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# What does this PR do? IBM watsonx ai added as the inference [#1741 ](https://github.com/meta-llama/llama-stack/issues/1741) [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) --------- Co-authored-by: Sajikumar JS <sajikumar.js@ibm.com>
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
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 llama_stack.models.llama.sku_types import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import build_hf_repo_model_entry
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MODEL_ENTRIES = [
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build_hf_repo_model_entry(
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"meta-llama/llama-3-3-70b-instruct",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-2-13b-chat",
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CoreModelId.llama2_13b.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-3-1-70b-instruct",
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CoreModelId.llama3_1_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/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/llama-3-2-11b-vision-instruct",
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CoreModelId.llama3_2_11b_vision_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-3-2-1b-instruct",
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CoreModelId.llama3_2_1b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-3-2-3b-instruct",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-3-2-90b-vision-instruct",
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CoreModelId.llama3_2_90b_vision_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-guard-3-11b-vision",
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CoreModelId.llama_guard_3_11b_vision.value,
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),
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]
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