diff --git a/README.md b/README.md
index 70f5053..f3240db 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ tags:
 Welcome to the gpt-oss series, [OpenAI’s open-weight models](https://openai.com/open-models) designed for powerful reasoning, agentic tasks, and versatile developer use cases.
 
 We’re releasing two flavors of these open models:
-- `gpt-oss-120b` — for production, general purpose, high reasoning use cases that fit into a single H100 GPU (117B parameters with 5.1B active parameters)
+- `gpt-oss-120b` — for production, general purpose, high reasoning use cases that fit into a single 80GB GPU (like NVIDIA H100 or AMD MI300X) (117B parameters with 5.1B active parameters)
 - `gpt-oss-20b` — for lower latency, and local or specialized use cases (21B parameters with 3.6B active parameters)
 
 Both models were trained on our [harmony response format](https://github.com/openai/harmony) and should only be used with the harmony format as it will not work correctly otherwise.
@@ -38,7 +38,7 @@ Both models were trained on our [harmony response format](https://github.com/ope
 * **Full chain-of-thought:** Gain complete access to the model’s reasoning process, facilitating easier debugging and increased trust in outputs. It’s not intended to be shown to end users.  
 * **Fine-tunable:** Fully customize models to your specific use case through parameter fine-tuning.
 * **Agentic capabilities:** Use the models’ native capabilities for function calling, [web browsing](https://github.com/openai/gpt-oss/tree/main?tab=readme-ov-file#browser), [Python code execution](https://github.com/openai/gpt-oss/tree/main?tab=readme-ov-file#python), and Structured Outputs.
-* **Native MXFP4 quantization:** The models are trained with native MXFP4 precision for the MoE layer, making `gpt-oss-120b` run on a single H100 GPU and the `gpt-oss-20b` model run within 16GB of memory.
+* **Native MXFP4 quantization:** The models are trained with native MXFP4 precision for the MoE layer, making `gpt-oss-120b` run on a single 80GB GPU (like NVIDIA H100 or AMD MI300X) and the `gpt-oss-20b` model run within 16GB of memory.
 
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diff --git a/chat_template.jinja b/chat_template.jinja
index 67a2512..dc7bb11 100644
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -245,9 +245,9 @@
     {%- if developer_message %}
         {{- "# Instructions\n\n" }}
         {{- developer_message }}
+        {{- "\n\n" }}
     {%- endif %}
     {%- if tools -%}
-        {{- "\n\n" }}
         {{- "# Tools\n\n" }}
         {{- render_tool_namespace("functions", tools) }}
     {%- endif -%}