forked from phoenix-oss/llama-stack-mirror
chore: move all Llama Stack types from llama-models to llama-stack (#1098)
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ```
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@ -14,14 +14,14 @@ from typing import Any, Dict, List, Optional
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import torch
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from fairscale.nn.model_parallel.layers import ColumnParallelLinear, RowParallelLinear
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from fairscale.nn.model_parallel.mappings import reduce_from_model_parallel_region
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from llama_models.datatypes import CheckpointQuantizationFormat
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from llama_models.llama3.api.args import ModelArgs
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from llama_models.llama3.reference_impl.model import Transformer, TransformerBlock
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from llama_models.sku_list import resolve_model
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from torch import Tensor, nn
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from torchao.quantization.GPTQ import Int8DynActInt4WeightLinear
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from llama_stack.apis.inference import QuantizationType
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from llama_stack.models.llama.datatypes import CheckpointQuantizationFormat
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from llama_stack.models.llama.sku_list import resolve_model
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from ..config import MetaReferenceQuantizedInferenceConfig
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