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30fc66923b
# What does this PR do? Adds `meta/llama-3.2-1b-instruct` to list of models that NeMo Customizer can fine-tune. This is the model our example notebooks typically use for fine-tuning. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan [Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.*] [//]: # (## Documentation) Co-authored-by: Jash Gulabrai <jgulabrai@nvidia.com>
28 lines
760 B
Python
28 lines
760 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import List
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from llama_stack.models.llama.sku_types import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import (
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ProviderModelEntry,
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build_hf_repo_model_entry,
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)
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_MODEL_ENTRIES = [
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build_hf_repo_model_entry(
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"meta/llama-3.1-8b-instruct",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta/llama-3.2-1b-instruct",
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CoreModelId.llama3_2_1b_instruct.value,
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),
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]
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def get_model_entries() -> List[ProviderModelEntry]:
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return _MODEL_ENTRIES
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