Upload model_data/gpt-oss-20b/README.md with huggingface_hub

model_data/gpt-oss-20b/README.md

@@ -7,7 +7,7 @@ tags:
 ---
 
 <p align="center">
-  <img alt="gpt-oss-20b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt-oss-20b.svg">
+  <img alt="gpt-oss-120b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt-oss-120b.svg">
 </p>
 
 <p align="center">
@@ -29,7 +29,7 @@ Both models were trained on our [harmony response format](https://github.com/ope
 
 
 > [!NOTE]
-> This model card is dedicated to the smaller `gpt-oss-20b` model. Check out [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) for the larger model.
+> This model card is dedicated to the larger `gpt-oss-120b` model. Check out [`gpt-oss-20b`](https://huggingface.co/openai/gpt-oss-20b) for the smaller model.
 
 # Highlights
 
@@ -60,7 +60,7 @@ Once, setup you can proceed to run the model by running the snippet below:
 from transformers import pipeline
 import torch
 
-model_id = "openai/gpt-oss-20b"
+model_id = "openai/gpt-oss-120b"
 
 pipe = pipeline(
     "text-generation",
@@ -84,7 +84,7 @@ Alternatively, you can run the model via [`Transformers Serve`](https://huggingf
 
 ```
 transformers serve
-transformers chat localhost:8000 --model-name-or-path openai/gpt-oss-20b
+transformers chat localhost:8000 --model-name-or-path openai/gpt-oss-120b
 ```
 
 [Learn more about how to use gpt-oss with Transformers.](https://cookbook.openai.com/articles/gpt-oss/run-transformers)
@@ -99,7 +99,7 @@ uv pip install --pre vllm==0.10.1+gptoss \
     --extra-index-url https://download.pytorch.org/whl/nightly/cu128 \
     --index-strategy unsafe-best-match
 
-vllm serve openai/gpt-oss-20b
+vllm serve openai/gpt-oss-120b
 ```
 
 [Learn more about how to use gpt-oss with vLLM.](https://cookbook.openai.com/articles/gpt-oss/run-vllm)
@@ -113,9 +113,9 @@ To learn about how to use this model with PyTorch and Triton, check out our [ref
 If you are trying to run gpt-oss on consumer hardware, you can use Ollama by running the following commands after [installing Ollama](https://ollama.com/download).
 
 ```bash
-# gpt-oss-20b
-ollama pull gpt-oss:20b
-ollama run gpt-oss:20b
+# gpt-oss-120b
+ollama pull gpt-oss:120b
+ollama run gpt-oss:120b
 ```
 
 [Learn more about how to use gpt-oss with Ollama.](https://cookbook.openai.com/articles/gpt-oss/run-locally-ollama)
@@ -125,8 +125,8 @@ ollama run gpt-oss:20b
 If you are using [LM Studio](https://lmstudio.ai/) you can use the following commands to download.
 
 ```bash
-# gpt-oss-20b
-lms get openai/gpt-oss-20b
+# gpt-oss-120b
+lms get openai/gpt-oss-120b
 ```
 
 Check out our [awesome list](https://github.com/openai/gpt-oss/blob/main/awesome-gpt-oss.md) for a broader collection of gpt-oss resources and inference partners.
@@ -138,8 +138,8 @@ Check out our [awesome list](https://github.com/openai/gpt-oss/blob/main/awesome
 You can download the model weights from the [Hugging Face Hub](https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4) directly from Hugging Face CLI:
 
 ```shell
-# gpt-oss-20b
-huggingface-cli download openai/gpt-oss-20b --include "original/*" --local-dir gpt-oss-20b/
+# gpt-oss-120b
+huggingface-cli download openai/gpt-oss-120b --include "original/*" --local-dir gpt-oss-120b/
 pip install gpt-oss
 python -m gpt_oss.chat model/
 ```
@@ -165,7 +165,7 @@ The gpt-oss models are excellent for:
 
 Both gpt-oss models can be fine-tuned for a variety of specialized use cases.
 
-This smaller model `gpt-oss-20b` can be fine-tuned on consumer hardware, whereas the larger [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) can be fine-tuned on a single H100 node.
+This larger model `gpt-oss-120b` can be fine-tuned on a single H100 node, whereas the smaller [`gpt-oss-20b`](https://huggingface.co/openai/gpt-oss-20b) can even be fine-tuned on consumer hardware.
 
 # Citation