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Update llms.rst #780

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9 changes: 4 additions & 5 deletions triton/apps/llms.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ In the following sbatch script, we request computational resources, load the nec
#SBATCH --cpus-per-task=4
#SBATCH --mem=80GB #This is system memory, not GPU memory.
#SBATCH --gpus=1
#SBATCH --partition=gpu-v100-32GB # modify according to your needs
#SBATCH --partition=gpu-v100-32g # modify according to your needs
#SBATCH --output huggingface.%J.out
#SBATCH --error huggingface.%J.err

Expand All @@ -55,7 +55,7 @@ In the following sbatch script, we request computational resources, load the nec
module load model-huggingface

# Load a ready to use conda environment to use HuggingFace Transformers
module load scicomp-llm-env
module load scicomp-llm-env/2025.2

# Force transformer to load model(s) from local hub instead of download and load model(s) from remote hub.
export TRANSFORMERS_OFFLINE=1
Expand All @@ -74,14 +74,13 @@ The ``your_script.py`` Python script uses a HuggingFace model ``mistralai/Mistra
pipe = pipeline(
"text-generation", # Task type
model="mistralai/Mistral-7B-Instruct-v0.1", # Model name
device="auto", # Let the pipeline automatically select best available device
device="cuda", # Specify to use CUDA as device
max_new_tokens=1000
)

# Prepare prompts
messages = [
{"role": "user", "content": "Continue the following sequence: 1, 2, 3, 5, 8"},
{"role": "user", "content": "What is the meaning of life?"}
{"role": "user", "content": "Continue the following sequence: 1, 2, 3, 5, 8"}
]

# Generate and print responses
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