Update repo URLs from uv-scripts/unsloth-jobs to unsloth/jobs

Preparing for move to official unsloth org. Also includes
previously uncommitted formatting fixes and metadata_update additions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -80,7 +80,7 @@ Use `--text-column` if your column has a different name.
 View available options for any script:
 
 ```bash
-uv run https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-lfm2.5.py --help
+uv run https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-lfm2.5.py --help
 ```
 
 ### LLM fine-tuning
@@ -89,7 +89,7 @@ Fine-tune [LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Ins
 
 ```bash
 hf jobs uv run \
-  https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-lfm2.5.py \
+  https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-lfm2.5.py \
   --flavor a10g-small --secrets HF_TOKEN --timeout 4h \
   -- --dataset mlabonne/FineTome-100k \
      --num-epochs 1 \
@@ -101,7 +101,7 @@ hf jobs uv run \
 
 ```bash
 hf jobs uv run \
-  https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-qwen3-vl.py \
+  https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-qwen3-vl.py \
   --flavor a100-large --secrets HF_TOKEN \
   -- --dataset your-username/dataset \
      --trackio-space your-username/trackio \
@@ -112,7 +112,7 @@ hf jobs uv run \
 
 ```bash
 hf jobs uv run \
-  https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/continued-pretraining.py \
+  https://huggingface.co/datasets/unsloth/jobs/raw/main/continued-pretraining.py \
   --flavor a100-large --secrets HF_TOKEN \
   -- --dataset your-username/domain-corpus \
      --text-column content \
@@ -124,7 +124,7 @@ hf jobs uv run \
 
 ```bash
 hf jobs uv run \
-  https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-lfm2.5.py \
+  https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-lfm2.5.py \
   --flavor a10g-small --secrets HF_TOKEN \
   -- --dataset mlabonne/FineTome-100k \
      --trackio-space your-username/trackio \

continued-pretraining.py

@@ -19,7 +19,7 @@ Run locally (if you have a GPU):
 
 Run on HF Jobs:
     hf jobs uv run \
-        https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/continued-pretraining.py \
+        https://huggingface.co/datasets/unsloth/jobs/raw/main/continued-pretraining.py \
         --flavor a100-large --secrets HF_TOKEN \
         -- --max-steps 1000 --output-repo your-username/qwen-latin
 
@@ -56,7 +56,7 @@ def check_cuda():
         logger.error("CUDA is not available. This script requires a GPU.")
         logger.error("Run on a machine with a CUDA-capable GPU or use HF Jobs:")
         logger.error(
-            "  hf jobs uv run https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/continued-pretraining.py --flavor a100-large ..."
+            "  hf jobs uv run https://huggingface.co/datasets/unsloth/jobs/raw/main/continued-pretraining.py --flavor a100-large ..."
         )
         sys.exit(1)
     logger.info(f"CUDA available: {torch.cuda.get_device_name(0)}")
@@ -82,7 +82,7 @@ Examples:
 
   # HF Jobs with monitoring
   hf jobs uv run \\
-      https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/continued-pretraining.py \\
+      https://huggingface.co/datasets/unsloth/jobs/raw/main/continued-pretraining.py \\
       --flavor a100-large --secrets HF_TOKEN \\
       -- --max-steps 1000 --trackio-space username/trackio --output-repo username/qwen-latin
         """,
@@ -339,6 +339,12 @@ def main():
     model.push_to_hub(args.output_repo, tokenizer=tokenizer)
     print(f"Model available at: https://huggingface.co/{args.output_repo}")
 
+    # Update model card metadata with dataset info
+    from huggingface_hub import metadata_update
+
+    metadata_update(args.output_repo, {"datasets": [args.dataset]}, overwrite=True)
+    print(f"  Model card updated with dataset: {args.dataset}")
+
     # Quick inference test
     print("\n" + "=" * 70)
     print("Quick inference test:")
@@ -389,7 +395,7 @@ if __name__ == "__main__":
         print("\nHF Jobs example:")
         print("\n  hf jobs uv run \\")
         print(
-            "      https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/continued-pretraining.py \\"
+            "      https://huggingface.co/datasets/unsloth/jobs/raw/main/continued-pretraining.py \\"
         )
         print("      --flavor a100-large --secrets HF_TOKEN \\")
         print("      -- --max-steps 1000 --output-repo your-username/qwen-latin")

sft-gemma3-vlm.py

@@ -23,7 +23,7 @@ Run locally (if you have a GPU):
 
 Run on HF Jobs:
     hf jobs uv run \
-        https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-gemma3-vlm.py \
+        https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-gemma3-vlm.py \
         --flavor a100-large --secrets HF_TOKEN \
         -- --max-steps 500 --output-repo your-username/vlm-finetuned
 
@@ -59,7 +59,7 @@ def check_cuda():
         logger.error("CUDA is not available. This script requires a GPU.")
         logger.error("Run on a machine with a CUDA-capable GPU or use HF Jobs:")
         logger.error(
-            "  hf jobs uv run https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-gemma3-vlm.py --flavor a100-large ..."
+            "  hf jobs uv run https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-gemma3-vlm.py --flavor a100-large ..."
         )
         sys.exit(1)
     logger.info(f"CUDA available: {torch.cuda.get_device_name(0)}")
@@ -335,6 +335,12 @@ def main():
     processor.push_to_hub(args.output_repo)
     print(f"Model available at: https://huggingface.co/{args.output_repo}")
 
+    # Update model card metadata with dataset info
+    from huggingface_hub import metadata_update
+
+    metadata_update(args.output_repo, {"datasets": [args.dataset]}, overwrite=True)
+    print(f"  Model card updated with dataset: {args.dataset}")
+
     print("\n" + "=" * 70)
     print("Done!")
     print("=" * 70)
@@ -360,7 +366,7 @@ if __name__ == "__main__":
         print("\nHF Jobs example:")
         print("\n  hf jobs uv run \\")
         print(
-            "      https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-gemma3-vlm.py \\"
+            "      https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-gemma3-vlm.py \\"
         )
         print("      --flavor a100-large --secrets HF_TOKEN \\")
         print("      -- --max-steps 500 --output-repo your-username/vlm-finetuned")

sft-lfm2.5.py

@@ -62,9 +62,7 @@ def check_cuda():
     if not torch.cuda.is_available():
         logger.error("CUDA is not available. This script requires a GPU.")
         logger.error("Run on a machine with a CUDA-capable GPU or use HF Jobs:")
-        logger.error(
-            "  hf jobs uv run sft-lfm2.5.py --flavor a10g-small ..."
-        )
+        logger.error("  hf jobs uv run sft-lfm2.5.py --flavor a10g-small ...")
         sys.exit(1)
     logger.info(f"CUDA available: {torch.cuda.get_device_name(0)}")
 
@@ -233,10 +231,14 @@ def main():
     print(f"  Base model:      {args.base_model}")
     print(f"  Dataset:         {args.dataset}")
     print(f"  Num samples:     {args.num_samples or 'all'}")
-    print(f"  Eval split:      {args.eval_split if args.eval_split > 0 else '(disabled)'}")
+    print(
+        f"  Eval split:      {args.eval_split if args.eval_split > 0 else '(disabled)'}"
+    )
     print(f"  Seed:            {args.seed}")
     print(f"  Training:        {duration_str}")
-    print(f"  Batch size:      {args.batch_size} x {args.gradient_accumulation} = {args.batch_size * args.gradient_accumulation}")
+    print(
+        f"  Batch size:      {args.batch_size} x {args.gradient_accumulation} = {args.batch_size * args.gradient_accumulation}"
+    )
     print(f"  Learning rate:   {args.learning_rate}")
     print(f"  LoRA rank:       {args.lora_r}")
     print(f"  Max seq length:  {args.max_seq_length}")
@@ -253,7 +255,9 @@ def main():
     # Set Trackio space if provided
     if args.trackio_space:
         os.environ["TRACKIO_SPACE_ID"] = args.trackio_space
-        logger.info(f"Trackio dashboard: https://huggingface.co/spaces/{args.trackio_space}")
+        logger.info(
+            f"Trackio dashboard: https://huggingface.co/spaces/{args.trackio_space}"
+        )
 
     # Import heavy dependencies
     from unsloth import FastLanguageModel
@@ -287,7 +291,16 @@ def main():
     model = FastLanguageModel.get_peft_model(
         model,
         r=args.lora_r,
-        target_modules=["q_proj", "k_proj", "v_proj", "out_proj", "in_proj", "w1", "w2", "w3"],
+        target_modules=[
+            "q_proj",
+            "k_proj",
+            "v_proj",
+            "out_proj",
+            "in_proj",
+            "w1",
+            "w2",
+            "w3",
+        ],
         lora_alpha=args.lora_alpha,
         lora_dropout=0,
         bias="none",
@@ -421,13 +434,17 @@ def main():
     # 4. Train
     print(f"\n[4/5] Training for {duration_str}...")
     if args.num_epochs:
-        print(f"  (~{steps_per_epoch} steps/epoch, {int(steps_per_epoch * args.num_epochs)} total steps)")
+        print(
+            f"  (~{steps_per_epoch} steps/epoch, {int(steps_per_epoch * args.num_epochs)} total steps)"
+        )
     start = time.time()
 
     train_result = trainer.train()
 
     train_time = time.time() - start
-    total_steps = train_result.metrics.get("train_steps", args.max_steps or steps_per_epoch * args.num_epochs)
+    total_steps = train_result.metrics.get(
+        "train_steps", args.max_steps or steps_per_epoch * args.num_epochs
+    )
     print(f"\nTraining completed in {train_time / 60:.1f} minutes")
     print(f"  Speed: {total_steps / train_time:.2f} steps/s")
 
@@ -447,9 +464,13 @@ def main():
                 if train_loss:
                     ratio = eval_loss / train_loss
                     if ratio > 1.5:
-                        print(f"  Warning: Eval loss is {ratio:.1f}x train loss - possible overfitting")
+                        print(
+                            f"  Warning: Eval loss is {ratio:.1f}x train loss - possible overfitting"
+                        )
                     else:
-                        print(f"  Eval/train ratio: {ratio:.2f} - model generalizes well")
+                        print(
+                            f"  Eval/train ratio: {ratio:.2f} - model generalizes well"
+                        )
         except Exception as e:
             print(f"  Warning: Final evaluation failed: {e}")
             print("  Continuing to save model...")
@@ -475,6 +496,12 @@ def main():
         model.push_to_hub(args.output_repo, tokenizer=tokenizer)
         print(f"Adapter available at: https://huggingface.co/{args.output_repo}")
 
+    # Update model card metadata with dataset info
+    from huggingface_hub import metadata_update
+
+    metadata_update(args.output_repo, {"datasets": [args.dataset]}, overwrite=True)
+    print(f"  Model card updated with dataset: {args.dataset}")
+
     print("\n" + "=" * 70)
     print("Done!")
     print("=" * 70)

sft-qwen3-vl.py

@@ -24,7 +24,7 @@ Epoch-based training (recommended for full datasets):
 
 Run on HF Jobs (1 epoch with eval):
     hf jobs uv run \
-        https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-qwen3-vl.py \
+        https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-qwen3-vl.py \
         --flavor a100-large --secrets HF_TOKEN --timeout 4h \
         -- --num-epochs 1 --eval-split 0.2 --output-repo your-username/vlm-finetuned
 
@@ -67,7 +67,7 @@ def check_cuda():
         logger.error("CUDA is not available. This script requires a GPU.")
         logger.error("Run on a machine with a CUDA-capable GPU or use HF Jobs:")
         logger.error(
-            "  hf jobs uv run https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-qwen3-vl.py --flavor a100-large ..."
+            "  hf jobs uv run https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-qwen3-vl.py --flavor a100-large ..."
         )
         sys.exit(1)
     logger.info(f"CUDA available: {torch.cuda.get_device_name(0)}")
@@ -578,7 +578,7 @@ if __name__ == "__main__":
         print("\nHF Jobs example (1 epoch with eval):")
         print("\n  hf jobs uv run \\")
         print(
-            "      https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/sft-qwen3-vl.py \\"
+            "      https://huggingface.co/datasets/unsloth/jobs/raw/main/sft-qwen3-vl.py \\"
         )
         print("      --flavor a100-large --secrets HF_TOKEN --timeout 4h \\")
         print(