[Doc] Fix local input path in run-batch examples across docs (#53220)
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@@ -196,7 +196,7 @@ Running with a local file:
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```bash
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vllm run-batch \
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-i features/openai_batch/openai_example_batch.jsonl \
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-i examples/features/openai_batch/openai_example_batch.jsonl \
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-o results.jsonl \
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--model meta-llama/Meta-Llama-3-8B-Instruct
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```
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@@ -36,7 +36,7 @@ wget https://raw.githubusercontent.com/vllm-project/vllm/main/examples/features/
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Once you've created your batch file it should look like this
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```bash
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cat features/openai_batch/openai_example_batch.jsonl
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cat examples/features/openai_batch/openai_example_batch.jsonl
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{"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello world!"}],"max_completion_tokens": 1000}}
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{"custom_id": "request-2", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are an unhelpful assistant."},{"role": "user", "content": "Hello world!"}],"max_completion_tokens": 1000}}
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```
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@@ -49,7 +49,7 @@ You can run the batch with the following command, which will write its results t
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```bash
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python -m vllm.entrypoints.launchers.run_batch \
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-i features/openai_batch/openai_example_batch.jsonl \
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-i examples/features/openai_batch/openai_example_batch.jsonl \
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-o results.jsonl \
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--model meta-llama/Meta-Llama-3-8B-Instruct
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```
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@@ -58,7 +58,7 @@ or use command-line:
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```bash
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vllm run-batch \
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-i features/openai_batch/openai_example_batch.jsonl \
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-i examples/features/openai_batch/openai_example_batch.jsonl \
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-o results.jsonl \
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--model meta-llama/Meta-Llama-3-8B-Instruct
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```
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@@ -119,7 +119,7 @@ wget https://raw.githubusercontent.com/vllm-project/vllm/main/examples/features/
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Once you've created your batch file it should look like this
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```bash
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cat features/openai_batch/openai_example_batch.jsonl
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cat examples/features/openai_batch/openai_example_batch.jsonl
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{"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello world!"}],"max_completion_tokens": 1000}}
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{"custom_id": "request-2", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "messages": [{"role": "system", "content": "You are an unhelpful assistant."},{"role": "user", "content": "Hello world!"}],"max_completion_tokens": 1000}}
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```
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@@ -127,7 +127,7 @@ cat features/openai_batch/openai_example_batch.jsonl
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Now upload your batch file to your S3 bucket.
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```bash
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aws s3 cp features/openai_batch/openai_example_batch.jsonl s3://MY_BUCKET/MY_INPUT_FILE.jsonl
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aws s3 cp examples/features/openai_batch/openai_example_batch.jsonl s3://MY_BUCKET/MY_INPUT_FILE.jsonl
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```
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### Step 2: Generate your presigned urls
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