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1 Parent(s): b826155

feat(llama3.2): using Llama-3.2-3B-Instruct 0cb88a4f764b7a12671c53f0838cd831a0843b95

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Files changed (2) hide show
  1. run-llama.sh +3 -3
  2. run-sailor.sh +3 -3
run-llama.sh CHANGED
@@ -1,7 +1,7 @@
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  #!/bin/sh
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- printf "Running meta-llama/Llama-3.2-1B-Instruct using vLLM OpenAI compatible API Server at port %s\n" "7860"
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  # Llama-3.2-3B-Instruct max context length is 131072, but we reduce it to 32k.
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  # 32k tokens, 3/4 of 32k is 24k words, each page average is 500 or 0.5k words,
@@ -19,8 +19,8 @@ printf "Running meta-llama/Llama-3.2-1B-Instruct using vLLM OpenAI compatible AP
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  # params with the sail/Sailor-1.8B-Chat, I use the
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  # meta-llama/Llama-3.2-1B-Instruct rev 9213176726f574b556790deb65791e0c5aa438b6
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  python -u /app/openai_compatible_api_server.py \
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- --model meta-llama/Llama-3.2-1B-Instruct \
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- --revision 9213176726f574b556790deb65791e0c5aa438b6 \
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  --host 0.0.0.0 \
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  --port 7860 \
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  --max-num-batched-tokens 32768 \
 
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  #!/bin/sh
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+ printf "Running meta-llama/Llama-3.2-3B-Instruct using vLLM OpenAI compatible API Server at port %s\n" "7860"
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  # Llama-3.2-3B-Instruct max context length is 131072, but we reduce it to 32k.
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  # 32k tokens, 3/4 of 32k is 24k words, each page average is 500 or 0.5k words,
 
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  # params with the sail/Sailor-1.8B-Chat, I use the
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  # meta-llama/Llama-3.2-1B-Instruct rev 9213176726f574b556790deb65791e0c5aa438b6
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  python -u /app/openai_compatible_api_server.py \
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+ --model meta-llama/Llama-3.2-3B-Instruct \
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+ --revision 0cb88a4f764b7a12671c53f0838cd831a0843b95 \
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  --host 0.0.0.0 \
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  --port 7860 \
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  --max-num-batched-tokens 32768 \
run-sailor.sh CHANGED
@@ -1,7 +1,7 @@
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  #!/bin/sh
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- printf "Running sail/Sailor-1.8B-Chat using vLLM OpenAI compatible API Server at port %s\n" "7860"
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  # Using the 1.8B version because the 4B version cannot be loaded due to memory constraints.
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  # Reducing max-num-batched-tokens to 7536 because got this error:
@@ -11,8 +11,8 @@ printf "Running sail/Sailor-1.8B-Chat using vLLM OpenAI compatible API Server at
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  # INFO 11-27 15:32:10 gpu_executor.py:117] Maximum concurrency for 32768 tokens per request: 0.23x
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  # ERROR 11-27 15:32:10 engine.py:366] The model's max seq len (32768) is larger than the maximum number of tokens that can be stored in KV cache (7536). Try increasing `gpu_memory_utilization` or decreasing `max_model_len` when initializing the engine.
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  python -u /app/openai_compatible_api_server.py \
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- --model sail/Sailor-1.8B-Chat \
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- --revision 04b86803d4011d4bfd80f3cd3841b005eb899987 \
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  --host 0.0.0.0 \
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  --port 7860 \
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  --max-num-batched-tokens 32768 \
 
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  #!/bin/sh
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+ printf "Running sail/Sailor-4B-Chat using vLLM OpenAI compatible API Server at port %s\n" "7860"
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  # Using the 1.8B version because the 4B version cannot be loaded due to memory constraints.
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  # Reducing max-num-batched-tokens to 7536 because got this error:
 
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  # INFO 11-27 15:32:10 gpu_executor.py:117] Maximum concurrency for 32768 tokens per request: 0.23x
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  # ERROR 11-27 15:32:10 engine.py:366] The model's max seq len (32768) is larger than the maximum number of tokens that can be stored in KV cache (7536). Try increasing `gpu_memory_utilization` or decreasing `max_model_len` when initializing the engine.
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  python -u /app/openai_compatible_api_server.py \
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+ --model sail/Sailor-4B-Chat \
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+ --revision 89a866a7041e6ec023dd462adeca8e28dd53c83e \
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  --host 0.0.0.0 \
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  --port 7860 \
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  --max-num-batched-tokens 32768 \