetensors_index_filename=None,  # Single file
+                safetensors_index_filename=None,
             ),
             ComponentInfo(
                 component_name="transformer",
@@ -610,6 +610,92 @@ _IMAGE_MODEL_CARDS: dict[str, ModelCard] = {
     ),
 }
 
+
+def _generate_image_model_quant_variants(
+    base_name: str,
+    base_card: ModelCard,
+) -> dict[str, ModelCard]:
+    """Create quantized variants of an image model card.
+
+    Only the transformer component is quantized; text encoders stay at bf16.
+    Sizes are calculated exactly from the base card's component sizes.
+    """
+    if base_card.components is None:
+        raise ValueError(f"Image model {base_name} must have components defined")
+
+    # quantizations = [8, 6, 5, 4, 3]
+    quantizations = [8, 4]
+
+    num_transformer_bytes = next(
+        c.storage_size.in_bytes
+        for c in base_card.components
+        if c.component_name == "transformer"
+    )
+
+    transformer_bytes = Memory.from_bytes(num_transformer_bytes)
+
+    remaining_bytes = Memory.from_bytes(
+        sum(
+            c.storage_size.in_bytes
+            for c in base_card.components
+            if c.component_name != "transformer"
+        )
+    )
+
+    def with_transformer_size(new_size: Memory) -> list[ComponentInfo]:
+        assert base_card.components is not None
+        return [
+            ComponentInfo(
+                component_name=c.component_name,
+                component_path=c.component_path,
+                storage_size=new_size
+                if c.component_name == "transformer"
+                else c.storage_size,
+                n_layers=c.n_layers,
+                can_shard=c.can_shard,
+                safetensors_index_filename=c.safetensors_index_filename,
+            )
+            for c in base_card.components
+        ]
+
+    variants = {
+        base_name: ModelCard(
+            model_id=base_card.model_id,
+            storage_size=transformer_bytes + remaining_bytes,
+            n_layers=base_card.n_layers,
+            hidden_size=base_card.hidden_size,
+            supports_tensor=base_card.supports_tensor,
+            tasks=base_card.tasks,
+            components=with_transformer_size(transformer_bytes),
+        )
+    }
+
+    for quant in quantizations:
+        quant_transformer_bytes = Memory.from_bytes(
+            (num_transformer_bytes * quant) // 16
+        )
+        total_bytes = remaining_bytes + quant_transformer_bytes
+
+        model_id = ModelId(base_card.model_id + f"-{quant}bit")
+
+        variants[f"{base_name}-{quant}bit"] = ModelCard(
+            model_id=model_id,
+            storage_size=total_bytes,
+            n_layers=base_card.n_layers,
+            hidden_size=base_card.hidden_size,
+            supports_tensor=base_card.supports_tensor,
+            tasks=base_card.tasks,
+            components=with_transformer_size(quant_transformer_bytes),
+        )
+
+    return variants
+
+
+_image_model_cards: dict[str, ModelCard] = {}
+for _base_name, _base_card in _IMAGE_BASE_MODEL_CARDS.items():
+    _image_model_cards |= _generate_image_model_quant_variants(_base_name, _base_card)
+_IMAGE_MODEL_CARDS = _image_model_cards
+
 if EXO_ENABLE_IMAGE_MODELS:
     MODEL_CARDS.update(_IMAGE_MODEL_CARDS)
 

src/exo/shared/types/commands.py

@@ -48,10 +48,6 @@ class DeleteInstance(BaseCommand):
     instance_id: InstanceId
 
 
-class TaskCancelled(BaseCommand):
-    cancelled_command_id: CommandId
-
-
 class TaskFinished(BaseCommand):
     finished_command_id: CommandId
 
@@ -88,7 +84,6 @@ Command = (
     | PlaceInstance
     | CreateInstance
     | DeleteInstance
-    | TaskCancelled
     | TaskFinished
     | SendInputChunk
 )

src/exo/shared/types/tasks.py

@@ -24,7 +24,6 @@ class TaskStatus(str, Enum):
     Complete = "Complete"
     TimedOut = "TimedOut"
     Failed = "Failed"
-    Cancelled = "Cancelled"
 
 
 class BaseTask(TaggedModel):
@@ -61,10 +60,6 @@ class ChatCompletion(BaseTask):  # emitted by Master
     error_message: str | None = Field(default=None)
 
 
-class CancelTask(BaseTask):
-    cancelled_task_id: TaskId
-
-
 class ImageGeneration(BaseTask):  # emitted by Master
     command_id: CommandId
     task_params: ImageGenerationTaskParams
@@ -92,7 +87,6 @@ Task = (
     | LoadModel
     | StartWarmup
     | ChatCompletion
-    | CancelTask
     | ImageGeneration
     | ImageEdits
     | Shutdown

src/exo/utils/info_gatherer/info_gatherer.py

@@ -349,13 +349,8 @@ class InfoGatherer:
     async def _monitor_misc(self):
         if self.misc_poll_interval is None:
             return
-        prev = await MiscData.gather()
-        await self.info_sender.send(prev)
         while True:
-            curr = await MiscData.gather()
-            if prev != curr:
-                prev = curr
-                await self.info_sender.send(curr)
+            await self.info_sender.send(await MiscData.gather())
             await anyio.sleep(self.misc_poll_interval)
 
     async def _monitor_system_profiler_thunderbolt_data(self):
@@ -365,15 +360,12 @@ class InfoGatherer:
         if iface_map is None:
             return
 
-        old_idents = []
         while True:
             data = await ThunderboltConnectivity.gather()
             assert data is not None
 
             idents = [it for i in data if (it := i.ident(iface_map)) is not None]
-            if idents != old_idents:
-                await self.info_sender.send(MacThunderboltIdentifiers(idents=idents))
-            old_idents = idents
+            await self.info_sender.send(MacThunderboltIdentifiers(idents=idents))
 
             conns = [it for i in data if (it := i.conn()) is not None]
             await self.info_sender.send(MacThunderboltConnections(conns=conns))
@@ -398,22 +390,17 @@ class InfoGatherer:
     async def _watch_system_info(self):
         if self.interface_watcher_interval is None:
             return
-        old_nics = []
         while True:
             nics = await get_network_interfaces()
-            if nics != old_nics:
-                old_nics = nics
-                await self.info_sender.send(NodeNetworkInterfaces(ifaces=nics))
+            await self.info_sender.send(NodeNetworkInterfaces(ifaces=nics))
             await anyio.sleep(self.interface_watcher_interval)
 
     async def _monitor_thunderbolt_bridge_status(self):
         if self.thunderbolt_bridge_poll_interval is None:
             return
-        prev: ThunderboltBridgeInfo | None = None
         while True:
             curr = await ThunderboltBridgeInfo.gather()
-            if curr is not None and prev != curr:
-                prev = curr
+            if curr is not None:
                 await self.info_sender.send(curr)
             await anyio.sleep(self.thunderbolt_bridge_poll_interval)
 

src/exo/worker/engines/image/distributed_model.py

@@ -1,4 +1,4 @@
-from collections.abc import Callable, Generator
+from collections.abc import Generator
 from pathlib import Path
 from typing import Any, Literal, Optional
 
@@ -109,7 +109,6 @@ class DistributedImageModel:
         image_path: Path | None = None,
         partial_images: int = 0,
         advanced_params: AdvancedImageParams | None = None,
-        cancel_checker: Callable[[], bool] | None = None,
     ) -> Generator[Image.Image | tuple[Image.Image, int, int], None, None]:
         if (
             advanced_params is not None
@@ -154,7 +153,6 @@ class DistributedImageModel:
             guidance_override=guidance_override,
             negative_prompt=negative_prompt,
             num_sync_steps=num_sync_steps,
-            cancel_checker=cancel_checker,
         ):
             if isinstance(result, tuple):
                 # Partial image: (GeneratedImage, partial_index, total_partials)

src/exo/worker/engines/image/generate.py

@@ -3,7 +3,6 @@ import io
 import random
 import tempfile
 import time
-from collections.abc import Callable
 from pathlib import Path
 from typing import Generator, Literal
 
@@ -69,18 +68,12 @@ def warmup_image_generator(model: DistributedImageModel) -> Image.Image | None:
 def generate_image(
     model: DistributedImageModel,
     task: ImageGenerationTaskParams | ImageEditsInternalParams,
-    cancel_checker: Callable[[], bool] | None = None,
 ) -> Generator[ImageGenerationResponse | PartialImageResponse, None, None]:
     """Generate image(s), optionally yielding partial results.
 
     When partial_images > 0 or stream=True, yields PartialImageResponse for
     intermediate images, then ImageGenerationResponse for the final image.
 
-    Args:
-        model: The distributed image model to use for generation.
-        task: The task parameters for image generation or editing.
-        cancel_checker: Optional callback to check if generation should be cancelled.
-
     Yields:
         PartialImageResponse for intermediate images (if partial_images > 0, first image only)
         ImageGenerationResponse for final complete images
@@ -130,7 +123,6 @@ def generate_image(
                 image_path=image_path,
                 partial_images=partial_images,
                 advanced_params=advanced_params,
-                cancel_checker=cancel_checker,
             ):
                 if isinstance(result, tuple):
                     # Partial image: (Image, partial_index, total_partials)

src/exo/worker/engines/image/pipeline/runner.py

@@ -1,4 +1,3 @@
-from collections.abc import Callable
 from math import ceil
 from typing import Any, Optional
 
@@ -95,8 +94,6 @@ class DiffusionRunner:
         self.total_layers = config.total_blocks
 
         self._guidance_override: float | None = None
-        self._cancel_checker: Callable[[], bool] | None = None
-        self._cancelling = False
 
         self._compute_assigned_blocks()
 
@@ -151,54 +148,6 @@ class DiffusionRunner:
             return self._guidance_override
         return self.config.guidance_scale
 
-    def _check_cancellation(self) -> bool:
-        if self._cancelling:
-            return True
-        if (
-            self.is_first_stage
-            and self._cancel_checker is not None
-            and self._cancel_checker()
-        ):
-            self._cancelling = True
-        return self._cancelling
-
-    def _is_sentinel(self, tensor: mx.array) -> bool:
-        return bool(mx.all(mx.isnan(tensor)).item())
-
-    def _make_sentinel_like(self, tensor: mx.array) -> mx.array:
-        return mx.full(tensor.shape, float("nan"), dtype=tensor.dtype)
-
-    def _recv(
-        self,
-        shape: tuple[int, ...],
-        dtype: mx.Dtype,
-        src: int,
-    ) -> mx.array:
-        """Receive data and check for cancellation sentinel."""
-        data = mx.distributed.recv(shape, dtype, src, group=self.group)
-        mx.eval(data)
-        if self._is_sentinel(data):
-            self._cancelling = True
-        return data
-
-    def _recv_like(self, template: mx.array, src: int) -> mx.array:
-        """Receive data matching template and check for cancellation sentinel."""
-        data = mx.distributed.recv_like(template, src=src, group=self.group)
-        mx.eval(data)
-        if self._is_sentinel(data):
-            self._cancelling = True
-        return data
-
-    def _send(self, data: mx.array, dst: int) -> mx.array:
-        """Send data, or sentinel if cancelling."""
-
-        if self._cancelling:
-            data = self._make_sentinel_like(data)
-
-        result = mx.distributed.send(data, dst, group=self.group)
-        mx.async_eval(result)
-        return result
-
     def _ensure_wrappers(
         self,
         text_seq_len: int,
@@ -295,7 +244,6 @@ class DiffusionRunner:
         guidance_override: float | None = None,
         negative_prompt: str | None = None,
         num_sync_steps: int = 1,
-        cancel_checker: Callable[[], bool] | None = None,
     ):
         """Primary entry point for image generation.
 
@@ -307,21 +255,17 @@ class DiffusionRunner:
         5. Decode to image
 
         Args:
-            runtime_config: Runtime configuration (steps, height, width)
+            settings: Generation config (steps, height, width)
             prompt: Text prompt
             seed: Random seed
             partial_images: Number of intermediate images to yield (0 for none)
             guidance_override: Optional override for guidance scale (CFG)
-            negative_prompt: Optional negative prompt for CFG
-            num_sync_steps: Number of synchronous pipeline steps
-            cancel_checker: Optional callback to check for cancellation
 
         Yields:
             Partial images as (GeneratedImage, partial_index, total_partials) tuples
             Final GeneratedImage
         """
         self._guidance_override = guidance_override
-        self._cancel_checker = cancel_checker
         latents = self.adapter.create_latents(seed, runtime_config)
         prompt_data = self.adapter.encode_prompt(prompt, negative_prompt)
 
@@ -363,7 +307,7 @@ class DiffusionRunner:
             except StopIteration as e:
                 latents = e.value  # pyright: ignore[reportAny]
 
-        if self.is_last_stage and not self._cancelling:
+        if self.is_last_stage:
             yield self.adapter.decode_latents(latents, runtime_config, seed, prompt)  # pyright: ignore[reportAny]
 
     def _run_diffusion_loop(
@@ -379,7 +323,6 @@ class DiffusionRunner:
         if capture_steps is None:
             capture_steps = set()
 
-        self._cancelling = False
         self._reset_all_caches()
 
         time_steps = tqdm(range(runtime_config.num_inference_steps))
@@ -402,13 +345,9 @@ class DiffusionRunner:
                     num_sync_steps=num_sync_steps,
                 )
 
-                if self._cancelling:
-                    break
-
                 ctx.in_loop(  # pyright: ignore[reportAny]
                     t=t,
                     latents=latents,
-                    time_steps=time_steps,
                 )
 
                 mx.eval(latents)
@@ -417,7 +356,7 @@ class DiffusionRunner:
                     yield (latents, t)
 
             except KeyboardInterrupt:  # noqa: PERF203
-                ctx.interruption(t=t, latents=latents, time_steps=time_steps)  # pyright: ignore[reportAny]
+                ctx.interruption(t=t, latents=latents)  # pyright: ignore[reportAny]
                 raise StopImageGenerationException(
                     f"Stopping image generation at step {t + 1}/{len(time_steps)}"
                 ) from None
@@ -627,8 +566,6 @@ class DiffusionRunner:
             for wrapper in self.joint_block_wrappers:
                 wrapper.set_encoder_mask(encoder_hidden_states_mask)
 
-        self._check_cancellation()
-
         encoder_hidden_states: mx.array | None = None
         if self.is_first_stage:
             hidden_states, encoder_hidden_states = self.adapter.compute_embeddings(
@@ -648,12 +585,19 @@ class DiffusionRunner:
 
         if self.has_joint_blocks:
             if not self.is_first_stage:
-                hidden_states = self._recv(
-                    (batch_size, num_img_tokens, hidden_dim), dtype, self.prev_rank
+                hidden_states = mx.distributed.recv(
+                    (batch_size, num_img_tokens, hidden_dim),
+                    dtype,
+                    self.prev_rank,
+                    group=self.group,
                 )
-                encoder_hidden_states = self._recv(
-                    (batch_size, text_seq_len, hidden_dim), dtype, self.prev_rank
+                encoder_hidden_states = mx.distributed.recv(
+                    (batch_size, text_seq_len, hidden_dim),
+                    dtype,
+                    self.prev_rank,
+                    group=self.group,
                 )
+                mx.eval(hidden_states, encoder_hidden_states)
 
             assert self.joint_block_wrappers is not None
             assert encoder_hidden_states is not None
@@ -675,20 +619,30 @@ class DiffusionRunner:
             if self.has_single_blocks or self.is_last_stage:
                 hidden_states = concatenated
             else:
-                concatenated = self._send(concatenated, self.next_rank)
+                concatenated = mx.distributed.send(
+                    concatenated, self.next_rank, group=self.group
+                )
+                mx.async_eval(concatenated)
 
         elif self.has_joint_blocks and not self.is_last_stage:
             assert encoder_hidden_states is not None
-            hidden_states = self._send(hidden_states, self.next_rank)
-            encoder_hidden_states = self._send(encoder_hidden_states, self.next_rank)
+            hidden_states = mx.distributed.send(
+                hidden_states, self.next_rank, group=self.group
+            )
+            encoder_hidden_states = mx.distributed.send(
+                encoder_hidden_states, self.next_rank, group=self.group
+            )
+            mx.async_eval(hidden_states, encoder_hidden_states)
 
         if self.has_single_blocks:
             if not self.owns_concat_stage and not self.is_first_stage:
-                hidden_states = self._recv(
+                hidden_states = mx.distributed.recv(
                     (batch_size, text_seq_len + num_img_tokens, hidden_dim),
                     dtype,
                     self.prev_rank,
+                    group=self.group,
                 )
+                mx.eval(hidden_states)
 
             assert self.single_block_wrappers is not None
             for wrapper in self.single_block_wrappers:
@@ -700,7 +654,10 @@ class DiffusionRunner:
                 )
 
             if not self.is_last_stage:
-                hidden_states = self._send(hidden_states, self.next_rank)
+                hidden_states = mx.distributed.send(
+                    hidden_states, self.next_rank, group=self.group
+                )
+                mx.async_eval(hidden_states)
 
         hidden_states = hidden_states[:, text_seq_len:, ...]
 
@@ -784,13 +741,14 @@ class DiffusionRunner:
             )
 
             if not self.is_first_stage:
-                hidden_states = self._send(hidden_states, 0)
+                hidden_states = mx.distributed.send(hidden_states, 0, group=self.group)
+                mx.async_eval(hidden_states)
 
         elif self.is_first_stage:
-            hidden_states = self._recv_like(prev_latents, src=self.world_size - 1)
-
-            if self._cancelling:
-                return prev_latents
+            hidden_states = mx.distributed.recv_like(
+                prev_latents, src=self.world_size - 1, group=self.group
+            )
+            mx.eval(hidden_states)
 
         else:
             hidden_states = prev_latents
@@ -850,9 +808,10 @@ class DiffusionRunner:
                 and not self.is_last_stage
                 and not is_first_async_step
             ):
-                patch = self._recv_like(patch, src=self.prev_rank)
-
-            self._check_cancellation()
+                patch = mx.distributed.recv_like(
+                    patch, src=self.prev_rank, group=self.group
+                )
+                mx.eval(patch)
 
             step_patch = mx.concatenate([patch, patch], axis=0) if needs_cfg else patch
 
@@ -883,19 +842,10 @@ class DiffusionRunner:
                 )
 
                 if not self.is_first_stage and t != config.num_inference_steps - 1:
-                    patch_latents[patch_idx] = self._send(
-                        patch_latents[patch_idx], self.next_rank
+                    patch_latents[patch_idx] = mx.distributed.send(
+                        patch_latents[patch_idx], self.next_rank, group=self.group
                     )
-
-        # Drain final rank patch sends if cancelling
-        if (
-            self._cancelling
-            and self.is_first_stage
-            and not self.is_last_stage
-            and t != config.num_inference_steps - 1
-        ):
-            for patch_idx in range(len(patch_latents)):
-                _ = self._recv_like(patch_latents[patch_idx], src=self.prev_rank)
+                    mx.async_eval(patch_latents[patch_idx])
 
         return mx.concatenate(patch_latents, axis=1)
 
@@ -934,16 +884,22 @@ class DiffusionRunner:
         if self.has_joint_blocks:
             if not self.is_first_stage:
                 patch_len = patch.shape[1]
-                patch = self._recv(
-                    (batch_size, patch_len, hidden_dim), patch.dtype, self.prev_rank
+                patch = mx.distributed.recv(
+                    (batch_size, patch_len, hidden_dim),
+                    patch.dtype,
+                    self.prev_rank,
+                    group=self.group,
                 )
+                mx.eval(patch)
 
                 if patch_idx == 0:
-                    encoder_hidden_states = self._recv(
+                    encoder_hidden_states = mx.distributed.recv(
                         (batch_size, text_seq_len, hidden_dim),
                         patch.dtype,
                         self.prev_rank,
+                        group=self.group,
                     )
+                    mx.eval(encoder_hidden_states)
 
             if self.is_first_stage:
                 patch, encoder_hidden_states = self.adapter.compute_embeddings(
@@ -968,25 +924,32 @@ class DiffusionRunner:
             if self.has_single_blocks or self.is_last_stage:
                 patch = patch_concat
             else:
-                patch_concat = self._send(patch_concat, self.next_rank)
+                patch_concat = mx.distributed.send(
+                    patch_concat, self.next_rank, group=self.group
+                )
+                mx.async_eval(patch_concat)
 
         elif self.has_joint_blocks and not self.is_last_stage:
-            patch = self._send(patch, self.next_rank)
+            patch = mx.distributed.send(patch, self.next_rank, group=self.group)
+            mx.async_eval(patch)
 
             if patch_idx == 0:
                 assert encoder_hidden_states is not None
-                encoder_hidden_states = self._send(
-                    encoder_hidden_states, self.next_rank
+                encoder_hidden_states = mx.distributed.send(
+                    encoder_hidden_states, self.next_rank, group=self.group
                 )
+                mx.async_eval(encoder_hidden_states)
 
         if self.has_single_blocks:
             if not self.owns_concat_stage and not self.is_first_stage:
                 patch_len = patch.shape[1]
-                patch = self._recv(
+                patch = mx.distributed.recv(
                     (batch_size, text_seq_len + patch_len, hidden_dim),
                     patch.dtype,
                     self.prev_rank,
+                    group=self.group,
                 )
+                mx.eval(patch)
 
             assert self.single_block_wrappers is not None
             for wrapper in self.single_block_wrappers:
@@ -998,7 +961,8 @@ class DiffusionRunner:
                 )
 
             if not self.is_last_stage:
-                patch = self._send(patch, self.next_rank)
+                patch = mx.distributed.send(patch, self.next_rank, group=self.group)
+                mx.async_eval(patch)
 
         noise: mx.array | None = None
         if self.is_last_stage:

src/exo/worker/engines/mlx/auto_parallel.py

@@ -19,6 +19,8 @@ from mlx_lm.models.deepseek_v32 import DeepseekV32MLP
 from mlx_lm.models.deepseek_v32 import Model as DeepseekV32Model
 from mlx_lm.models.glm4_moe import Model as Glm4MoeModel
 from mlx_lm.models.glm4_moe import MoE
+from mlx_lm.models.glm4_moe_lite import Glm4MoeLiteDecoderLayer, Glm4MoeLiteMLP
+from mlx_lm.models.glm4_moe_lite import Model as GLM4MoeLiteModel
 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
@@ -145,6 +147,10 @@ class PipelineLastLayer(CustomMlxLayer):
             if cache is not None:
                 cache.keys = mx.depends(cache.keys, output)  # type: ignore[reportUnknownMemberType]
 
+        output = mx.distributed.all_gather(output, group=self.group)[
+            -output.shape[0] :
+        ]  # type :ignore
+
         return output
 
 
@@ -252,10 +258,6 @@ def patch_pipeline_model[T](model: T, group: mx.distributed.Group) -> T:
         if cache is not None:
             cache[-1].state = mx.depends(cache[-1].state, logits)  # type: ignore
 
-        logits = mx.distributed.all_gather(logits, group=group)[
-            -logits.shape[0] :
-        ]  # type :ignore
-
         return logits
 
     cls.__call__ = patched_call
@@ -334,15 +336,7 @@ def tensor_auto_parallel(
         group=group,
     )
 
-    if hasattr(model, "shard") and not isinstance(model, GptOssModel):
-        try:
-            model.shard(group)  # type: ignore
-            return patch_tensor_model(model)
-        except (AttributeError, TypeError, NameError):
-            pass
-
     if isinstance(model, (LlamaModel, Ministral3Model)):
-        logger.warning("shouldn't be hit - upstream sharding exists")
         tensor_parallel_sharding_strategy = LlamaShardingStrategy(
             group,
             all_to_sharded_linear,
@@ -351,7 +345,6 @@ def tensor_auto_parallel(
             sharded_to_all_linear_in_place,
         )
     elif isinstance(model, (DeepseekV3Model, DeepseekV32Model)):
-        logger.warning("shouldn't be hit - upstream sharding exists")
         tensor_parallel_sharding_strategy = DeepSeekShardingStrategy(
             group,
             all_to_sharded_linear,
@@ -367,6 +360,14 @@ def tensor_auto_parallel(
             all_to_sharded_linear_in_place,
             sharded_to_all_linear_in_place,
         )
+    elif isinstance(model, GLM4MoeLiteModel):
+        tensor_parallel_sharding_strategy = GLM4MoeLiteShardingStrategy(
+            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,
@@ -441,7 +442,7 @@ class LlamaShardingStrategy(TensorParallelShardingStrategy):
             layer.mlp.gate_proj = self.all_to_sharded_linear(layer.mlp.gate_proj)
             layer.mlp.down_proj = self.sharded_to_all_linear(layer.mlp.down_proj)
             layer.mlp.up_proj = self.all_to_sharded_linear(layer.mlp.up_proj)
-
+            mx.eval(layer)
         return model
 
 
@@ -516,6 +517,8 @@ class DeepSeekShardingStrategy(TensorParallelShardingStrategy):
                 layer.mlp = ShardedDeepseekV3MoE(layer.mlp)  # type: ignore
                 layer.mlp.sharding_group = self.group
 
+            mx.eval(layer)
+
         return model
 
 
@@ -533,6 +536,84 @@ class ShardedDeepseekV3MoE(CustomMlxLayer):
         return y
 
 
+class GLM4MoeLiteShardingStrategy(TensorParallelShardingStrategy):
+    def shard_model(
+        self,
+        model: nn.Module,
+        timeout_seconds: float,
+        on_timeout: TimeoutCallback | None,
+    ) -> nn.Module:
+        model = cast(GLM4MoeLiteModel, model)
+        for layer in model.layers:  # type: ignore
+            layer = cast(Glm4MoeLiteDecoderLayer, layer)
+            eval_with_timeout(
+                layer.parameters(),
+                timeout_seconds / len(model.layers),  # type: ignore
+                on_timeout,
+            )
+            if layer.self_attn.q_lora_rank is None:  # type: ignore
+                layer.self_attn.q_proj = self.all_to_sharded_linear(
+                    layer.self_attn.q_proj
+                )
+            else:
+                layer.self_attn.q_b_proj = self.all_to_sharded_linear(
+                    layer.self_attn.q_b_proj
+                )
+
+            layer.self_attn.o_proj = self.sharded_to_all_linear(layer.self_attn.o_proj)
+            layer.self_attn.num_heads //= self.N
+
+            # Logic from upstream mlx
+            num_heads = layer.self_attn.num_heads
+            sh = self.group.rank() * num_heads
+            eh = sh + num_heads
+
+            def shard_heads(w: mx.array, sh: int = sh, eh: int = eh) -> mx.array:
+                return w[sh:eh]
+
+            layer.self_attn.embed_q.apply(shard_heads)
+            layer.self_attn.unembed_out.apply(shard_heads)
+
+            if isinstance(layer.mlp, Glm4MoeLiteMLP):
+                layer.mlp.gate_proj = self.all_to_sharded_linear(layer.mlp.gate_proj)
+                layer.mlp.down_proj = self.sharded_to_all_linear(layer.mlp.down_proj)
+                layer.mlp.up_proj = self.all_to_sharded_linear(layer.mlp.up_proj)
+
+            else:
+                if getattr(layer.mlp, "shared_experts", None) is not None:
+                    self.all_to_sharded_linear_in_place(
+                        layer.mlp.shared_experts.gate_proj
+                    )
+                    self.sharded_to_all_linear_in_place(
+                        layer.mlp.shared_experts.down_proj
+                    )
+                    self.all_to_sharded_linear_in_place(
+                        layer.mlp.shared_experts.up_proj
+                    )
+                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 = ShardedGLM4MoeLiteMoE(layer.mlp)  # type: ignore
+                layer.mlp.sharding_group = self.group  # type: ignore
+            mx.eval(layer)
+
+        return model
+
+
+class ShardedGLM4MoeLiteMoE(CustomMlxLayer):
+    def __init__(self, layer: _LayerCallable):
+        super().__init__(layer)
+        self.sharding_group: mx.distributed.Group | None = None
+
+    def __call__(self, x: mx.array) -> mx.array:
+        if self.sharding_group is not None:
+            x = sum_gradients(self.sharding_group)(x)
+        y = self.original_layer.__call__(x)
+        if self.sharding_group is not None:
+            y = mx.distributed.all_sum(y, group=self.sharding_group)
+        return y
+
+
 class MiniMaxShardingStrategy(TensorParallelShardingStrategy):
     def shard_model(
         self,
@@ -566,7 +647,7 @@ class MiniMaxShardingStrategy(TensorParallelShardingStrategy):
             )
             layer.block_sparse_moe = ShardedQwenMoE(layer.block_sparse_moe)  # pyright: ignore[reportAttributeAccessIssue, reportArgumentType]
             layer.block_sparse_moe.sharding_group = self.group  # pyright: ignore[reportAttributeAccessIssue]
-
+            mx.eval(layer)
         return model
 
 
@@ -607,6 +688,7 @@ class QwenShardingStrategy(TensorParallelShardingStrategy):
                 layer.mlp.down_proj = self.sharded_to_all_linear(layer.mlp.down_proj)
                 layer.mlp.up_proj = self.all_to_sharded_linear(layer.mlp.up_proj)
 
+            mx.eval(layer)
         return model
 
 
@@ -661,7 +743,7 @@ class GptOssShardingStrategy(TensorParallelShardingStrategy):
 
             layer.mlp = ShardedGptOssMoE(layer.mlp)  # type: ignore
             layer.mlp.sharding_group = self.group  # pyright: ignore[reportAttributeAccessIssue]
-
+            mx.eval(layer)
         return model
 
 

src/exo/worker/engines/mlx/generator/generate.py

@@ -23,6 +23,7 @@ from exo.worker.engines.mlx.constants import KV_BITS, KV_GROUP_SIZE, MAX_TOKENS
 from exo.worker.engines.mlx.utils_mlx import (
     apply_chat_template,
     make_kv_cache,
+    mx_barrier,
 )
 from exo.worker.runner.bootstrap import logger
 
@@ -89,6 +90,10 @@ def warmup_inference(
 
     logger.info("Generated ALL warmup tokens")
 
+    # TODO: Do we want an mx_barrier?
+    #  At least this version is actively incorrect, as it should use mx_barrier(group)
+    mx_barrier()
+
     return tokens_generated
 
 
@@ -181,3 +186,5 @@ def mlx_generate(
 
         if out.finish_reason is not None:
             break
+
+        # TODO: Do we want an mx_barrier?

src/exo/worker/engines/mlx/utils_mlx.py

@@ -70,6 +70,8 @@ Group = mx.distributed.Group
 resource.setrlimit(resource.RLIMIT_NOFILE, (2048, 4096))
 
 
+# TODO: Test this
+#  ALSO https://github.com/exo-explore/exo/pull/233#discussion_r2549683673
 def get_weights_size(model_shard_meta: ShardMetadata) -> Memory:
     return Memory.from_float_kb(
         (model_shard_meta.end_layer - model_shard_meta.start_layer)
@@ -87,6 +89,30 @@ class ModelLoadingTimeoutError(Exception):
     pass
 
 
+def mx_barrier(group: Group | None = None):
+    mx.eval(
+        mx.distributed.all_sum(
+            mx.array(1.0),
+            stream=mx.default_stream(mx.Device(mx.cpu)),
+            group=group,
+        )
+    )
+
+
+def broadcast_from_zero(value: int, group: Group | None = None):
+    if group is None:
+        return value
+
+    if group.rank() == 0:
+        a = mx.array([value], dtype=mx.int32)
+    else:
+        a = mx.array([0], dtype=mx.int32)
+
+    m = mx.distributed.all_sum(a, stream=mx.Device(mx.DeviceType.cpu), group=group)
+    mx.eval(m)
+    return int(m.item())
+
+
 class HostList(RootModel[list[str]]):
     @classmethod
     def from_hosts(cls, hosts: list[Host]) -> "HostList":
@@ -144,10 +170,10 @@ def mlx_distributed_init(
 
                 # TODO: update once upstream fixes
                 logger.info(
-                    f"rank {rank} MLX_JACCL_DEVICES: {coordination_file} with devices: {jaccl_devices_json}"
+                    f"rank {rank} MLX_IBV_DEVICES: {coordination_file} with devices: {jaccl_devices_json}"
                 )
                 logger.info(f"rank {rank} MLX_JACCL_COORDINATOR: {jaccl_coordinator}")
-                os.environ["MLX_JACCL_DEVICES"] = coordination_file
+                os.environ["MLX_IBV_DEVICES"] = coordination_file
                 os.environ["MLX_RANK"] = str(rank)
                 os.environ["MLX_JACCL_COORDINATOR"] = jaccl_coordinator
                 group = mx.distributed.init(backend="jaccl", strict=True)
@@ -379,7 +405,11 @@ def apply_chat_template(
                 continue
 
             message.content = "\n".join(c.text for c in message.content).strip()
-        if message.content is None and message.thinking is None:
+        if (
+            message.content is None
+            and message.thinking is None
+            and message.tool_calls is None
+        ):
             continue
 
         # Null values are not valid when applying templates in tokenizer
@@ -510,23 +540,3 @@ def mlx_cleanup(
     import gc
 
     gc.collect()
-
-
-def mx_any(bool_: bool, group: Group | None) -> bool:
-    if group is None:
-        return bool_
-    num_true = mx.distributed.all_sum(
-        mx.array(bool_), group=group, stream=mx.default_stream(mx.Device(mx.cpu))
-    )
-    mx.eval(num_true)
-    return num_true.item() > 0
-
-
-def mx_barrier(group: Group | None):
-    if group is None:
-        return
-    mx.eval(
-        mx.distributed.all_sum(
-            mx.array(1.0), group=group, stream=mx.default_stream(mx.Device(mx.cpu))
-        )
-    )

src/exo/worker/main.py

@@ -33,7 +33,6 @@ from exo.shared.types.events import (
 from exo.shared.types.multiaddr import Multiaddr
 from exo.shared.types.state import State
 from exo.shared.types.tasks import (
-    CancelTask,
     CreateRunner,
     DownloadModel,
     ImageEdits,
@@ -116,9 +115,8 @@ class Worker:
         self.local_event_sender.close()
         self.command_sender.close()
         self.download_command_sender.close()
-        async with create_task_group() as tg:
-            for runner in self.runners.values():
-                tg.start_soon(runner.shutdown)
+        for runner in self.runners.values():
+            runner.shutdown()
 
     async def _forward_info(self, recv: Receiver[GatheredInfo]):
         with recv as info_stream:
@@ -222,22 +220,15 @@ class Worker:
                         )
                     )
                 case Shutdown(runner_id=runner_id):
-                    runner = self.runners.pop(runner_id)
                     try:
                         with fail_after(3):
-                            await runner.start_task(task)
+                            await self.runners.pop(runner_id).start_task(task)
                     except TimeoutError:
                         await self.event_sender.send(
                             TaskStatusUpdated(
                                 task_id=task.task_id, task_status=TaskStatus.TimedOut
                             )
                         )
-                    finally:
-                        await runner.shutdown()
-                case CancelTask(cancelled_task_id=cancelled_task_id):
-                    await self.runners[self._task_to_runner_id(task)].cancel_task(
-                        cancelled_task_id
-                    )
                 case ImageEdits() if task.task_params.total_input_chunks > 0:
                     # Assemble image from chunks and inject into task
                     cmd_id = task.command_id
@@ -360,6 +351,8 @@ class Worker:
             for event in self.out_for_delivery.copy().values():
                 await self.local_event_sender.send(event)
 
+    ## Op Executors
+
     def _create_supervisor(self, task: CreateRunner) -> RunnerSupervisor:
         """Creates and stores a new AssignedRunner with initial downloading status."""
         runner = RunnerSupervisor.create(

src/exo/worker/plan.py

@@ -4,7 +4,6 @@ from collections.abc import Mapping, Sequence
 
 from exo.shared.types.common import CommandId, NodeId
 from exo.shared.types.tasks import (
-    CancelTask,
     ChatCompletion,
     ConnectToGroup,
     CreateRunner,
@@ -60,8 +59,7 @@ def plan(
         or _init_distributed_backend(runners, all_runners)
         or _load_model(runners, all_runners, global_download_status)
         or _ready_to_warmup(runners, all_runners)
-        or _cancel_tasks(runners, tasks)
-        or _pending_tasks(runners, tasks, all_runners, input_chunk_buffer or {})
+        or _pending_tasks(runners, tasks, all_runners, input_chunk_buffer)
     )
 
 
@@ -272,7 +270,7 @@ def _pending_tasks(
     runners: Mapping[RunnerId, RunnerSupervisor],
     tasks: Mapping[TaskId, Task],
     all_runners: Mapping[RunnerId, RunnerStatus],
-    input_chunk_buffer: Mapping[CommandId, dict[int, str]],
+    input_chunk_buffer: Mapping[CommandId, dict[int, str]] | None = None,
 ) -> Task | None:
     for task in tasks.values():
         # for now, just forward chat completions
@@ -286,7 +284,7 @@ def _pending_tasks(
         if isinstance(task, ImageEdits) and task.task_params.total_input_chunks > 0:
             cmd_id = task.command_id
             expected = task.task_params.total_input_chunks
-            received = len(input_chunk_buffer.get(cmd_id, {}))
+            received = len((input_chunk_buffer or {}).get(cmd_id, {}))
             if received < expected:
                 continue  # Wait for all chunks to arrive
 
@@ -294,31 +292,16 @@ def _pending_tasks(
             if task.instance_id != runner.bound_instance.instance.instance_id:
                 continue
 
-            # the task status _should_ be set to completed by the LAST runner
-            # it is currently set by the first
-            # this is definitely a hack
+            # I have a design point here; this is a state race in disguise as the task status doesn't get updated to completed fast enough
+            # however, realistically the task status should be set to completed by the LAST runner, so this is a true race
+            # the actual solution is somewhat deeper than this bypass - TODO!
             if task.task_id in runner.completed:
                 continue
 
+            # TODO: Check ordering aligns with MLX distributeds expectations.
+
             if isinstance(runner.status, RunnerReady) and all(
                 isinstance(all_runners[global_runner_id], (RunnerReady, RunnerRunning))
                 for global_runner_id in runner.bound_instance.instance.shard_assignments.runner_to_shard
             ):
                 return task
-
-
-def _cancel_tasks(
-    runners: Mapping[RunnerId, RunnerSupervisor],
-    tasks: Mapping[TaskId, Task],
-) -> Task | None:
-    for task in tasks.values():
-        if task.task_status != TaskStatus.Cancelled:
-            continue
-        for runner in runners.values():
-            if task.instance_id != runner.bound_instance.instance.instance_id:
-                continue
-            if task.task_id in runner.cancelled:
-                continue
-            return CancelTask(
-                instance_id=task.instance_id, cancelled_task_id=task.task_id
-            )

src/exo/worker/runner/bootstrap.py

@@ -3,7 +3,7 @@ import os
 import loguru
 
 from exo.shared.types.events import Event, RunnerStatusUpdated
-from exo.shared.types.tasks import Task, TaskId
+from exo.shared.types.tasks import Task
 from exo.shared.types.worker.instances import BoundInstance, MlxJacclInstance
 from exo.shared.types.worker.runners import RunnerFailed
 from exo.utils.channels import ClosedResourceError, MpReceiver, MpSender
@@ -15,7 +15,6 @@ def entrypoint(
     bound_instance: BoundInstance,
     event_sender: MpSender[Event],
     task_receiver: MpReceiver[Task],
-    cancel_receiver: MpReceiver[TaskId],
     _logger: "loguru.Logger",
 ) -> None:
     fast_synch_override = os.environ.get("EXO_FAST_SYNCH")
@@ -39,7 +38,7 @@ def entrypoint(
     try:
         from exo.worker.runner.runner import main
 
-        main(bound_instance, event_sender, task_receiver, cancel_receiver)
+        main(bound_instance, event_sender, task_receiver)
     except ClosedResourceError:
         logger.warning("Runner communication closed unexpectedly")
     except Exception as e:

src/exo/worker/runner/runner.py

@@ -37,7 +37,6 @@ from exo.shared.types.tasks import (
     Shutdown,
     StartWarmup,
     Task,
-    TaskId,
     TaskStatus,
 )
 from exo.shared.types.worker.instances import BoundInstance
@@ -78,7 +77,6 @@ from exo.worker.engines.mlx.utils_mlx import (
     initialize_mlx,
     load_mlx_items,
     mlx_force_oom,
-    mx_any,
 )
 from exo.worker.runner.bootstrap import logger
 
@@ -87,7 +85,6 @@ def main(
     bound_instance: BoundInstance,
     event_sender: MpSender[Event],
     task_receiver: MpReceiver[Task],
-    cancel_receiver: MpReceiver[TaskId],
 ):
     instance, runner_id, shard_metadata = (
         bound_instance.instance,
@@ -102,11 +99,8 @@ def main(
         time.sleep(timeout)
 
     setup_start_time = time.time()
-    cancelled_tasks = set[TaskId]()
 
-    # type checker was unhappy with me - splitting these fixed it
-    inference_model: Model | None = None
-    image_model: DistributedImageModel | None = None
+    model: Model | DistributedImageModel | None = None
     tokenizer = None
     group = None
 
@@ -117,7 +111,6 @@ def main(
     )
     with task_receiver as tasks:
         for task in tasks:
-            cancelled_tasks.discard(TaskId("CANCEL_CURRENT_TASK"))
             event_sender.send(
                 TaskStatusUpdated(task_id=task.task_id, task_status=TaskStatus.Running)
             )
@@ -162,7 +155,7 @@ def main(
                         time.sleep(0.5)
 
                     if ModelTask.TextGeneration in shard_metadata.model_card.tasks:
-                        inference_model, tokenizer = load_mlx_items(
+                        model, tokenizer = load_mlx_items(
                             bound_instance, group, on_timeout=on_model_load_timeout
                         )
                         logger.info(
@@ -172,7 +165,7 @@ def main(
                         ModelTask.TextToImage in shard_metadata.model_card.tasks
                         or ModelTask.ImageToImage in shard_metadata.model_card.tasks
                     ):
-                        image_model = initialize_image_model(bound_instance)
+                        model = initialize_image_model(bound_instance)
                     else:
                         raise ValueError(
                             f"Unknown model task(s): {shard_metadata.model_card.tasks}"
@@ -181,6 +174,8 @@ def main(
                     current_status = RunnerLoaded()
                     logger.info("runner loaded")
                 case StartWarmup() if isinstance(current_status, RunnerLoaded):
+                    assert model
+
                     current_status = RunnerWarmingUp()
                     logger.info("runner warming up")
                     event_sender.send(
@@ -191,11 +186,11 @@ def main(
 
                     logger.info(f"warming up inference for instance: {instance}")
                     if ModelTask.TextGeneration in shard_metadata.model_card.tasks:
-                        assert inference_model
+                        assert not isinstance(model, DistributedImageModel)
                         assert tokenizer
 
                         toks = warmup_inference(
-                            model=inference_model,
+                            model=model,
                             tokenizer=tokenizer,
                             # kv_prefix_cache=kv_prefix_cache,  # supply for warmup-time prefix caching
                         )
@@ -207,8 +202,8 @@ def main(
                         ModelTask.TextToImage in shard_metadata.model_card.tasks
                         or ModelTask.ImageToImage in shard_metadata.model_card.tasks
                     ):
-                        assert image_model
-                        image = warmup_image_generator(model=image_model)
+                        assert isinstance(model, DistributedImageModel)
+                        image = warmup_image_generator(model=model)
                         if image is not None:
                             logger.info(f"warmed up by generating {image.size} image")
                         else:
@@ -227,7 +222,7 @@ def main(
                             runner_id=runner_id, runner_status=current_status
                         )
                     )
-                    assert inference_model
+                    assert model and not isinstance(model, DistributedImageModel)
                     assert tokenizer
                     assert task_params.messages[0].content is not None
 
@@ -239,7 +234,7 @@ def main(
 
                         # Generate responses using the actual MLX generation
                         mlx_generator = mlx_generate(
-                            model=inference_model,
+                            model=model,
                             tokenizer=tokenizer,
                             task=task_params,
                             prompt=prompt,
@@ -262,11 +257,11 @@ def main(
                             patch_glm_tokenizer(tokenizer)
 
                         # GPT-OSS specific parsing to match other model formats.
-                        elif isinstance(inference_model, GptOssModel):
+                        elif isinstance(model, GptOssModel):
                             mlx_generator = parse_gpt_oss(mlx_generator)
 
                         if tokenizer.has_tool_calling and not isinstance(
-                            inference_model, GptOssModel
+                            model, GptOssModel
                         ):
                             assert tokenizer.tool_call_start
                             assert tokenizer.tool_call_end
@@ -278,19 +273,7 @@ def main(
                                 tokenizer.tool_parser,  # pyright: ignore[reportAny]
                             )
 
-                        cancel_every = 5
-                        tokens_since_last_cancel_check = 0
                         for response in mlx_generator:
-                            tokens_since_last_cancel_check += 1
-                            if tokens_since_last_cancel_check >= cancel_every:
-                                tokens_since_last_cancel_check = 0
-                                cancelled_tasks.update(cancel_receiver.collect())
-                                want_to_cancel = (task.task_id in cancelled_tasks) or (
-                                    TaskId("CANCEL_CURRENT_TASK") in cancelled_tasks
-                                )
-                                if mx_any(want_to_cancel, group):
-                                    break
-
                             match response:
                                 case GenerationResponse():
                                     if (
@@ -354,16 +337,11 @@ def main(
 
                     current_status = RunnerReady()
                     logger.info("runner ready")
-                case ImageGeneration() | ImageEdits() if isinstance(
-                    current_status, RunnerReady
-                ):
-                    assert image_model
-                    task_name = (
-                        "image generation"
-                        if isinstance(task, ImageGeneration)
-                        else "image edits"
-                    )
-                    logger.info(f"received {task_name} request: {str(task)[:500]}")
+                case ImageGeneration(
+                    task_params=task_params, command_id=command_id
+                ) if isinstance(current_status, RunnerReady):
+                    assert isinstance(model, DistributedImageModel)
+                    logger.info(f"received image generation request: {str(task)[:500]}")
                     current_status = RunnerRunning()
                     logger.info("runner running")
                     event_sender.send(
@@ -373,19 +351,100 @@ def main(
                     )
 
                     try:
-                        _run_image_task(
-                            task=task,
-                            image_model=image_model,
-                            shard_metadata=shard_metadata,
-                            event_sender=event_sender,
-                            cancel_receiver=cancel_receiver,
-                            cancelled_tasks=cancelled_tasks,
-                        )
+                        # Generate images using the image generation backend
+                        # Track image_index for final images only
+                        image_index = 0
+                        for response in generate_image(model=model, task=task_params):
+                            if (
+                                shard_metadata.device_rank
+                                == shard_metadata.world_size - 1
+                            ):
+                                match response:
+                                    case PartialImageResponse():
+                                        logger.info(
+                                            f"sending partial ImageChunk {response.partial_index}/{response.total_partials}"
+                                        )
+                                        _process_image_response(
+                                            response,
+                                            command_id,
+                                            shard_metadata,
+                                            event_sender,
+                                            image_index,
+                                        )
+                                    case ImageGenerationResponse():
+                                        logger.info("sending final ImageChunk")
+                                        _process_image_response(
+                                            response,
+                                            command_id,
+                                            shard_metadata,
+                                            event_sender,
+                                            image_index,
+                                        )
+                                        image_index += 1
+                    # can we make this more explicit?
                     except Exception as e:
                         if shard_metadata.device_rank == shard_metadata.world_size - 1:
                             event_sender.send(
                                 ChunkGenerated(
-                                    command_id=task.command_id,
+                                    command_id=command_id,
+                                    chunk=ErrorChunk(
+                                        model=shard_metadata.model_card.model_id,
+                                        finish_reason="error",
+                                        error_message=str(e),
+                                    ),
+                                )
+                            )
+                        raise
+
+                    current_status = RunnerReady()
+                    logger.info("runner ready")
+                case ImageEdits(task_params=task_params, command_id=command_id) if (
+                    isinstance(current_status, RunnerReady)
+                ):
+                    assert isinstance(model, DistributedImageModel)
+                    logger.info(f"received image edits request: {str(task)[:500]}")
+                    current_status = RunnerRunning()
+                    logger.info("runner running")
+                    event_sender.send(
+                        RunnerStatusUpdated(
+                            runner_id=runner_id, runner_status=current_status
+                        )
+                    )
+
+                    try:
+                        image_index = 0
+                        for response in generate_image(model=model, task=task_params):
+                            if (
+                                shard_metadata.device_rank
+                                == shard_metadata.world_size - 1
+                            ):
+                                match response:
+                                    case PartialImageResponse():
+                                        logger.info(
+                                            f"sending partial ImageChunk {response.partial_index}/{response.total_partials}"
+                                        )
+                                        _process_image_response(
+                                            response,
+                                            command_id,
+                                            shard_metadata,
+                                            event_sender,
+                                            image_index,
+                                        )
+                                    case ImageGenerationResponse():
+                                        logger.info("sending final ImageChunk")
+                                        _process_image_response(
+                                            response,
+                                            command_id,
+                                            shard_metadata,
+                                            event_sender,
+                                            image_index,
+                                        )
+                                        image_index += 1
+                    except Exception as e:
+                        if shard_metadata.device_rank == shard_metadata.world_size - 1:
+                            event_sender.send(
+                                ChunkGenerated(
+                                    command_id=command_id,
                                     chunk=ErrorChunk(
                                         model=shard_metadata.model_card.model_id,
                                         finish_reason="error",
@@ -417,7 +476,7 @@ def main(
                 RunnerStatusUpdated(runner_id=runner_id, runner_status=current_status)
             )
             if isinstance(current_status, RunnerShutdown):
-                del inference_model, image_model, tokenizer, group
+                del model, tokenizer, group
                 mx.clear_cache()
                 import gc
 
@@ -526,54 +585,6 @@ def parse_thinking_models(
         yield response
 
 
-def _run_image_task(
-    task: ImageGeneration | ImageEdits,
-    image_model: DistributedImageModel,
-    shard_metadata: ShardMetadata,
-    event_sender: MpSender[Event],
-    cancel_receiver: MpReceiver[TaskId],
-    cancelled_tasks: set[TaskId],
-) -> None:
-    task_id = task.task_id
-    command_id = task.command_id
-
-    def check_cancelled(task_id: TaskId = task_id) -> bool:
-        cancelled_tasks.update(cancel_receiver.collect())
-        return (task_id in cancelled_tasks) or (
-            TaskId("CANCEL_CURRENT_TASK") in cancelled_tasks
-        )
-
-    image_index = 0
-    for response in generate_image(
-        model=image_model,
-        task=task.task_params,
-        cancel_checker=check_cancelled,
-    ):
-        if shard_metadata.device_rank == shard_metadata.world_size - 1:
-            match response:
-                case PartialImageResponse():
-                    logger.info(
-                        f"sending partial ImageChunk {response.partial_index}/{response.total_partials}"
-                    )
-                    _process_image_response(
-                        response,
-                        command_id,
-                        shard_metadata,
-                        event_sender,
-                        image_index,
-                    )
-                case ImageGenerationResponse():
-                    logger.info("sending final ImageChunk")
-                    _process_image_response(
-                        response,
-                        command_id,
-                        shard_metadata,
-                        event_sender,
-                        image_index,
-                    )
-                    image_index += 1
-
-
 def _send_image_chunk(
     encoded_data: str,
     command_id: CommandId,

src/exo/worker/runner/runner_supervisor.py

@@ -49,12 +49,10 @@ class RunnerSupervisor:
     _ev_recv: MpReceiver[Event]
     _task_sender: MpSender[Task]
     _event_sender: Sender[Event]
-    _cancel_sender: MpSender[TaskId]
-    _tg: TaskGroup = field(default_factory=create_task_group, init=False)
+    _tg: TaskGroup | None = field(default=None, init=False)
     status: RunnerStatus = field(default_factory=RunnerIdle, init=False)
     pending: dict[TaskId, anyio.Event] = field(default_factory=dict, init=False)
     completed: set[TaskId] = field(default_factory=set, init=False)
-    cancelled: set[TaskId] = field(default_factory=set, init=False)
 
     @classmethod
     def create(
@@ -65,8 +63,8 @@ class RunnerSupervisor:
         initialize_timeout: float = 400,
     ) -> Self:
         ev_send, ev_recv = mp_channel[Event]()
+        # A task is kind of a runner command
         task_sender, task_recv = mp_channel[Task]()
-        cancel_sender, cancel_recv = mp_channel[TaskId]()
 
         runner_process = Process(
             target=entrypoint,
@@ -74,7 +72,6 @@ class RunnerSupervisor:
                 bound_instance,
                 ev_send,
                 task_recv,
-                cancel_recv,
                 logger,
             ),
             daemon=True,
@@ -89,7 +86,6 @@ class RunnerSupervisor:
             initialize_timeout=initialize_timeout,
             _ev_recv=ev_recv,
             _task_sender=task_sender,
-            _cancel_sender=cancel_sender,
             _event_sender=event_sender,
         )
 
@@ -97,41 +93,37 @@ class RunnerSupervisor:
 
     async def run(self):
         self.runner_process.start()
-        async with self._tg as tg:
+        async with create_task_group() as tg:
+            self._tg = tg
             tg.start_soon(self._forward_events)
 
-        with anyio.CancelScope(shield=True), contextlib.suppress(ClosedResourceError):
-            await self._cancel_sender.send_async(TaskId("CANCEL_CURRENT_TASK"))
+        self._ev_recv.close()
+        self._task_sender.close()
+        self._event_sender.close()
+        await to_thread.run_sync(self.runner_process.join, 30)
+        if not self.runner_process.is_alive():
+            return
 
-            self._ev_recv.close()
-            self._task_sender.close()
-            self._event_sender.close()
-            self._cancel_sender.close()
+        # This is overkill but it's not technically bad, just unnecessary.
+        logger.warning("Runner process didn't shutdown succesfully, terminating")
+        self.runner_process.terminate()
+        await to_thread.run_sync(self.runner_process.join, 5)
+        if not self.runner_process.is_alive():
+            return
 
-            await to_thread.run_sync(self.runner_process.join, 10)
-            if not self.runner_process.is_alive():
-                return
+        logger.critical("Runner process didn't respond to SIGTERM, killing")
+        self.runner_process.kill()
 
-            # This is overkill but it's not technically bad, just unnecessary.
-            logger.warning("Runner process didn't shutdown succesfully, terminating")
-            self.runner_process.terminate()
-            await to_thread.run_sync(self.runner_process.join, 5)
-            if not self.runner_process.is_alive():
-                return
+        await to_thread.run_sync(self.runner_process.join, 5)
+        if not self.runner_process.is_alive():
+            return
 
-            logger.critical("Runner process didn't respond to SIGTERM, killing")
-            self.runner_process.kill()
+        logger.critical(
+            "Runner process didn't respond to SIGKILL. System resources may have leaked"
+        )
 
-            await to_thread.run_sync(self.runner_process.join, 5)
-            if not self.runner_process.is_alive():
-                return
-
-            logger.critical(
-                "Runner process didn't respond to SIGKILL. System resources may have leaked"
-            )
-
-    async def shutdown(self):
-        await self._cancel_sender.send_async(TaskId("CANCEL_CURRENT_TASK"))
+    def shutdown(self):
+        assert self._tg
         self._tg.cancel_scope.cancel()
 
     async def start_task(self, task: Task):
@@ -139,7 +131,6 @@ class RunnerSupervisor:
             logger.info(
                 f"Skipping invalid task {task} as it has already been completed"
             )
-            return
         logger.info(f"Starting task {task}")
         event = anyio.Event()
         self.pending[task.task_id] = event
@@ -149,13 +140,7 @@ class RunnerSupervisor:
             logger.warning(f"Task {task} dropped, runner closed communication.")
             return
         await event.wait()
-
-    async def cancel_task(self, task_id: TaskId):
-        if task_id in self.completed:
-            logger.info(f"Unable to cancel {task_id} as it has been completed")
-            return
-        self.cancelled.add(task_id)
-        await self._cancel_sender.send_async(task_id)
+        logger.info(f"Finished task {task}")
 
     async def _forward_events(self):
         with self._ev_recv as events:
@@ -221,4 +206,4 @@ class RunnerSupervisor:
                 runner_status=RunnerFailed(error_message=f"Terminated ({cause})"),
             )
         )
-        await self.shutdown()
+        self.shutdown()

uv.lock

@@ -376,8 +376,8 @@ dependencies = [
     { name = "hypercorn", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "mflux", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "mlx", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "mlx", extra = ["cpu"], marker = "sys_platform == 'linux'" },
+    { name = "mlx", version = "0.30.3", source = { registry = "https://pypi.org/simple" }, extra = ["cpu"], marker = "sys_platform == 'linux'" },
+    { name = "mlx", version = "0.30.4.dev20260121+fbe306f9", source = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git#fbe306f92a47d9b887ee7af2e3af6f1b9e28e663" }, marker = "sys_platform == 'darwin'" },
     { name = "mlx-lm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "openai-harmony", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -412,10 +412,10 @@ requires-dist = [
     { name = "huggingface-hub", specifier = ">=0.33.4" },
     { name = "hypercorn", specifier = ">=0.18.0" },
     { name = "loguru", specifier = ">=0.7.3" },
+    { name = "mlx", marker = "sys_platform == 'darwin'", git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git" },
     { name = "mflux", specifier = "==0.15.4" },
-    { name = "mlx", marker = "sys_platform == 'darwin'", specifier = "==0.30.3" },
     { name = "mlx", extras = ["cpu"], marker = "sys_platform == 'linux'", specifier = "==0.30.3" },
-    { name = "mlx-lm", git = "https://github.com/AlexCheema/mlx-lm.git?rev=fix-transformers-5.0.0rc2" },
+    { name = "mlx-lm", specifier = "==0.30.5" },
     { name = "openai-harmony", specifier = ">=0.0.8" },
     { name = "pillow", specifier = ">=11.0,<12.0" },
     { name = "psutil", specifier = ">=7.0.0" },
@@ -994,8 +994,8 @@ dependencies = [
     { name = "fonttools", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "matplotlib", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "mlx", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "mlx", extra = ["cuda13"], marker = "sys_platform == 'linux'" },
+    { name = "mlx", version = "0.30.3", source = { registry = "https://pypi.org/simple" }, extra = ["cuda13"], marker = "sys_platform == 'linux'" },
+    { name = "mlx", version = "0.30.4.dev20260121+fbe306f9", source = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git#fbe306f92a47d9b887ee7af2e3af6f1b9e28e663" }, marker = "sys_platform == 'darwin'" },
     { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "opencv-python", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "piexif", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -1022,18 +1022,12 @@ wheels = [
 name = "mlx"
 version = "0.30.3"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "mlx-metal", marker = "sys_platform == 'darwin'" },
+resolution-markers = [
+    "sys_platform == 'linux'",
 ]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d0/22/42935d593fe82d3b98eb9d60e4620ed99703886635106f89d407c68f33bc/mlx-0.30.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:743fac1e4f9e8e46c8262943c643a31139c255cdb256c99ad496958215ccac1e", size = 569344, upload-time = "2026-01-14T01:16:54.847Z" },
-    { url = "https://files.pythonhosted.org/packages/7d/27/f2e7a5236289d45315d0215e8553b4dd7e2faaba3bcb5025b34b25d5ab66/mlx-0.30.3-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:3b04ae81655aa0e63a6e8f2c749de3bbce64cf5b168ae10f39ed086dfa99e7f8", size = 569345, upload-time = "2026-01-14T01:16:56.564Z" },
-    { url = "https://files.pythonhosted.org/packages/01/41/06b042457f51952456e9bb46b2c6e205ab3a28fc52d6751b5787fdb762b2/mlx-0.30.3-cp313-cp313-macosx_26_0_arm64.whl", hash = "sha256:ba9b5bdb1e929cc130af72efd7f73508c0f4e526d224489af7ec1c6419564659", size = 569213, upload-time = "2026-01-14T05:52:10.86Z" },
     { url = "https://files.pythonhosted.org/packages/ec/1e/f62c98fc0d2d878ee4235671f9d406b13cc9240493ba6fcfde2f72c2ff83/mlx-0.30.3-cp313-cp313-manylinux_2_35_aarch64.whl", hash = "sha256:dfe5c5b64e55398a22100804abbf9681996b03129e720e36b1727ed704db12b5", size = 617309, upload-time = "2026-01-14T01:16:57.58Z" },
     { url = "https://files.pythonhosted.org/packages/e9/62/811f064693449de740350d27793ce39343a460305ec8d878c318b80921d0/mlx-0.30.3-cp313-cp313-manylinux_2_35_x86_64.whl", hash = "sha256:a3364924610929936e6aaf13c71106161258e5a5d3f7813a64c07cc2435f9f55", size = 659521, upload-time = "2026-01-14T01:16:58.719Z" },
-    { url = "https://files.pythonhosted.org/packages/82/e2/6e551bd48fb350fbf0ee4cc5cd09485437d260b8f4937f22d8623e14687a/mlx-0.30.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:2c27fd8daaae14ca6cf407fcd236006a6e968f7708c8f61a2709116f2e754852", size = 571920, upload-time = "2026-01-14T01:16:59.683Z" },
-    { url = "https://files.pythonhosted.org/packages/82/c0/561d1c9d3d12830b0e7fdcbd807585ef20909e398d4bcdbf25e4367543eb/mlx-0.30.3-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:b755fd4ed4b6a2ae4dee3766b5a2ea52fcbe83ebd1cf018458e18b74139409f3", size = 571921, upload-time = "2026-01-14T01:17:00.868Z" },
-    { url = "https://files.pythonhosted.org/packages/42/1a/fb573fc2edc22a777fa254ff5c0c886ffd2c88aeb1f21c45778ef170f990/mlx-0.30.3-cp314-cp314-macosx_26_0_arm64.whl", hash = "sha256:7e352c0369a2f7e54d4f317b434eab3333918ea9edde1c43c61d36386b6f76bf", size = 571732, upload-time = "2026-01-14T05:52:11.893Z" },
     { url = "https://files.pythonhosted.org/packages/9e/db/d0083e8f2205b3b2dcd9670eb6f0d6c1b7cbfea6b01a1f8bff39142edf44/mlx-0.30.3-cp314-cp314-manylinux_2_35_aarch64.whl", hash = "sha256:00ac867f3d003c1477a66a579442c2040ba7ea43ce3c174490d1f8bf379606bd", size = 619635, upload-time = "2026-01-14T01:17:01.812Z" },
     { url = "https://files.pythonhosted.org/packages/ab/90/ab0b93ff0e76da4fe0e878722c76a308cfb950b044a4676e9617276d8ccd/mlx-0.30.3-cp314-cp314-manylinux_2_35_x86_64.whl", hash = "sha256:5be7d0329036f09c6ed003ea3e307e97e3144f20a3e4711b01810d7d5013cf2c", size = 659652, upload-time = "2026-01-14T01:17:02.915Z" },
 ]
@@ -1046,6 +1040,14 @@ cuda13 = [
     { name = "mlx-cuda-13", marker = "sys_platform == 'linux'" },
 ]
 
+[[package]]
+name = "mlx"
+version = "0.30.4.dev20260121+fbe306f9"
+source = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git#fbe306f92a47d9b887ee7af2e3af6f1b9e28e663" }
+resolution-markers = [
+    "sys_platform == 'darwin'",
+]
+
 [[package]]
 name = "mlx-cpu"
 version = "0.30.3"
@@ -1072,26 +1074,20 @@ wheels = [
 
 [[package]]
 name = "mlx-lm"
-version = "0.30.4"
-source = { git = "https://github.com/AlexCheema/mlx-lm.git?rev=fix-transformers-5.0.0rc2#a5daf2b894f31793dfaef0fdf9bc3ed683176ad6" }
+version = "0.30.5"
+source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jinja2", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "mlx", marker = "sys_platform == 'darwin'" },
+    { name = "mlx", version = "0.30.4.dev20260121+fbe306f9", source = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git#fbe306f92a47d9b887ee7af2e3af6f1b9e28e663" }, marker = "sys_platform == 'darwin'" },
     { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "protobuf", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "sentencepiece", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-
-[[package]]
-name = "mlx-metal"
-version = "0.30.3"
-source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/90/4469d9f75f196e6255f59a89441abe0079925d30a001462e1c1c4bc4e6a1/mlx_lm-0.30.5.tar.gz", hash = "sha256:9e6cb258c65b766c6af25cb90958aef40acab67139f05839eef19864cb3154f6", size = 262367, upload-time = "2026-01-25T15:29:30.125Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f6/63/4d8f6fefb507c028df4454dabfe8d8e0ad2961bb06510b6aca23d2d5b2be/mlx_metal-0.30.3-py3-none-macosx_14_0_arm64.whl", hash = "sha256:6276312b02353714c7c6515169569fe1c4bebe3229c8ecf1fdb375a13e78c966", size = 37716245, upload-time = "2026-01-14T01:16:34.838Z" },
-    { url = "https://files.pythonhosted.org/packages/35/91/1d452e48a4bb4958844fd3bb28ae31b8de110549c009ebec5024ce27ebf3/mlx_metal-0.30.3-py3-none-macosx_15_0_arm64.whl", hash = "sha256:c096c0a3428f3f96a06220f97a36f9528b18bc05173f821eb05bc8458e723fa8", size = 37712125, upload-time = "2026-01-14T01:16:38.619Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/36/7a3cbca85542b5ca4faf871e35927f43aa0e3fc830ae5b699780fe723677/mlx_metal-0.30.3-py3-none-macosx_26_0_arm64.whl", hash = "sha256:69068533bd1ee8b0379ce5de57ed5fd313577a10ecab58e1332fd1ff7248a75e", size = 46488962, upload-time = "2026-01-14T05:52:04.523Z" },
+    { url = "https://files.pythonhosted.org/packages/89/ba/66db6e1e5f1ef506655b562932f6bd8f72600116d5f31f92d71c1f200b3f/mlx_lm-0.30.5-py3-none-any.whl", hash = "sha256:a80bc8e3efdebe81813b0f6eb403fb66a7a15071e256f4e7102ada986acb75bb", size = 366716, upload-time = "2026-01-25T15:29:28.29Z" },
 ]
 
 [[package]]
@@ -2281,7 +2277,7 @@ wheels = [
 
 [[package]]
 name = "transformers"
-version = "5.0.0rc2"
+version = "5.0.0rc3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "filelock", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -2296,9 +2292,9 @@ dependencies = [
     { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "typer-slim", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/94/e2/86b1bd5264272953370a5e50a91da38d7a53a87c5faf3fd3ff62d7353879/transformers-5.0.0rc2.tar.gz", hash = "sha256:9f2fa5e132433dd7eb910dc224b32de0baf758f3b6ffc918dbb632e0af85c07a", size = 8362532, upload-time = "2026-01-07T16:58:02.603Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/3f/a3/7c116a8d85f69ea7749cf4c2df79e64c35d028e5fc7ea0168f299d03b8c7/transformers-5.0.0rc3.tar.gz", hash = "sha256:a0315b92b7e087617ade42ec9e6e92ee7620541cc5d6a3331886c52cbe306f5c", size = 8388520, upload-time = "2026-01-14T16:49:02.952Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b4/eb/9526a77354a2126f5b220f4792dc8494d573773c098dac6a5ad1fc7a5f17/transformers-5.0.0rc2-py3-none-any.whl", hash = "sha256:f8f2a14060ab11f20a0eec39d827af54c1589c327c5799d82808ae3f4167418a", size = 10067329, upload-time = "2026-01-07T16:57:59.617Z" },
+    { url = "https://files.pythonhosted.org/packages/1e/f2/ae2b8968764253bdf38a48dee3c299b8d0bedf7c8ffbe3449fca9bd95338/transformers-5.0.0rc3-py3-none-any.whl", hash = "sha256:383fad27f4f73092d330e45fae384681e5c8521e1dc1cf6cb1a297780e68bf2d", size = 10107087, upload-time = "2026-01-14T16:48:59.393Z" },
 ]
 
 [[package]]