Add NVIDIA provider models with standardized IDs

README.md

@@ -82,7 +82,9 @@ Example SVG structure:
 
 #### 3. Add a Model Definition
 
-Create a new TOML file in the provider's `models/` directory where the filename is the model ID:
+Create a new TOML file in the provider's `models/` directory where the filename is the model ID.
+
+If the model ID contains `/`, use subfolders. For example, for the model ID `openai/gpt-5`, create a folder `openai/` and place a file named `gpt-5.toml` inside it.
 
 ```toml
 name = "Model Display Name"

providers/nvidia/models/phi-4-multimodal-instruct.toml → providers/nvidia/models/microsoft/phi-4-mini-instruct.toml

@@ -1,4 +1,4 @@
-name = "Phi-4-Multimodal-Instruct"
+name = "Phi-4-Mini"
 release_date = "2024-12-01"
 last_updated = "2025-09-05"
 attachment = true

providers/nvidia/models/llama-3.3-nemotron-super-49b-v1.5.toml → providers/nvidia/models/moonshotai/kimi-k2-instruct.toml

@@ -1,10 +1,10 @@
-name = "Llama-3.3-Nemotron-Super-49B-v1.5"
-release_date = "2025-07-25"
+name = "Kimi K2 Instruct"
+release_date = "2025-01-01"
 last_updated = "2025-09-05"
 attachment = false
 reasoning = true
 temperature = true
-knowledge = "2023-12"
+knowledge = "2024-01"
 tool_call = true
 open_weights = false
 
@@ -13,7 +13,7 @@ input = 0.0
 output = 0.0
 
 [limit]
-context = 131_072
+context = 128_000
 output = 8_192
 
 [modalities]

providers/nvidia/models/deepseek-r1.toml → providers/nvidia/models/openai/gpt-oss-120b.toml

@@ -1,10 +1,10 @@
-name = "DeepSeek R1"
-release_date = "2024-11-01"
+name = "GPT-OSS-120B"
+release_date = "2024-01-01"
 last_updated = "2025-09-05"
-attachment = false
+attachment = true
 reasoning = true
 temperature = true
-knowledge = "2024-11"
+knowledge = "2024-01"
 tool_call = false
 open_weights = false
 
@@ -13,7 +13,7 @@ input = 0.0
 output = 0.0
 
 [limit]
-context = 131_072
+context = 128_000
 output = 8_192
 
 [modalities]