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https://github.com/meta-llama/llama-stack.git
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4de45560bf
Implement remote ramalama provider using AsyncOpenAI as the client since ramalama doesn't have its own Async library. Ramalama is similar to ollama, as it is a lightweight local inference server. However, it runs by default in a containerized mode. RAMALAMA_URL is http://localhost:8080 by default Signed-off-by: Charlie Doern <cdoern@redhat.com>
103 lines
3 KiB
Python
103 lines
3 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.datatypes 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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build_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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"llama3.1:8b-instruct-fp16",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_model_entry(
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"llama3.1:8b",
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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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"llama3.1:70b-instruct-fp16",
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CoreModelId.llama3_1_70b_instruct.value,
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),
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build_model_entry(
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"llama3.1:70b",
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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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"llama3.1:405b-instruct-fp16",
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CoreModelId.llama3_1_405b_instruct.value,
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),
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build_model_entry(
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"llama3.1:405b",
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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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"llama3.2:1b-instruct-fp16",
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CoreModelId.llama3_2_1b_instruct.value,
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),
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build_model_entry(
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"llama3.2:1b",
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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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"llama3.2:3b-instruct-fp16",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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build_model_entry(
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"llama3.2:3b",
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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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"llama3.2-vision:11b-instruct-fp16",
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CoreModelId.llama3_2_11b_vision_instruct.value,
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),
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build_model_entry(
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"llama3.2-vision:latest",
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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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"llama3.2-vision:90b-instruct-fp16",
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CoreModelId.llama3_2_90b_vision_instruct.value,
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),
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build_model_entry(
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"llama3.2-vision:90b",
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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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"llama3.3:70b",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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# The Llama Guard models don't have their full fp16 versions
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# so we are going to alias their default version to the canonical SKU
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build_hf_repo_model_entry(
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"llama-guard3:8b",
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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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"llama-guard3:1b",
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CoreModelId.llama_guard_3_1b.value,
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),
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ProviderModelEntry(
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provider_model_id="all-minilm:latest",
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aliases=["all-minilm"],
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model_type=ModelType.embedding,
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metadata={
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"embedding_dimension": 384,
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"context_length": 512,
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},
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),
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ProviderModelEntry(
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provider_model_id="nomic-embed-text",
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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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]
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