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7b4eb0967e
# What does this PR do? ## Test Plan export MODEL=accounts/fireworks/models/llama4-scout-instruct-basic; LLAMA_STACK_CONFIG=verification pytest -s -v tests/integration/inference --vision-model $MODEL --text-model $MODEL
81 lines
2.7 KiB
Python
81 lines
2.7 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.apis.models.models import ModelType
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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/Meta-Llama-3.1-8B-Instruct-Turbo",
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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/Meta-Llama-3.1-70B-Instruct-Turbo",
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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/Meta-Llama-3.1-405B-Instruct-Turbo",
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CoreModelId.llama3_1_405b_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-Turbo",
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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-3.2-11B-Vision-Instruct-Turbo",
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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-3.2-90B-Vision-Instruct-Turbo",
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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-3.3-70B-Instruct-Turbo",
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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/Meta-Llama-Guard-3-8B",
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CoreModelId.llama_guard_3_8b.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-Turbo",
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CoreModelId.llama_guard_3_11b_vision.value,
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),
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ProviderModelEntry(
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provider_model_id="togethercomputer/m2-bert-80M-8k-retrieval",
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model_type=ModelType.embedding,
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metadata={
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"embedding_dimension": 768,
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"context_length": 8192,
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},
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),
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ProviderModelEntry(
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provider_model_id="togethercomputer/m2-bert-80M-32k-retrieval",
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model_type=ModelType.embedding,
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metadata={
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"embedding_dimension": 768,
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"context_length": 32768,
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},
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),
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build_hf_repo_model_entry(
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"meta-llama/Llama-4-Scout-17B-16E-Instruct",
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CoreModelId.llama4_scout_17b_16e_instruct.value,
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additional_aliases=[
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"together/meta-llama/Llama-4-Scout-17B-16E-Instruct",
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],
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),
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build_hf_repo_model_entry(
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"meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
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CoreModelId.llama4_maverick_17b_128e_instruct.value,
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additional_aliases=[
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"together/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
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],
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),
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]
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