Merge branch 'main' into fix/windows-setup-no-gpu

README.md

@@ -44,13 +44,16 @@ Unsloth can be used in two ways: through **[Unsloth Studio](https://unsloth.ai/d
 Unsloth Studio works on **Windows, Linux, WSL** and **macOS**.
 
 * **CPU:** Supported for **chat inference only**
-* **NVIDIA GPUs:** Training works on RTX 30/40/50, Blackwell, DGX Spark, DGX Station and more
+* **NVIDIA:** Training works on RTX 30/40/50, Blackwell, DGX Spark, Station and more
 * **macOS:** Currently supports chat only; **MLX training** is coming very soon
+* **AMD:** Chat works. Train with [Unsloth Core](#unsloth-core-code-based). Studio support is coming soon.
+* **Coming soon:** Training support for Apple MLX, AMD, and Intel.
 * **Multi-GPU:** Available now, with a major upgrade on the way
 
 #### Windows, MacOS, Linux or WSL:
 ```
-pip install unsloth
+pip install --upgrade pip && pip install uv
+uv pip install unsloth --torch-backend=auto
 unsloth studio setup
 unsloth studio -H 0.0.0.0 -p 8888
 ```
@@ -58,9 +61,10 @@ Use our [Docker image](https://hub.docker.com/r/unsloth/unsloth) ```unsloth/unsl
 
 You can also install directly from source:
 ```
-git clone https://github.com/unslothai/unsloth.git
+pip install --upgrade pip && pip install uv
+git clone --filter=blob:none https://github.com/unslothai/unsloth.git
 cd unsloth
-pip install -e .
+uv pip install -e . --torch-backend=auto
 unsloth studio setup
 unsloth studio -H 0.0.0.0 -p 8888
 ```
@@ -68,13 +72,14 @@ unsloth studio -H 0.0.0.0 -p 8888
 ### Unsloth Core (code-based)
 #### Windows, Linux, WSL
 ```bash
-pip install unsloth
+pip install --upgrade pip && pip install uv
+uv pip install unsloth --torch-backend=auto
 ```
 For Windows, `pip install unsloth` works only if you have Pytorch installed. Read our [Windows Guide](https://unsloth.ai/docs/get-started/install/windows-installation).
 You can use the same Docker image as Unsloth Studio.
 
 #### AMD, Intel
-For RTX 50x, B200, 6000 GPUs: `pip install unsloth`. Read our guides for: [Blackwell](https://unsloth.ai/docs/blog/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [DGX Spark](https://unsloth.ai/docs/blog/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth). <br>
+For RTX 50x, B200, 6000 GPUs: `uv pip install unsloth --torch-backend=auto`. Read our guides for: [Blackwell](https://unsloth.ai/docs/blog/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [DGX Spark](https://unsloth.ai/docs/blog/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth). <br>
 To install Unsloth on **AMD** and **Intel** GPUs, follow our [AMD Guide](https://unsloth.ai/docs/get-started/install/amd) and [Intel Guide](https://unsloth.ai/docs/get-started/install/intel).
 
 ## ✨ Free Notebooks

studio/backend/requirements/extras-no-deps.txt

@@ -8,7 +8,7 @@ snac
 # TRL and related packages
 trl==0.23.1
 git+https://github.com/meta-pytorch/OpenEnv.git
-executorch>=1.0.1
+# executorch>=1.0.1               # 41.5 MB - no imports in unsloth/zoo/studio
 torch-c-dlpack-ext
 sentence_transformers==5.2.0
 transformers==4.57.1

studio/backend/requirements/extras.txt

@@ -4,7 +4,7 @@ tomli-w
 
 # ExecuTorch dependencies
 ruamel.yaml
-coremltools
+# coremltools                    # 10.2 MB - Apple CoreML, no imports in unsloth/zoo/studio
 expecttest
 flatbuffers
 hydra-core
@@ -15,7 +15,7 @@ pytest<9.0
 pytest-json-report
 pytest-rerunfailures==15.1
 pytest-xdist
-# Also needed by sentence_transformers
+# Also needed by sentence_transformers (installed with --no-deps in extras-no-deps.txt)
 scikit-learn==1.7.1
 
 # Additional extras
@@ -26,8 +26,8 @@ omegaconf
 einx
 pyloudnorm
 openai-whisper
-uroman
-MeCab
+# uroman                         # 4.0 MB - romanization, no imports found
+# MeCab                          # 19.9 MB - Japanese tokenizer, no imports found
 loguru
 flatten_dict
 ffmpy

studio/backend/requirements/studio.txt

@@ -10,7 +10,7 @@ datasets==4.3.0
 pyjwt
 easydict
 addict
-gradio>=4.0.0
+# gradio>=4.0.0                  # 148 MB - Studio uses React + FastAPI, not Gradio
 huggingface-hub==0.36.2
 structlog>=24.1.0
 diceware

studio/frontend/src/features/chat/components/model-load-status.tsx

@@ -4,7 +4,6 @@
 import { Progress } from "@/components/ui/progress";
 import { Spinner } from "@/components/ui/spinner";
 import { Button } from "@/components/ui/button";
-import { XIcon } from "lucide-react";
 
 type ModelLoadDescriptionProps = {
   title?: string | null;
@@ -28,11 +27,11 @@ export function ModelLoadDescription({
   const hasProgress = typeof progressPercent === "number";
 
   return (
-    <div className="flex min-h-12 w-full items-stretch gap-2">
+    <div className="relative flex min-h-12 w-full items-stretch gap-2">
       <div className="flex h-full shrink-0 items-center self-center">
         <Spinner className="size-4 text-foreground" />
       </div>
-      <div className="min-w-0 flex-1">
+      <div className="min-w-0 flex-1 pr-5">
         {title ? <p className="text-foreground leading-5 font-semibold">{title}</p> : null}
         {hasProgress ? (
           <div className="w-full pt-1">
@@ -49,13 +48,13 @@ export function ModelLoadDescription({
       {onStop ? (
         <Button
           type="button"
-          size="icon-sm"
+          size="xs"
           variant="ghost"
           aria-label="Stop model loading"
-          className="h-auto w-10 self-stretch shrink-0 rounded-xl text-muted-foreground hover:bg-destructive/10 hover:text-destructive focus-visible:text-destructive"
+          className="h-auto self-stretch shrink-0 !rounded-none !border-0 bg-transparent px-1 text-[10px] text-muted-foreground hover:bg-transparent hover:text-destructive focus-visible:text-destructive"
           onClick={onStop}
         >
-          <XIcon className="size-3.5" />
+          Cancel
         </Button>
       ) : null}
     </div>