Merge pull request #102 from carlson-svg/main

Add human readable worker-config.json

Dockerfile

@@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
     python3 -m pip install --upgrade -r /requirements.txt
 
 # Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer 
-RUN python3 -m pip install vllm==0.5.3.post1 && \
+RUN python3 -m pip install vllm==0.5.4 && \
     python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3
 
 # Setup for Option 2: Building the Image with the Model included

README.md

@@ -18,8 +18,9 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
 ### 1. UI for Deploying vLLM Worker on RunPod console:
 ![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
 
-### 2. Worker vLLM `v1.1` with vLLM `0.5.3` now available under `stable` tags
+### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags 
-Update v1.1 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`.
+
+Update v1.2.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.2.0stable-cuda12.1.0`.
 
 ### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released
 Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more! 
@@ -57,6 +58,10 @@ Worker vLLM is now cached on all RunPod machines, resulting in near-instant depl
   - [Input Request Parameters](#input-request-parameters)
     - [Text Input Formats](#text-input-formats)
     - [Sampling Parameters](#sampling-parameters)
+- [Worker Config](#worker-config)
+  - [Writing your worker-config.json](#writing-your-worker-configjson)
+  - [Example of schema](#example-of-schema)
+  - [Example of versions](#example-of-versions)
 
 # Setting up the Serverless Worker
 
@@ -87,7 +92,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 - RunPod Account
 
 #### Environment Variables/Settings
-> Note:  `0` is equivalent to `False` and `1` is equivalent to `True` for boolean values.
+> Note:  `0` is equivalent to `False` and `1` is equivalent to `True` for boolean as int values.
 
 | `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
 |-------------------------------------------|-----------------------|--------------------------------------------|---------------|
@@ -95,11 +100,12 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `TOKENIZER`                               | None                  | `str`                                      | Name or path of the Hugging Face tokenizer to use. |
 | `SKIP_TOKENIZER_INIT`                     | False                 | `bool`                                     | Skip initialization of tokenizer and detokenizer. |
 | `TOKENIZER_MODE`                          | 'auto'                | ['auto', 'slow']                           | The tokenizer mode. |
-| `TRUST_REMOTE_CODE`                       | False                 | `bool`                                     | Trust remote code from Hugging Face. |
+| `TRUST_REMOTE_CODE`                       | `False`               | `bool`                                  | Trust remote code from Hugging Face. |
 | `DOWNLOAD_DIR`                            | None                  | `str`                                      | Directory to download and load the weights. |
-| `LOAD_FORMAT`                             | 'auto'                | ['auto', 'pt', 'safetensors', 'npcache', 'dummy', 'tensorizer', 'bitsandbytes'] | The format of the model weights to load. |
+| `LOAD_FORMAT`                             | 'auto'                | `str`                                      | The format of the model weights to load. |
+| `HF_TOKEN`                                | -                     | `str`                                      | Hugging Face token for private and gated models.|
 | `DTYPE`                                   | 'auto'                | ['auto', 'half', 'float16', 'bfloat16', 'float', 'float32'] | Data type for model weights and activations. |
-| `KV_CACHE_DTYPE`                          | 'auto'                | ['auto', 'fp8', 'fp8_e5m2', 'fp8_e4m3']    | Data type for KV cache storage. |
+| `KV_CACHE_DTYPE`                          | 'auto'                | ['auto', 'fp8']                            | Data type for KV cache storage. |
 | `QUANTIZATION_PARAM_PATH`                 | None                  | `str`                                      | Path to the JSON file containing the KV cache scaling factors. |
 | `MAX_MODEL_LEN`                           | None                  | `int`                                      | Model context length. |
 | `GUIDED_DECODING_BACKEND`                 | 'outlines'            | ['outlines', 'lm-format-enforcer']         | Which engine will be used for guided decoding by default. |
@@ -109,26 +115,19 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `TENSOR_PARALLEL_SIZE`                    | 1                     | `int`                                      | Number of tensor parallel replicas. |
 | `MAX_PARALLEL_LOADING_WORKERS`            | None                  | `int`                                      | Load model sequentially in multiple batches. |
 | `RAY_WORKERS_USE_NSIGHT`                  | False                 | `bool`                                     | If specified, use nsight to profile Ray workers. |
-| `BLOCK_SIZE`                              | 16                    | [8, 16, 32]                                | Token block size for contiguous chunks of tokens. |
 | `ENABLE_PREFIX_CACHING`                   | False                 | `bool`                                     | Enables automatic prefix caching. |
 | `DISABLE_SLIDING_WINDOW`                  | False                 | `bool`                                     | Disables sliding window, capping to sliding window size. |
 | `USE_V2_BLOCK_MANAGER`                    | False                 | `bool`                                     | Use BlockSpaceMangerV2. |
 | `NUM_LOOKAHEAD_SLOTS`                     | 0                     | `int`                                      | Experimental scheduling config necessary for speculative decoding. |
 | `SEED`                                    | 0                     | `int`                                      | Random seed for operations. |
-| `SWAP_SPACE`                              | 4                     | `int`                                      | CPU swap space size (GiB) per GPU. |
-| `GPU_MEMORY_UTILIZATION`                  | 0.90                  | `float`                                    | The fraction of GPU memory to be used for the model executor. |
 | `NUM_GPU_BLOCKS_OVERRIDE`                 | None                  | `int`                                      | If specified, ignore GPU profiling result and use this number of GPU blocks. |
 | `MAX_NUM_BATCHED_TOKENS`                  | None                  | `int`                                      | Maximum number of batched tokens per iteration. |
 | `MAX_NUM_SEQS`                            | 256                   | `int`                                      | Maximum number of sequences per iteration. |
 | `MAX_LOGPROBS`                            | 20                    | `int`                                      | Max number of log probs to return when logprobs is specified in SamplingParams. |
 | `DISABLE_LOG_STATS`                       | False                 | `bool`                                     | Disable logging statistics. |
-| `QUANTIZATION`                            | None                  | [*QUANTIZATION_METHODS, None]              | Method used to quantize the weights. |
+| `QUANTIZATION`                            | None                  | ['awq', 'squeezellm', 'gptq']              | Method used to quantize the weights. |
 | `ROPE_SCALING`                            | None                  | `dict`                                     | RoPE scaling configuration in JSON format. |
 | `ROPE_THETA`                              | None                  | `float`                                    | RoPE theta. Use with rope_scaling. |
-| `ENFORCE_EAGER`                           | False                 | `bool`                                     | Always use eager-mode PyTorch. |
-| `MAX_CONTEXT_LEN_TO_CAPTURE`              | None                  | `int`                                      | Maximum context length covered by CUDA graphs. |
-| `MAX_SEQ_LEN_TO_CAPTURE`                  | 8192                  | `int`                                      | Maximum sequence length covered by CUDA graphs. |
-| `DISABLE_CUSTOM_ALL_REDUCE`               | False                 | `bool`                                     | See ParallelConfig. |
 | `TOKENIZER_POOL_SIZE`                     | 0                     | `int`                                      | Size of tokenizer pool to use for asynchronous tokenization. |
 | `TOKENIZER_POOL_TYPE`                     | 'ray'                 | `str`                                      | Type of tokenizer pool to use for asynchronous tokenization. |
 | `TOKENIZER_POOL_EXTRA_CONFIG`             | None                  | `dict`                                     | Extra config for tokenizer pool. |
@@ -140,7 +139,6 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `LONG_LORA_SCALING_FACTORS`               | None                  | `tuple`                                    | Specify multiple scaling factors for LoRA adapters. |
 | `MAX_CPU_LORAS`                           | None                  | `int`                                      | Maximum number of LoRAs to store in CPU memory. |
 | `FULLY_SHARDED_LORAS`                     | False                 | `bool`                                     | Enable fully sharded LoRA layers. |
-| `DEVICE`                                  | 'auto'                | ['auto', 'cuda', 'neuron', 'cpu', 'openvino', 'tpu', 'xpu'] | Device type for vLLM execution. |
 | `SCHEDULER_DELAY_FACTOR`                  | 0.0                   | `float`                                    | Apply a delay before scheduling next prompt. |
 | `ENABLE_CHUNKED_PREFILL`                  | False                 | `bool`                                     | Enable chunked prefill requests. |
 | `SPECULATIVE_MODEL`                       | None                  | `str`                                      | The name of the draft model to be used in speculative decoding. |
@@ -168,7 +166,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `MAX_PARALLEL_LOADING_WORKERS`      | `None`               | `int`                                         |Load model sequentially in multiple batches, to avoid RAM OOM when using tensor parallel and large models. |
 | `BLOCK_SIZE`                        | `16`                 | `8`, `16`, `32`                           |Token block size for contiguous chunks of tokens. |
 | `SWAP_SPACE`                        | `4`                  | `int`                                         |CPU swap space size (GiB) per GPU. |
-| `ENFORCE_EAGER`                     | `0`                  | boolean as `int`                                         |Always use eager-mode PyTorch. If False(`0`), will use eager mode and CUDA graph in hybrid for maximal performance and flexibility. |
+| `ENFORCE_EAGER`                     | False                  | `bool`                                         |Always use eager-mode PyTorch. If False(`0`), will use eager mode and CUDA graph in hybrid for maximal performance and flexibility. |
 | `MAX_SEQ_LEN_TO_CAPTURE`        | `8192`               | `int`                                     |Maximum context length covered by CUDA graphs. When a sequence has context length larger than this, we fall back to eager mode.|
 | `DISABLE_CUSTOM_ALL_REDUCE`         | `0`                  | `int`                                         |Enables or disables custom all reduce. |
 **Streaming Batch Size Settings**:  
@@ -182,8 +180,8 @@ The way this works is that the first request will have a batch size of `DEFAULT_
 | `OPENAI_RESPONSE_ROLE`              | `assistant`          | `str`                       |Role of the LLM's Response in OpenAI Chat Completions. |
 **Serverless Settings**
 | `MAX_CONCURRENCY`                   | `300`                | `int`                                         |Max concurrent requests per worker. vLLM has an internal queue, so you don't have to worry about limiting by VRAM, this is for improving scaling/load balancing efficiency |
-| `DISABLE_LOG_STATS`                 | `1`                  | boolean as `int`                                         |Enables or disables vLLM stats logging. |
+| `DISABLE_LOG_STATS`                 | False                  | `bool`                                         |Enables or disables vLLM stats logging. |
-| `DISABLE_LOG_REQUESTS`              | `1`                  | boolean as `int`                                         |Enables or disables vLLM request logging. |
+| `DISABLE_LOG_REQUESTS`              | False                  | `bool`                                         |Enables or disables vLLM request logging. |
 
 > [!TIP]
 > If you are facing issues when using Mixtral 8x7B, Quantized models, or handling unusual models/architectures, try setting `TRUST_REMOTE_CODE` to `1`.
@@ -520,3 +518,86 @@ Your list can contain any number of messages, and each message usually can have
       ]
     ```
 
+</details>
+
+# Worker Config
+The worker config is a JSON file that is used to build the form that helps users configure their serverless endpoint on the RunPod Web Interface.
+
+Note: This is a new feature and only works for workers that use one model 
+
+## Writing your worker-config.json
+The JSON consists of two main parts, schema and versions.
+- `schema`: Here you specify the form fields that will be displayed to the user.
+  - `env_var_name`: The name of the environment variable that is being set using the form field.
+  - `value`: This is the default value of the form field. It will be shown in the UI as such unless the user changes it.
+  - `title`: This is the title of the form field in the UI.
+  - `description`: This is the description of the form field in the UI.
+  - `required`: This is a boolean that specifies if the form field is required.
+  - `type`: This is the type of the form field. Options are:
+    - `text`: Environment variable is a string so user inputs text in form field.
+    - `select`: User selects one option from the dropdown. You must provide the `options` key value pair after type if using this.
+    - `toggle`: User toggles between true and false.
+    - `number`: User inputs a number in the form field.
+  - `options`: Specify the options the user can select from if the type is `select`. DO NOT include this unless the `type` is `select`.
+- `versions`: This is where you call the form fields specified in `schema` and organize them into categories.
+  - `imageName`: This is the name of the Docker image that will be used to run the serverless endpoint.
+  - `minimumCudaVersion`: This is the minimum CUDA version that is required to run the serverless endpoint.
+  - `categories`: This is where you call the keys of the form fields specified in `schema` and organize them into categories. Each category is a toggle list of forms on the Web UI.
+    - `title`: This is the title of the category in the UI.
+    - `settings`: This is the array of settings schemas specified in `schema` associated with the category.
+
+## Example of schema
+```json
+{
+  "schema": {
+    "TOKENIZER": {
+      "env_var_name": "TOKENIZER",
+      "value": "",
+      "title": "Tokenizer",
+      "description": "Name or path of the Hugging Face tokenizer to use.",
+      "required": false,
+      "type": "text"
+    }, 
+    "TOKENIZER_MODE": {
+      "env_var_name": "TOKENIZER_MODE",
+      "value": "auto",
+      "title": "Tokenizer Mode",
+      "description": "The tokenizer mode.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "auto", "label": "auto" },
+        { "value": "slow", "label": "slow" }
+      ]
+    },
+    ...
+  }
+}
+```
+
+## Example of versions
+```json
+{
+  "versions": {
+    "0.5.4": {
+      "imageName": "runpod/worker-v1-vllm:v1.2.0stable-cuda12.1.0",
+      "minimumCudaVersion": "12.1",
+      "categories": [
+        {
+          "title": "LLM Settings",
+          "settings": [
+            "TOKENIZER", "TOKENIZER_MODE", "OTHER_SETTINGS_SCHEMA_KEYS_YOU_HAVE_SPECIFIED_0", ...
+          ]
+        },
+        {
+          "title": "Tokenizer Settings",
+          "settings": [
+            "OTHER_SETTINGS_SCHEMA_KEYS_0", "OTHER_SETTINGS_SCHEMA_KEYS_1", ...
+          ]
+        },
+        ...
+      ]
+    }
+  }
+}
+```

builder/requirements.txt

@@ -1,7 +1,7 @@
 ray
 pandas
 pyarrow
-runpod==1.6.2
+runpod==1.7.0
 huggingface-hub
 packaging
 typing-extensions==4.7.1

src/engine.py

@@ -126,7 +126,7 @@ class OpenAIvLLMEngine(vLLMEngine):
         self.model_config = await self.llm.get_model_config()
         
         self.chat_engine = OpenAIServingChat(
-            engine=self.llm, 
+            async_engine_client=self.llm, 
             model_config=self.model_config,
             served_model_names=[self.served_model_name], 
             response_role=self.response_role,
@@ -136,7 +136,7 @@ class OpenAIvLLMEngine(vLLMEngine):
             request_logger=None
         )
         self.completion_engine = OpenAIServingCompletion(
-            engine=self.llm, 
+            async_engine_client=self.llm, 
             model_config=self.model_config,
             served_model_names=[self.served_model_name],
             lora_modules=[],

src/engine_args.py

@@ -13,9 +13,9 @@ RENAME_ARGS_MAP = {
 }
 
 DEFAULT_ARGS = {
-    "disable_log_stats": True,
+    "disable_log_stats": os.getenv('DISABLE_LOG_STATS', 'False').lower() == 'true',
-    "disable_log_requests": True,
+    "disable_log_requests": os.getenv('DISABLE_LOG_REQUESTS', 'False').lower() == 'true',
-    "gpu_memory_utilization": 0.9,
+    "gpu_memory_utilization": float(os.getenv('GPU_MEMORY_UTILIZATION', 0.95)),
     "pipeline_parallel_size": int(os.getenv('PIPELINE_PARALLEL_SIZE', 1)),
     "tensor_parallel_size": int(os.getenv('TENSOR_PARALLEL_SIZE', 1)),
     "served_model_name": os.getenv('SERVED_MODEL_NAME', None),
@@ -162,8 +162,8 @@ def get_engine_args():
         args["max_seq_len_to_capture"] = int(os.getenv("MAX_CONTEXT_LEN_TO_CAPTURE"))
         logging.warning("Using MAX_CONTEXT_LEN_TO_CAPTURE is deprecated. Please use MAX_SEQ_LEN_TO_CAPTURE instead.")
         
-    if "gemma-2" in args.get("model", "").lower():
+    # if "gemma-2" in args.get("model", "").lower():
-        os.environ["VLLM_ATTENTION_BACKEND"] = "FLASHINFER"
+    #     os.environ["VLLM_ATTENTION_BACKEND"] = "FLASHINFER"
-        logging.info("Using FLASHINFER for gemma-2 model.")
+    #     logging.info("Using FLASHINFER for gemma-2 model.")
         
     return AsyncEngineArgs(**args)

worker-config.json

@@ -0,0 +1,860 @@
+{
+    "versions": {
+      "0.5.4": {
+        "imageName": "runpod/worker-v1-vllm:v1.2.0stable-cuda12.1.0",
+        "minimumCudaVersion": "12.1",
+        "categories": [
+          {
+            "title": "LLM Settings",
+            "settings": [
+              "TOKENIZER", "TOKENIZER_MODE", "SKIP_TOKENIZER_INIT", "TRUST_REMOTE_CODE",
+              "DOWNLOAD_DIR", "LOAD_FORMAT", "DTYPE", "KV_CACHE_DTYPE", "QUANTIZATION_PARAM_PATH",
+              "MAX_MODEL_LEN", "GUIDED_DECODING_BACKEND", "DISTRIBUTED_EXECUTOR_BACKEND",
+              "WORKER_USE_RAY", "RAY_WORKERS_USE_NSIGHT", "PIPELINE_PARALLEL_SIZE",
+              "TENSOR_PARALLEL_SIZE", "MAX_PARALLEL_LOADING_WORKERS", "ENABLE_PREFIX_CACHING",
+              "DISABLE_SLIDING_WINDOW", "USE_V2_BLOCK_MANAGER", "NUM_LOOKAHEAD_SLOTS",
+              "SEED", "NUM_GPU_BLOCKS_OVERRIDE", "MAX_NUM_BATCHED_TOKENS", "MAX_NUM_SEQS",
+              "MAX_LOGPROBS", "DISABLE_LOG_STATS", "QUANTIZATION", "ROPE_SCALING", "ROPE_THETA",
+              "TOKENIZER_POOL_SIZE", "TOKENIZER_POOL_TYPE", "TOKENIZER_POOL_EXTRA_CONFIG",
+              "ENABLE_LORA", "MAX_LORAS", "MAX_LORA_RANK", "LORA_EXTRA_VOCAB_SIZE",
+              "LORA_DTYPE", "LONG_LORA_SCALING_FACTORS", "MAX_CPU_LORAS", "FULLY_SHARDED_LORAS",
+              "DEVICE", "SCHEDULER_DELAY_FACTOR", "ENABLE_CHUNKED_PREFILL", "SPECULATIVE_MODEL",
+              "NUM_SPECULATIVE_TOKENS", "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
+              "SPECULATIVE_MAX_MODEL_LEN", "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
+              "NGRAM_PROMPT_LOOKUP_MAX", "NGRAM_PROMPT_LOOKUP_MIN", "SPEC_DECODING_ACCEPTANCE_METHOD",
+              "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD", "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
+              "MODEL_LOADER_EXTRA_CONFIG", "PREEMPTION_MODE", "PREEMPTION_CHECK_PERIOD",
+              "PREEMPTION_CPU_CAPACITY", "MAX_LOG_LEN", "DISABLE_LOGGING_REQUEST"
+            ]
+          },
+          {
+            "title": "Tokenizer Settings",
+            "settings": [
+              "TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
+            ]
+          },
+          {
+            "title": "System Settings",
+            "settings": [
+              "GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
+              "SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
+            ]
+          },
+          {
+            "title": "Streaming Settings",
+            "settings": [
+              "DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
+            ]
+          },
+          {
+            "title": "OpenAI Settings",
+            "settings": [
+              "RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
+            ]
+          },
+          {
+            "title": "Serverless Settings",
+            "settings": [
+              "MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
+            ]
+          }
+        ]
+      },
+      "0.5.3": {
+        "imageName": "runpod/worker-v1-vllm:stable-cuda12.1.0",
+        "minimumCudaVersion": "12.1",
+        "categories": [
+          {
+            "title": "LLM Settings",
+            "settings": [
+              "TOKENIZER", "TOKENIZER_MODE", "SKIP_TOKENIZER_INIT", "TRUST_REMOTE_CODE",
+              "DOWNLOAD_DIR", "LOAD_FORMAT", "DTYPE", "KV_CACHE_DTYPE", "QUANTIZATION_PARAM_PATH",
+              "MAX_MODEL_LEN", "GUIDED_DECODING_BACKEND", "DISTRIBUTED_EXECUTOR_BACKEND",
+              "WORKER_USE_RAY", "RAY_WORKERS_USE_NSIGHT", "PIPELINE_PARALLEL_SIZE",
+              "TENSOR_PARALLEL_SIZE", "MAX_PARALLEL_LOADING_WORKERS", "ENABLE_PREFIX_CACHING",
+              "DISABLE_SLIDING_WINDOW", "USE_V2_BLOCK_MANAGER", "NUM_LOOKAHEAD_SLOTS",
+              "SEED", "NUM_GPU_BLOCKS_OVERRIDE", "MAX_NUM_BATCHED_TOKENS", "MAX_NUM_SEQS",
+              "MAX_LOGPROBS", "DISABLE_LOG_STATS", "QUANTIZATION", "ROPE_SCALING", "ROPE_THETA",
+              "TOKENIZER_POOL_SIZE", "TOKENIZER_POOL_TYPE", "TOKENIZER_POOL_EXTRA_CONFIG",
+              "ENABLE_LORA", "MAX_LORAS", "MAX_LORA_RANK", "LORA_EXTRA_VOCAB_SIZE",
+              "LORA_DTYPE", "LONG_LORA_SCALING_FACTORS", "MAX_CPU_LORAS", "FULLY_SHARDED_LORAS",
+              "DEVICE", "SCHEDULER_DELAY_FACTOR", "ENABLE_CHUNKED_PREFILL", "SPECULATIVE_MODEL",
+              "NUM_SPECULATIVE_TOKENS", "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
+              "SPECULATIVE_MAX_MODEL_LEN", "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
+              "NGRAM_PROMPT_LOOKUP_MAX", "NGRAM_PROMPT_LOOKUP_MIN", "SPEC_DECODING_ACCEPTANCE_METHOD",
+              "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD", "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
+              "MODEL_LOADER_EXTRA_CONFIG", "PREEMPTION_MODE", "PREEMPTION_CHECK_PERIOD",
+              "PREEMPTION_CPU_CAPACITY", "MAX_LOG_LEN", "DISABLE_LOGGING_REQUEST"
+            ]
+          },
+          {
+            "title": "Tokenizer Settings",
+            "settings": [
+              "TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
+            ]
+          },
+          {
+            "title": "System Settings",
+            "settings": [
+              "GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
+              "SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
+            ]
+          },
+          {
+            "title": "Streaming Settings",
+            "settings": [
+              "DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
+            ]
+          },
+          {
+            "title": "OpenAI Settings",
+            "settings": [
+              "RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
+            ]
+          },
+          {
+            "title": "Serverless Settings",
+            "settings": [
+              "MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
+            ]
+          }
+        ]
+      },
+      "0.4.2": {
+        "imageName": "runpod/worker-vllm:stable-cuda12.1.0",
+        "minimumCudaVersion": "12.1",
+        "categories": [
+          {
+            "title": "LLM Settings",
+            "settings": [
+              "MODEL_REVISION", "MAX_MODEL_LEN", "BASE_PATH", "LOAD_FORMAT", "QUANTIZATION",
+              "TRUST_REMOTE_CODE", "SEED", "KV_CACHE_DTYPE", "DTYPE"
+            ]
+          },
+          {
+            "title": "Tokenizer Settings",
+            "settings": [
+              "TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
+            ]
+          },
+          {
+            "title": "System Settings",
+            "settings": [
+              "GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
+              "SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
+            ]
+          },
+          {
+            "title": "Streaming Settings",
+            "settings": [
+              "DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
+            ]
+          },
+          {
+            "title": "OpenAI Settings",
+            "settings": [
+              "RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
+            ]
+          },
+          {
+            "title": "Serverless Settings",
+            "settings": [
+              "MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
+            ]
+          }
+        ]
+      }
+    },
+    "schema": {
+      "TOKENIZER": {
+        "env_var_name": "TOKENIZER",
+        "value": "",
+        "title": "Tokenizer",
+        "description": "Name or path of the Hugging Face tokenizer to use.",
+        "required": false,
+        "type": "text"
+      },
+      "TOKENIZER_MODE": {
+        "env_var_name": "TOKENIZER_MODE",
+        "value": "auto",
+        "title": "Tokenizer Mode",
+        "description": "The tokenizer mode.",
+        "required": false,
+        "type": "select",
+        "options": [
+          { "value": "auto", "label": "auto" },
+          { "value": "slow", "label": "slow" }
+        ]
+      },
+      "SKIP_TOKENIZER_INIT": {
+        "env_var_name": "SKIP_TOKENIZER_INIT",
+        "value": false,
+        "title": "Skip Tokenizer Init",
+        "description": "Skip initialization of tokenizer and detokenizer.",
+        "required": false,
+        "type": "toggle"
+      },
+      "TRUST_REMOTE_CODE": {
+        "env_var_name": "TRUST_REMOTE_CODE",
+        "value": false,
+        "title": "Trust Remote Code",
+        "description": "Trust remote code from Hugging Face.",
+        "required": false,
+        "type": "toggle"
+      },
+      "DOWNLOAD_DIR": {
+        "env_var_name": "DOWNLOAD_DIR",
+        "value": "",
+        "title": "Download Directory",
+        "description": "Directory to download and load the weights.",
+        "required": false,
+        "type": "text"
+      },
+      "LOAD_FORMAT": {
+        "env_var_name": "LOAD_FORMAT",
+        "value": "auto",
+        "title": "Load Format",
+        "description": "The format of the model weights to load.",
+        "required": false,
+        "type": "select",
+        "options": [
+          { "value": "auto", "label": "auto" },
+          { "value": "pt", "label": "pt" },
+          { "value": "safetensors", "label": "safetensors" },
+          { "value": "npcache", "label": "npcache" },
+          { "value": "dummy", "label": "dummy" },
+          { "value": "tensorizer", "label": "tensorizer" },
+          { "value": "bitsandbytes", "label": "bitsandbytes" }
+        ]
+      },
+      "DTYPE": {
+        "env_var_name": "DTYPE",
+        "value": "auto",
+        "title": "Data Type",
+        "description": "Data type for model weights and activations.",
+        "required": false,
+        "type": "select",
+        "options": [
+          { "value": "auto", "label": "auto" },
+          { "value": "half", "label": "half" },
+          { "value": "float16", "label": "float16" },
+          { "value": "bfloat16", "label": "bfloat16" },
+          { "value": "float", "label": "float" },
+          { "value": "float32", "label": "float32" }
+        ]
+      },
+      "KV_CACHE_DTYPE": {
+        "env_var_name": "KV_CACHE_DTYPE",
+        "value": "auto",
+        "title": "KV Cache Data Type",
+        "description": "Data type for KV cache storage.",
+        "required": false,
+        "type": "select",
+        "options": [
+          { "value": "auto", "label": "auto" },
+          { "value": "fp8", "label": "fp8" }
+        ]
+      },
+      "QUANTIZATION_PARAM_PATH": {
+        "env_var_name": "QUANTIZATION_PARAM_PATH",
+        "value": "",
+        "title": "Quantization Param Path",
+        "description": "Path to the JSON file containing the KV cache scaling factors.",
+        "required": false,
+        "type": "text"
+      },
+      "MAX_MODEL_LEN": {
+        "env_var_name": "MAX_MODEL_LEN",
+        "value": "",
+        "title": "Max Model Length",
+        "description": "Model context length.",
+        "required": false,
+        "type": "number"
+      },
+      "GUIDED_DECODING_BACKEND": {
+        "env_var_name": "GUIDED_DECODING_BACKEND",
+        "value": "outlines",
+        "title": "Guided Decoding Backend",
+        "description": "Which engine will be used for guided decoding by default.",
+        "required": false,
+        "type": "select",
+        "options": [
+          { "value": "outlines", "label": "outlines" },
+          { "value": "lm-format-enforcer", "label": "lm-format-enforcer" }
+        ]
+      },
+      "DISTRIBUTED_EXECUTOR_BACKEND": {
+      "env_var_name": "DISTRIBUTED_EXECUTOR_BACKEND",
+      "value": "",
+      "title": "Distributed Executor Backend",
+      "description": "Backend to use for distributed serving.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "ray", "label": "ray" },
+        { "value": "mp", "label": "mp" }
+      ]
+    },
+    "WORKER_USE_RAY": {
+      "env_var_name": "WORKER_USE_RAY",
+      "value": false,
+      "title": "Worker Use Ray",
+      "description": "Deprecated, use --distributed-executor-backend=ray.",
+      "required": false,
+      "type": "toggle"
+    },
+    "RAY_WORKERS_USE_NSIGHT": {
+      "env_var_name": "RAY_WORKERS_USE_NSIGHT",
+      "value": false,
+      "title": "Ray Workers Use Nsight",
+      "description": "If specified, use nsight to profile Ray workers.",
+      "required": false,
+      "type": "toggle"
+    },
+    "PIPELINE_PARALLEL_SIZE": {
+      "env_var_name": "PIPELINE_PARALLEL_SIZE",
+      "value": 1,
+      "title": "Pipeline Parallel Size",
+      "description": "Number of pipeline stages.",
+      "required": false,
+      "type": "number"
+    },
+    "TENSOR_PARALLEL_SIZE": {
+      "env_var_name": "TENSOR_PARALLEL_SIZE",
+      "value": 1,
+      "title": "Tensor Parallel Size",
+      "description": "Number of tensor parallel replicas.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_PARALLEL_LOADING_WORKERS": {
+      "env_var_name": "MAX_PARALLEL_LOADING_WORKERS",
+      "value": "",
+      "title": "Max Parallel Loading Workers",
+      "description": "Load model sequentially in multiple batches.",
+      "required": false,
+      "type": "number"
+    },
+    "ENABLE_PREFIX_CACHING": {
+      "env_var_name": "ENABLE_PREFIX_CACHING",
+      "value": false,
+      "title": "Enable Prefix Caching",
+      "description": "Enables automatic prefix caching.",
+      "required": false,
+      "type": "toggle"
+    },
+    "DISABLE_SLIDING_WINDOW": {
+      "env_var_name": "DISABLE_SLIDING_WINDOW",
+      "value": false,
+      "title": "Disable Sliding Window",
+      "description": "Disables sliding window, capping to sliding window size.",
+      "required": false,
+      "type": "toggle"
+    },
+    "USE_V2_BLOCK_MANAGER": {
+      "env_var_name": "USE_V2_BLOCK_MANAGER",
+      "value": false,
+      "title": "Use V2 Block Manager",
+      "description": "Use BlockSpaceMangerV2.",
+      "required": false,
+      "type": "toggle"
+    },
+    "NUM_LOOKAHEAD_SLOTS": {
+      "env_var_name": "NUM_LOOKAHEAD_SLOTS",
+      "value": 0,
+      "title": "Num Lookahead Slots",
+      "description": "Experimental scheduling config necessary for speculative decoding.",
+      "required": false,
+      "type": "number"
+    },
+    "SEED": {
+      "env_var_name": "SEED",
+      "value": 0,
+      "title": "Seed",
+      "description": "Random seed for operations.",
+      "required": false,
+      "type": "number"
+    },
+    "NUM_GPU_BLOCKS_OVERRIDE": {
+      "env_var_name": "NUM_GPU_BLOCKS_OVERRIDE",
+      "value": "",
+      "title": "Num GPU Blocks Override",
+      "description": "If specified, ignore GPU profiling result and use this number of GPU blocks.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_NUM_BATCHED_TOKENS": {
+      "env_var_name": "MAX_NUM_BATCHED_TOKENS",
+      "value": "",
+      "title": "Max Num Batched Tokens",
+      "description": "Maximum number of batched tokens per iteration.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_NUM_SEQS": {
+      "env_var_name": "MAX_NUM_SEQS",
+      "value": 256,
+      "title": "Max Num Seqs",
+      "description": "Maximum number of sequences per iteration.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_LOGPROBS": {
+      "env_var_name": "MAX_LOGPROBS",
+      "value": 20,
+      "title": "Max Logprobs",
+      "description": "Max number of log probs to return when logprobs is specified in SamplingParams.",
+      "required": false,
+      "type": "number"
+    },
+    "DISABLE_LOG_STATS": {
+      "env_var_name": "DISABLE_LOG_STATS",
+      "value": false,
+      "title": "Disable Log Stats",
+      "description": "Disable logging statistics.",
+      "required": false,
+      "type": "toggle"
+    },
+    "QUANTIZATION": {
+      "env_var_name": "QUANTIZATION",
+      "value": "",
+      "title": "Quantization",
+      "description": "Method used to quantize the weights.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "None", "label": "None" },
+        { "value": "awq", "label": "AWQ" },
+        { "value": "squeezellm", "label": "SqueezeLLM" },
+        { "value": "gptq", "label": "GPTQ" }
+      ]
+    },
+    "ROPE_SCALING": {
+      "env_var_name": "ROPE_SCALING",
+      "value": "",
+      "title": "RoPE Scaling",
+      "description": "RoPE scaling configuration in JSON format.",
+      "required": false,
+      "type": "text"
+    },
+    "ROPE_THETA": {
+      "env_var_name": "ROPE_THETA",
+      "value": "",
+      "title": "RoPE Theta",
+      "description": "RoPE theta. Use with rope_scaling.",
+      "required": false,
+      "type": "number"
+    },
+    "TOKENIZER_POOL_SIZE": {
+      "env_var_name": "TOKENIZER_POOL_SIZE",
+      "value": 0,
+      "title": "Tokenizer Pool Size",
+      "description": "Size of tokenizer pool to use for asynchronous tokenization.",
+      "required": false,
+      "type": "number"
+    },
+    "TOKENIZER_POOL_TYPE": {
+      "env_var_name": "TOKENIZER_POOL_TYPE",
+      "value": "ray",
+      "title": "Tokenizer Pool Type",
+      "description": "Type of tokenizer pool to use for asynchronous tokenization.",
+      "required": false,
+      "type": "text"
+    },
+    "TOKENIZER_POOL_EXTRA_CONFIG": {
+      "env_var_name": "TOKENIZER_POOL_EXTRA_CONFIG",
+      "value": "",
+      "title": "Tokenizer Pool Extra Config",
+      "description": "Extra config for tokenizer pool.",
+      "required": false,
+      "type": "text"
+    },
+    "ENABLE_LORA": {
+      "env_var_name": "ENABLE_LORA",
+      "value": false,
+      "title": "Enable LoRA",
+      "description": "If True, enable handling of LoRA adapters.",
+      "required": false,
+      "type": "toggle"
+    },
+    "MAX_LORAS": {
+      "env_var_name": "MAX_LORAS",
+      "value": 1,
+      "title": "Max LoRAs",
+      "description": "Max number of LoRAs in a single batch.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_LORA_RANK": {
+      "env_var_name": "MAX_LORA_RANK",
+      "value": 16,
+      "title": "Max LoRA Rank",
+      "description": "Max LoRA rank.",
+      "required": false,
+      "type": "number"
+    },
+    "LORA_EXTRA_VOCAB_SIZE": {
+      "env_var_name": "LORA_EXTRA_VOCAB_SIZE",
+      "value": 256,
+      "title": "LoRA Extra Vocab Size",
+      "description": "Maximum size of extra vocabulary for LoRA adapters.",
+      "required": false,
+      "type": "number"
+    },
+    "LORA_DTYPE": {
+      "env_var_name": "LORA_DTYPE",
+      "value": "auto",
+      "title": "LoRA Data Type",
+      "description": "Data type for LoRA.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "auto", "label": "auto" },
+        { "value": "float16", "label": "float16" },
+        { "value": "bfloat16", "label": "bfloat16" },
+        { "value": "float32", "label": "float32" }
+      ]
+    },
+    "LONG_LORA_SCALING_FACTORS": {
+      "env_var_name": "LONG_LORA_SCALING_FACTORS",
+      "value": "",
+      "title": "Long LoRA Scaling Factors",
+      "description": "Specify multiple scaling factors for LoRA adapters.",
+      "required": false,
+      "type": "text"
+    },
+    "MAX_CPU_LORAS": {
+      "env_var_name": "MAX_CPU_LORAS",
+      "value": "",
+      "title": "Max CPU LoRAs",
+      "description": "Maximum number of LoRAs to store in CPU memory.",
+      "required": false,
+      "type": "number"
+    },
+    "FULLY_SHARDED_LORAS": {
+      "env_var_name": "FULLY_SHARDED_LORAS",
+      "value": false,
+      "title": "Fully Sharded LoRAs",
+      "description": "Enable fully sharded LoRA layers.",
+      "required": false,
+      "type": "toggle"
+    },
+    "DEVICE": {
+      "env_var_name": "DEVICE",
+      "value": "auto",
+      "title": "Device",
+      "description": "Device type for vLLM execution.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "auto", "label": "auto" },
+        { "value": "cuda", "label": "cuda" },
+        { "value": "neuron", "label": "neuron" },
+        { "value": "cpu", "label": "cpu" },
+        { "value": "openvino", "label": "openvino" },
+        { "value": "tpu", "label": "tpu" },
+        { "value": "xpu", "label": "xpu" }
+      ]
+    },
+    "SCHEDULER_DELAY_FACTOR": {
+      "env_var_name": "SCHEDULER_DELAY_FACTOR",
+      "value": 0.0,
+      "title": "Scheduler Delay Factor",
+      "description": "Apply a delay before scheduling next prompt.",
+      "required": false,
+      "type": "number"
+    },
+    "ENABLE_CHUNKED_PREFILL": {
+      "env_var_name": "ENABLE_CHUNKED_PREFILL",
+      "value": false,
+      "title": "Enable Chunked Prefill",
+      "description": "Enable chunked prefill requests.",
+      "required": false,
+      "type": "toggle"
+    },
+    "SPECULATIVE_MODEL": {
+      "env_var_name": "SPECULATIVE_MODEL",
+      "value": "",
+      "title": "Speculative Model",
+      "description": "The name of the draft model to be used in speculative decoding.",
+      "required": false,
+      "type": "text"
+    },
+    "NUM_SPECULATIVE_TOKENS": {
+      "env_var_name": "NUM_SPECULATIVE_TOKENS",
+      "value": "",
+      "title": "Num Speculative Tokens",
+      "description": "The number of speculative tokens to sample from the draft model.",
+      "required": false,
+      "type": "number"
+    },
+    "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE": {
+      "env_var_name": "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
+      "value": "",
+      "title": "Speculative Draft Tensor Parallel Size",
+      "description": "Number of tensor parallel replicas for the draft model.",
+      "required": false,
+      "type": "number"
+    },
+    "SPECULATIVE_MAX_MODEL_LEN": {
+      "env_var_name": "SPECULATIVE_MAX_MODEL_LEN",
+      "value": "",
+      "title": "Speculative Max Model Length",
+      "description": "The maximum sequence length supported by the draft model.",
+      "required": false,
+      "type": "number"
+    },
+    "SPECULATIVE_DISABLE_BY_BATCH_SIZE": {
+      "env_var_name": "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
+      "value": "",
+      "title": "Speculative Disable by Batch Size",
+      "description": "Disable speculative decoding if the number of enqueue requests is larger than this value.",
+      "required": false,
+      "type": "number"
+    },
+    "NGRAM_PROMPT_LOOKUP_MAX": {
+      "env_var_name": "NGRAM_PROMPT_LOOKUP_MAX",
+      "value": "",
+      "title": "Ngram Prompt Lookup Max",
+      "description": "Max size of window for ngram prompt lookup in speculative decoding.",
+      "required": false,
+      "type": "number"
+    },
+    "NGRAM_PROMPT_LOOKUP_MIN": {
+      "env_var_name": "NGRAM_PROMPT_LOOKUP_MIN",
+      "value": "",
+      "title": "Ngram Prompt Lookup Min",
+      "description": "Min size of window for ngram prompt lookup in speculative decoding.",
+      "required": false,
+      "type": "number"
+    },
+    "SPEC_DECODING_ACCEPTANCE_METHOD": {
+      "env_var_name": "SPEC_DECODING_ACCEPTANCE_METHOD",
+      "value": "rejection_sampler",
+      "title": "Speculative Decoding Acceptance Method",
+      "description": "Specify the acceptance method for draft token verification in speculative decoding.",
+      "required": false,
+      "type": "select",
+      "options": [
+        { "value": "rejection_sampler", "label": "rejection_sampler" },
+        { "value": "typical_acceptance_sampler", "label": "typical_acceptance_sampler" }
+      ]
+    },
+    "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD": {
+      "env_var_name": "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD",
+      "value": "",
+      "title": "Typical Acceptance Sampler Posterior Threshold",
+      "description": "Set the lower bound threshold for the posterior probability of a token to be accepted.",
+      "required": false,
+      "type": "number"
+    },
+    "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA": {
+      "env_var_name": "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
+      "value": "",
+      "title": "Typical Acceptance Sampler Posterior Alpha",
+      "description": "A scaling factor for the entropy-based threshold for token acceptance.",
+      "required": false,
+      "type": "number"
+    },
+    "MODEL_LOADER_EXTRA_CONFIG": {
+      "env_var_name": "MODEL_LOADER_EXTRA_CONFIG",
+      "value": "",
+      "title": "Model Loader Extra Config",
+      "description": "Extra config for model loader.",
+      "required": false,
+      "type": "text"
+    },
+    "PREEMPTION_MODE": {
+      "env_var_name": "PREEMPTION_MODE",
+      "value": "",
+      "title": "Preemption Mode",
+      "description": "If 'recompute', the engine performs preemption-aware recomputation. If 'save', the engine saves activations into the CPU memory as preemption happens.",
+      "required": false,
+      "type": "text"
+    },
+    "PREEMPTION_CHECK_PERIOD": {
+      "env_var_name": "PREEMPTION_CHECK_PERIOD",
+      "value": 1.0,
+      "title": "Preemption Check Period",
+      "description": "How frequently the engine checks if a preemption happens.",
+      "required": false,
+      "type": "number"
+    },
+    "PREEMPTION_CPU_CAPACITY": {
+      "env_var_name": "PREEMPTION_CPU_CAPACITY",
+      "value": 2,
+      "title": "Preemption CPU Capacity",
+      "description": "The percentage of CPU memory used for the saved activations.",
+      "required": false,
+      "type": "number"
+    },
+    "MAX_LOG_LEN": {
+      "env_var_name": "MAX_LOG_LEN",
+      "value": "",
+      "title": "Max Log Length",
+      "description": "Max number of characters or ID numbers being printed in log.",
+      "required": false,
+      "type": "number"
+    },
+    "DISABLE_LOGGING_REQUEST": {
+      "env_var_name": "DISABLE_LOGGING_REQUEST",
+      "value": false,
+      "title": "Disable Logging Request",
+      "description": "Disable logging requests.",
+      "required": false,
+      "type": "toggle"
+    },
+    "TOKENIZER_NAME": {
+      "env_var_name": "TOKENIZER_NAME",
+      "value": "",
+      "title": "Tokenizer Name",
+      "description": "Tokenizer repo to use a different tokenizer than the model's default",
+      "required": false,
+      "type": "text"
+    },
+    "TOKENIZER_REVISION": {
+      "env_var_name": "TOKENIZER_REVISION",
+      "value": "",
+      "title": "Tokenizer Revision",
+      "description": "Tokenizer revision to load",
+      "required": false,
+      "type": "text"
+    },
+    "CUSTOM_CHAT_TEMPLATE": {
+      "env_var_name": "CUSTOM_CHAT_TEMPLATE",
+      "value": "",
+      "title": "Custom Chat Template",
+      "description": "Custom chat jinja template",
+      "required": false,
+      "type": "text"
+    },
+    "GPU_MEMORY_UTILIZATION": {
+      "env_var_name": "GPU_MEMORY_UTILIZATION",
+      "value": "0.95",
+      "title": "GPU Memory Utilization",
+      "description": "Sets GPU VRAM utilization",
+      "required": false,
+      "type": "number"
+    },
+    "BLOCK_SIZE": {
+      "env_var_name": "BLOCK_SIZE",
+      "value": "16",
+      "title": "Block Size",
+      "description": "Token block size for contiguous chunks of tokens",
+      "required": false,
+      "type": "number"
+    },
+    "SWAP_SPACE": {
+      "env_var_name": "SWAP_SPACE",
+      "value": "4",
+      "title": "Swap Space",
+      "description": "CPU swap space size (GiB) per GPU",
+      "required": false,
+      "type": "number"
+    },
+    "ENFORCE_EAGER": {
+      "env_var_name": "ENFORCE_EAGER",
+      "value": false,
+      "title": "Enforce Eager",
+      "description": "Always use eager-mode PyTorch. If False (0), will use eager mode and CUDA graph in hybrid for maximal performance and flexibility",
+      "required": false,
+      "type": "toggle"
+    },
+    "MAX_SEQ_LEN_TO_CAPTURE": {
+      "env_var_name": "MAX_SEQ_LEN_TO_CAPTURE",
+      "value": "8192",
+      "title": "CUDA Graph Max Content Length",
+      "description": "Maximum context length covered by CUDA graphs. If a sequence has context length larger than this, we fall back to eager mode",
+      "required": false,
+      "type": "number"
+    },
+    "DISABLE_CUSTOM_ALL_REDUCE": {
+      "env_var_name": "DISABLE_CUSTOM_ALL_REDUCE",
+      "value": false,
+      "title": "Disable Custom All Reduce",
+      "description": "Enables or disables custom all reduce",
+      "required": false,
+      "type": "toggle"
+    },
+    "DEFAULT_BATCH_SIZE": {
+      "env_var_name": "DEFAULT_BATCH_SIZE",
+      "value": "50",
+      "title": "Default Final Batch Size",
+      "description": "Default and Maximum batch size for token streaming to reduce HTTP calls",
+      "required": false,
+      "type": "number"
+    },
+    "DEFAULT_MIN_BATCH_SIZE": {
+      "env_var_name": "DEFAULT_MIN_BATCH_SIZE",
+      "value": "1",
+      "title": "Default Starting Batch Size",
+      "description": "Batch size for the first request, which will be multiplied by the growth factor every subsequent request",
+      "required": false,
+      "type": "number"
+    },
+    "DEFAULT_BATCH_SIZE_GROWTH_FACTOR": {
+      "env_var_name": "DEFAULT_BATCH_SIZE_GROWTH_FACTOR",
+      "value": "3",
+      "title": "Default Batch Size Growth Factor",
+      "description": "Growth factor for dynamic batch size",
+      "required": false,
+      "type": "number"
+    },
+    "RAW_OPENAI_OUTPUT": {
+      "env_var_name": "RAW_OPENAI_OUTPUT",
+      "value": true,
+      "title": "Raw OpenAI Output",
+      "description": "Raw OpenAI output instead of just the text",
+      "required": false,
+      "type": "toggle"
+    },
+    "OPENAI_RESPONSE_ROLE": {
+      "env_var_name": "OPENAI_RESPONSE_ROLE",
+      "value": "assistant",
+      "title": "OpenAI Response Role",
+      "description": "Role of the LLM's Response in OpenAI Chat Completions",
+      "required": false,
+      "type": "text"
+    },
+    "OPENAI_SERVED_MODEL_NAME_OVERRIDE": {
+      "env_var_name": "OPENAI_SERVED_MODEL_NAME_OVERRIDE",
+      "value": "",
+      "title": "OpenAI Served Model Name Override",
+      "description": "Overrides the name of the served model from model repo/path to specified name, which you will then be able to use the value for the `model` parameter when making OpenAI requests",
+      "required": false,
+      "type": "text"
+    },
+    "MAX_CONCURRENCY": {
+      "env_var_name": "MAX_CONCURRENCY",
+      "value": "300",
+      "title": "Max Concurrency",
+      "description": "Max concurrent requests per worker. vLLM has an internal queue, so you don't have to worry about limiting by VRAM, this is for improving scaling/load balancing efficiency",
+      "required": false,
+      "type": "number"
+    },
+    "MODEL_REVISION": {
+      "env_var_name": "MODEL_REVISION",
+      "value": "",
+      "title": "Model Revision",
+      "description": "Model revision (branch) to load",
+      "required": false,
+      "type": "text"
+    },
+    "BASE_PATH": {
+      "env_var_name": "BASE_PATH",
+      "value": "/runpod-volume",
+      "title": "Base Path",
+      "description": "Storage directory for Huggingface cache and model",
+      "required": false,
+      "type": "text"
+    },
+    "DISABLE_LOG_REQUESTS": {
+      "env_var_name": "DISABLE_LOG_REQUESTS",
+      "value": true,
+      "title": "Disable Log Requests",
+      "description": "Enables or disables vLLM request logging",
+      "required": false,
+      "type": "toggle"
+    }
+  }
+}