Update tests.json

Merge pull request #182 from runpod-workers/up-0.8.5
update vllm
2025-05-08 17:12:59 -07:00 · 2025-05-08 11:40:23 -07:00 · 2025-05-08 11:34:58 -07:00 · 2025-05-07 12:31:15 -07:00 · 2025-05-07 12:29:33 -07:00 · 2025-05-07 11:14:50 -07:00
7 changed files with 170 additions and 31 deletions
@@ -15,18 +15,6 @@
            {
                "key": "MODEL_NAME",
                "value": "facebook/opt-350m"
-            },
-            {
-                "key": "HF_TOKEN",
-                "value": "hf_dummy_token_for_testing_purposes_only"
-            },
-            {
-                "key": "MAX_MODEL_LEN",
-                "value": "8192"
-            },
-            {
-                "key": "GPU_MEMORY_UTILIZATION",
-                "value": "0.95"
            }
        ],
        "allowedCudaVersions": [
@@ -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==0.8.3 && \
+RUN python3 -m pip install vllm==0.8.4 && \
    python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3

 # Setup for Option 2: Building the Image with the Model included
@@ -18,9 +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 `v2.3.0` with vLLM `0.8.3` now available under `stable` tags 
+### 2. Worker vLLM `v2.5.0` with vLLM `0.8.5` now available under `stable` tags 

-Update v2.3.0 is now available, use the image tag `runpod/worker-v1-vllm:v2.3.0stable-cuda12.1.0`.
+Update v2.5.0 is now available, use the image tag `runpod/worker-v1-vllm:v2.5.0stable-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! 
@@ -38,9 +38,8 @@ Worker vLLM is now cached on all RunPod machines, resulting in near-instant depl
    - [Environment Variables](#environment-variables)
      - [LLM Settings](#llm-settings)
      - [Tokenizer Settings](#tokenizer-settings)
-      - [Tensor Parallelism (Multi-GPU) Settings](#tensor-parallelism-multi-gpu-settings)
-      - [System Settings](#system-settings)
-      - [Streaming Batch Size](#streaming-batch-size)
+      - [System and Parallelism Settings](#system-and-parallelism-settings)
+      - [Streaming Batch Size Settings](#streaming-batch-size-settings)
      - [OpenAI Settings](#openai-settings)
      - [Serverless Settings](#serverless-settings)
  - [Option 2: Build Docker Image with Model Inside](#option-2-build-docker-image-with-model-inside)
@@ -82,7 +81,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s

 | CUDA Version | Stable Image Tag                  | Development Image Tag             | Note                                                        |
 |--------------|-----------------------------------|-----------------------------------|----------------------------------------------------------------------|
-| 12.1.0       | `runpod/worker-v1-vllm:v2.3.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v2.3.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
+| 12.1.0       | `runpod/worker-v1-vllm:v2.5.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v2.5.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |



@@ -91,9 +90,10 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 #### Prerequisites
 - RunPod Account

-#### Environment Variables/Settings
+#### Environment Variables
 > Note:  `0` is equivalent to `False` and `1` is equivalent to `True` for boolean as int values.

+#### LLM Settings
 | `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
 |-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `MODEL_NAME`                                   | 'facebook/opt-125m'   | `str`                                      | Name or path of the Hugging Face model to use. |
@@ -125,7 +125,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `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                  | ['awq', 'squeezellm', 'gptq']              | Method used to quantize the weights. |
+| `QUANTIZATION`                            | None                  | ['awq', 'squeezellm', 'gptq', 'bitsandbytes']              | 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. |
 | `TOKENIZER_POOL_SIZE`                     | 0                     | `int`                                      | Size of tokenizer pool to use for asynchronous tokenization. |
@@ -157,11 +157,20 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `PREEMPTION_CPU_CAPACITY`                 | 2                     | `float`                                    | The percentage of CPU memory used for the saved activations. |
 | `DISABLE_LOGGING_REQUEST`                 | False                 | `bool`                                     | Disable logging requests. |
 | `MAX_LOG_LEN`                             | None                  | `int`                                      | Max number of prompt characters or prompt ID numbers being printed in log. |
-**Tokenizer Settings**
+
+
+#### Tokenizer Settings
+
+| `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
+|-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `TOKENIZER_NAME`                    | `None`               | `str`                                         |Tokenizer repository to use a different tokenizer than the model's default. |
 | `TOKENIZER_REVISION`                | `None`               | `str`                                         |Tokenizer revision to load. |
 | `CUSTOM_CHAT_TEMPLATE`              | `None`               | `str` of single-line jinja template                                         |Custom chat jinja template. [More Info](https://huggingface.co/docs/transformers/chat_templating) |
-**System, GPU, and Tensor Parallelism(Multi-GPU) Settings**
+
+#### System and Parallelism Settings
+
+| `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
+|-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `GPU_MEMORY_UTILIZATION`            | `0.95`               | `float`                                         |Sets GPU VRAM utilization. |
 | `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. |
@@ -169,16 +178,31 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 | `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**:  
+
+
+#### Streaming Batch Size Settings
+
+The way this works is that the first request will have a batch size of `DEFAULT_MIN_BATCH_SIZE`, and each subsequent request will have a batch size of `previous_batch_size * DEFAULT_BATCH_SIZE_GROWTH_FACTOR`. This will continue until the batch size reaches `DEFAULT_BATCH_SIZE`. E.g. for the default values, the batch sizes will be `1, 3, 9, 27, 50, 50, 50, ...`. You can also specify this per request, with inputs `max_batch_size`, `min_batch_size`, and `batch_size_growth_factor`. This has nothing to do with vLLM's internal batching, but rather the number of tokens sent in each HTTP request from the worker
+
+
+| `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
+|-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `DEFAULT_BATCH_SIZE`                | `50`                 | `int`                                         |Default and Maximum batch size for token streaming to reduce HTTP calls. |
 | `DEFAULT_MIN_BATCH_SIZE`            | `1`                  | `int`                                         |Batch size for the first request, which will be multiplied by the growth factor every subsequent request. |
 | `DEFAULT_BATCH_SIZE_GROWTH_FACTOR`  | `3`                  | `float`                                         |Growth factor for dynamic batch size. |
-The way this works is that the first request will have a batch size of `DEFAULT_MIN_BATCH_SIZE`, and each subsequent request will have a batch size of `previous_batch_size * DEFAULT_BATCH_SIZE_GROWTH_FACTOR`. This will continue until the batch size reaches `DEFAULT_BATCH_SIZE`. E.g. for the default values, the batch sizes will be `1, 3, 9, 27, 50, 50, 50, ...`. You can also specify this per request, with inputs `max_batch_size`, `min_batch_size`, and `batch_size_growth_factor`. This has nothing to do with vLLM's internal batching, but rather the number of tokens sent in each HTTP request from the worker |
-**OpenAI Settings**
+
+#### OpenAI Settings
+
+| `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
+|-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `RAW_OPENAI_OUTPUT`                 | `1`                  | boolean as `int`                                         |Enables raw OpenAI SSE format string output when streaming.  **Required** to be enabled (which it is by default) for OpenAI compatibility. |
 | `OPENAI_SERVED_MODEL_NAME_OVERRIDE` | `None`               | `str`                                         |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 |
 | `OPENAI_RESPONSE_ROLE`              | `assistant`          | `str`                       |Role of the LLM's Response in OpenAI Chat Completions. |
-**Serverless Settings**
+
+#### Serverless Settings
+
+| `Name`                                    | `Default`             | `Type/Choices`                             | `Description` |
+|-------------------------------------------|-----------------------|--------------------------------------------|---------------|
 | `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`                 | False                  | `bool`                                         |Enables or disables vLLM stats logging. |
 | `DISABLE_LOG_REQUESTS`              | False                  | `bool`                                         |Enables or disables vLLM request logging. |
@@ -4,8 +4,9 @@ pyarrow
 runpod~=1.7.7
 huggingface-hub
 packaging
-typing-extensions==4.7.1
+typing-extensions>=4.8.0
 pydantic
 pydantic-settings
 hf-transfer
 transformers
+bitsandbytes>=0.45.0
@@ -7,7 +7,7 @@ variable "REPOSITORY" {
 }

 variable "BASE_IMAGE_VERSION" {
-  default = "v2.0.0stable"
+  default = "v2.4.0stable"
 }

 group "all" {
@@ -148,6 +148,9 @@ def get_engine_args():
    # Rename and match to vllm args
    args = match_vllm_args(args)

+    if args.get("load_format") == "bitsandbytes":
+        args["quantization"] = args["load_format"]
+    
    # Set tensor parallel size and max parallel loading workers if more than 1 GPU is available
    num_gpus = device_count()
    if num_gpus > 1:
@@ -1,5 +1,127 @@
 {
  "versions": {
+    "0.8.5": {
+      "imageName": "runpod/worker-v1-vllm:v2.5.0stable-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", "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",
+            "ENABLE_AUTO_TOOL_CHOICE", "TOOL_CALL_PARSER"
+          ]
+        },
+        {
+          "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"
+          ]
+        }
+      ]
+    },
+    "0.8.4": {
+      "imageName": "runpod/worker-v1-vllm:v2.4.0stable-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", "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",
+            "ENABLE_AUTO_TOOL_CHOICE", "TOOL_CALL_PARSER"
+          ]
+        },
+        {
+          "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"
+          ]
+        }
+      ]
+    },
    "0.8.3": {
      "imageName": "runpod/worker-v1-vllm:v2.3.0stable-cuda12.1.0",
      "minimumCudaVersion": "12.1",
@@ -802,14 +924,15 @@
    "env_var_name": "QUANTIZATION",
    "value": "",
    "title": "Quantization",
-    "description": "Method used to quantize the weights.",
+    "description": "Method used to quantize the weights.\nif the `Load Format` is 'bitsandbytes' then `Quantization` will be forced to 'bitsandbytes'",
    "required": false,
    "type": "select",
    "options": [
      { "value": "None", "label": "None" },
      { "value": "awq", "label": "AWQ" },
      { "value": "squeezellm", "label": "SqueezeLLM" },
-      { "value": "gptq", "label": "GPTQ" }
+      { "value": "gptq", "label": "GPTQ" },
+      { "value": "bitsandbytes", "label": "bitsandbytes" }
    ]
  },
  "ROPE_SCALING": {
Author	SHA1	Message	Date
Marut PandyaandGitHub	9b7ca4d0b0	Update tests.json	2025-05-08 17:12:59 -07:00
Marut PandyaandGitHub	2a4eaf0356	Merge pull request #182 from runpod-workers/up-0.8.5 update vllm	2025-05-08 11:40:23 -07:00
pandyamarut	ba19cc97bf	update vllm Signed-off-by: pandyamarut <pandyamarut@gmail.com>	2025-05-08 11:34:58 -07:00
Marut PandyaandGitHub	6075f2c590	Merge pull request #181 from runpod-workers/revert-177-main Revert "fix: added back limit_mm_per_prompt to engine args"	2025-05-07 12:31:15 -07:00
Marut PandyaandGitHub	a9786a2481	Revert "fix: added back limit_mm_per_prompt to engine args"	2025-05-07 12:29:33 -07:00
Marut PandyaandGitHub	0b6bc7a2be	Update tests.json	2025-05-07 11:14:50 -07:00
Marut PandyaandGitHub	d0ab58ee17	Merge pull request #180 from muhsinking/patch-1 Update README.md table to fix table of contents links	2025-05-03 21:02:37 -07:00
Marut PandyaandGitHub	4e474c41c8	Merge pull request #177 from aleksandar-babic/main fix: added back limit_mm_per_prompt to engine args	2025-05-03 21:01:58 -07:00
Mo KingandGitHub	e9d13c155e	Update README.md to fix table of contents links to environment variable sections Separates environment variables into multiple tables, so that the table of contents will correctly jump to the appropriate section when clicked.	2025-04-30 12:45:54 -04:00
Marut PandyaandGitHub	e807342e90	Merge pull request #178 from runpod-workers/up-0.8.4 update vllm	2025-04-21 13:15:03 -07:00
pandyamarut	f33e8d2bcd	update vllm Signed-off-by: pandyamarut <pandyamarut@gmail.com>	2025-04-21 13:14:32 -07:00
Marut PandyaandGitHub	6b64bb93bd	Merge pull request #147 from mohamednaji7/BitsAndBytes completing the "bitsandbytes" option - based on https://docs.vllm.ai/en/stable/quantization/bnb.html	2025-04-21 11:39:53 -07:00
Aleksandar Babic	a53cf777ff	chore: added limit_mm_per_prompt to worker config	2025-04-21 10:14:05 -04:00
Aleksandar Babic	cfc258674b	chore: added trailing comma to the final arg	2025-04-21 10:06:08 -04:00
Aleksandar Babic	8beafed06b	fix: added back limit_mm_per_prompt to engine args	2025-04-21 10:02:46 -04:00
Mohamed NagyandGitHub	04288240f6	updating the `.` in ['awq', 'squeezellm', 'gptq'. 'bitsandbytes'] for the QUNATIZATION row	2025-02-02 14:58:48 +02:00
Mohamed NagyandGitHub	9299f43b8b	solving "typing_extensions" compatibility with "bitsandbytes" ``` 2025-01-22 18:04:01 [INFO] > [stage-0 5/8] RUN --mount=type=cache,target=/root/.cache/pip python3 -m pip install --upgrade pip && python3 -m pip install --upgrade -r /requirements.txt: 2025-01-22 18:04:01 [INFO] #13 8.904 2025-01-22 18:04:01 [INFO] #13 8.904 The conflict is caused by: 2025-01-22 18:04:01 [INFO] #13 8.904 The user requested typing-extensions==4.7.1 2025-01-22 18:04:01 [INFO] #13 8.904 bitsandbytes 0.45.0 depends on typing_extensions>=4.8.0 ```	2025-01-22 18:06:46 +02:00
mohamednaji7	131c17569f	correct access to "args" dictionary	2025-01-21 22:33:28 +02:00
mohamednaji7	8882f6d50b	adding 'bitsandbytes' to `QUANTIZATION`	2025-01-21 14:46:40 +02:00
mohamednaji7	331bc30101	adding 'bitsandbytes' option	2025-01-21 14:08:37 +02:00
mohamednaji7	a27f72a33a	inforce args.quantization for bnb load_froamt	2025-01-21 14:01:32 +02:00
mohamednaji7	7167985f23	including bitsandbytes "src:https://docs.vllm.ai/en/stable/quantization/bnb.html "	2025-01-21 13:49:36 +02:00