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README.md
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{}
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---
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```python
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#!/usr/bin/env python
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import torch
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---
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{}
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---
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Deployment:
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```
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build_commands: []
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external_package_dirs: []
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model_metadata: {}
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model_name: fp8-baseten/example-Meta-Llama-3-70B-InstructForSequenceClassification
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python_version: py39
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requirements: []
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resources:
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accelerator: H100:1
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cpu: "1"
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memory: 64Gi
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use_gpu: true
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secrets:
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hf_access_token: set token in baseten workspace
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system_packages: []
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trt_llm:
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build:
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base_model: encoder
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# automatically infered from config[max_position_embeddings]
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max_seq_len: 42
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# max_batch_size per dynamic batch, recommended to stay at 32
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max_batch_size: 32
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# max num tokens per dynamic batch, strongly recommended to keep this number
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max_num_tokens: 16384
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checkpoint_repository:
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source: HF
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repo: "baseten/example-Meta-Llama-3-70B-InstructForSequenceClassification"
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revision: "main" # hf revision hash
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quantization_type: fp8
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num_builder_gpus: 4
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```
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Reproduce this model:
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```python
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#!/usr/bin/env python
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import torch
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