mirror of
https://github.com/meta-llama/llama-stack.git
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3e02dc5c2f
- updated to use OpenAIMixin - workarounds for Together api quirks - recordings for together suite when subdirs=inference,pattern=openai test with: `TOGETHER_API_KEY=_NONE_ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup together --subdirs inference --pattern openai`
103 lines
3.4 KiB
Python
103 lines
3.4 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 (
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ProviderModelEntry,
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build_hf_repo_model_entry,
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)
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SAFETY_MODELS_ENTRIES = [
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build_hf_repo_model_entry(
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"meta-llama/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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]
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# source: https://docs.together.ai/docs/serverless-models#embedding-models
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EMBEDDING_MODEL_ENTRIES = {
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"togethercomputer/m2-bert-80M-32k-retrieval": ProviderModelEntry(
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provider_model_id="togethercomputer/m2-bert-80M-32k-retrieval",
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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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"BAAI/bge-large-en-v1.5": ProviderModelEntry(
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provider_model_id="BAAI/bge-large-en-v1.5",
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metadata={
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"embedding_dimension": 1024,
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"context_length": 512,
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},
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),
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"BAAI/bge-base-en-v1.5": ProviderModelEntry(
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provider_model_id="BAAI/bge-base-en-v1.5",
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metadata={
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"embedding_dimension": 768,
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"context_length": 512,
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},
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),
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"Alibaba-NLP/gte-modernbert-base": ProviderModelEntry(
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provider_model_id="Alibaba-NLP/gte-modernbert-base",
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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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"intfloat/multilingual-e5-large-instruct": ProviderModelEntry(
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provider_model_id="intfloat/multilingual-e5-large-instruct",
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metadata={
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"embedding_dimension": 1024,
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"context_length": 512,
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},
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),
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}
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MODEL_ENTRIES = (
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[
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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/Llama-4-Scout-17B-16E-Instruct",
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CoreModelId.llama4_scout_17b_16e_instruct.value,
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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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),
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]
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+ SAFETY_MODELS_ENTRIES
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+ list(EMBEDDING_MODEL_ENTRIES.values())
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)
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