Update repository references to new uv-scripts org

- Changed all references from davanstrien/openai-oss to uv-scripts/openai-oss
- Updated HF Jobs commands in README
- Updated dataset card generation link
- Updated example commands in script docstring
- Now part of the uv-scripts organization

README.md

@@ -19,7 +19,7 @@ Successfully tested on HF Jobs with `l4x4` flavor (4x L4 GPUs = 96GB total memor
 ```bash
 # Run on HF Jobs (tested and working)
 hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
-    https://huggingface.co/datasets/davanstrien/openai-oss/raw/main/gpt_oss_minimal.py \
+    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
     --input-dataset davanstrien/haiku_dpo \
     --output-dataset username/gpt-oss-haiku \
     --prompt-column question \
@@ -80,7 +80,7 @@ Example raw output structure:
 
 ```bash
 hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
-    https://huggingface.co/datasets/davanstrien/openai-oss/raw/main/gpt_oss_minimal.py \
+    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
     --input-dataset davanstrien/haiku_dpo \
     --output-dataset username/haiku-high \
     --prompt-column question \
@@ -92,7 +92,7 @@ hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
 
 ```bash
 hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
-    https://huggingface.co/datasets/davanstrien/openai-oss/raw/main/gpt_oss_minimal.py \
+    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
     --input-dataset davanstrien/haiku_dpo \
     --output-dataset username/haiku-low \
     --prompt-column question \
@@ -102,22 +102,12 @@ hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
 
 ## 🖥️ GPU Requirements
 
-| Model                   | Memory Required | Recommended Flavor     |
-| ----------------------- | --------------- | ---------------------- |
-| **openai/gpt-oss-20b**  | ~40GB           | `l4x4` (4x24GB = 96GB) |
-| **openai/gpt-oss-120b** | ~240GB          | `8xa100` (8x80GB)      |
+| Model                  | Memory Required | Recommended Flavor     |
+| ---------------------- | --------------- | ---------------------- |
+| **openai/gpt-oss-20b** | ~40GB           | `l4x4` (4x24GB = 96GB) |
 
 **Note**: The 20B model automatically dequantizes from MXFP4 to bf16 on non-Hopper GPUs, requiring more memory than the quantized size.
 
-## 🔧 Technical Details
-
-### Why L4x4?
-
-- The 20B model needs ~40GB VRAM when dequantized
-- Single A10G (24GB) is insufficient
-- L4x4 provides 96GB total memory across 4 GPUs
-- Cost-effective compared to A100 instances
-
 ### Reasoning Effort
 
 The `reasoning_effort` parameter controls how much chain-of-thought reasoning the model generates:

gpt_oss_minimal.py

@@ -23,8 +23,8 @@ Usage:
         --prompt-column question \
         --max-samples 2
 
-    # HF Jobs execution (A10G for $1.50/hr)
-    hf jobs uv run --flavor a10g-small \
+    # HF Jobs execution (L4x4 for proper memory)
+    hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
         https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
         --input-dataset davanstrien/haiku_dpo \
         --output-dataset username/haiku-raw \
@@ -85,7 +85,7 @@ Each example contains:
 
 To extract the final response, look for text after `<|channel|>final<|message|>` in the raw_output.
 
-Generated using [davanstrien/openai-oss](https://huggingface.co/datasets/davanstrien/openai-oss).
+Generated using [uv-scripts/openai-oss](https://huggingface.co/datasets/uv-scripts/openai-oss).
 """