prepare_llm_models.sh

#!/bin/bash
#
# Copyright 2024 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
set -e
if [ -z "$1" ]; then
  echo "Error: No directory specified."
  exit 1
fi

TEXT_GENERATION_MODEL="HuggingFaceTB/SmolLM2-360M-Instruct"
FACEBOOK_MODEL="facebook/opt-125m"
TOKENIZER_FILE="openvino_tokenizer.bin"
LEGACY_MODEL_FILE="1/model.bin"
EMBEDDING_MODEL="thenlper/gte-small"
RERANK_MODEL="BAAI/bge-reranker-base"
VLM_MODEL="OpenVINO/InternVL2-1B-int4-ov"
TTS_MODEL="hexgrad/Kokoro-82M"
STT_MODEL="openai/whisper-tiny"

# Models for tools testing. Only tokenizers are downloaded.
QWEN3_MODEL="Qwen/Qwen3-8B"
LLAMA3_MODEL="unsloth/Llama-3.1-8B-Instruct"
HERMES3_MODEL="NousResearch/Hermes-3-Llama-3.1-8B"
PHI4_MODEL="microsoft/Phi-4-mini-instruct"
MISTRAL_MODEL="mistralai/Mistral-7B-Instruct-v0.3"
GPT_OSS_MODEL="openai/gpt-oss-20b"
DEVSTRAL_MODEL="unsloth/Devstral-Small-2507"
LFM2_MODEL="LiquidAI/LFM2-2.6B"
LFM25_MODEL="LiquidAI/LFM2.5-8B-A1B"
GEMMA4_MODEL="OpenVINO/gemma-4-E4B-it-int4-ov"
MINICPM5_MODEL="openbmb/MiniCPM5-1B"

if [ "$(python3 -c 'import sys; print(sys.version_info[1])')" -le "8" ]; then echo "Prepare models with python > 3.8."; exit 1 ; fi

echo "Downloading LLM testing models to directory $1"
export PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://storage.openvinotoolkit.org/simple/wheels/nightly"
if [ "$2" = "docker" ]; then
    export PATH=$PATH:/opt/intel/openvino/python/bin
    python3 -m pip install "optimum-intel"@git+https://github.com/huggingface/optimum-intel.git nncf sentence_transformers==5.3.0 sentencepiece requests protobuf==7.35.0 kokoro
else
    python3 -m venv .venv
    . .venv/bin/activate
    pip3 install -U pip
    pip3 install -U -r demos/common/export_models/requirements.txt
fi
mkdir -p $1

if [ -f "$1/$TEXT_GENERATION_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$TEXT_GENERATION_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py text_generation --source_model "$TEXT_GENERATION_MODEL" --weight-format int8 --model_repository_path $1
fi

if [ ! -f "$1/$TEXT_GENERATION_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$TEXT_GENERATION_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$FACEBOOK_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$FACEBOOK_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py text_generation --source_model "$FACEBOOK_MODEL" --weight-format int8 --model_repository_path $1
fi
if [ ! -f "$1/$FACEBOOK_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$FACEBOOK_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ ! -f "$1/$FACEBOOK_MODEL/chat_template.jinja" ]; then
    echo "Copying dummy chat template to $FACEBOOK_MODEL model directory."
    cp src/test/llm/dummy_facebook_template.jinja "$1/$FACEBOOK_MODEL/chat_template.jinja"
fi

if [ -f "$1/$TTS_MODEL/openvino_model.xml" ]; then
  echo "Model file $1/$TTS_MODEL/openvino_model.xml exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py text2speech --source_model "$TTS_MODEL" --model_type kokoro --weight-format int8 --model_repository_path $1
fi
if [ ! -f "$1/$TTS_MODEL/openvino_model.xml" ]; then
  echo "[ERROR] Model file $1/$TTS_MODEL/openvino_model.xml does not exist."
  exit 1
fi

if [ -f "$1/$STT_MODEL/$TOKENIZER_FILE" ]; then
  echo "Model file $1/$STT_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py speech2text --source_model "$STT_MODEL" --weight-format int4 --model_repository_path $1
fi
if [ ! -f "$1/$STT_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Model file $1/$STT_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi
if [ -f "$1/$EMBEDDING_MODEL/ov/$TOKENIZER_FILE" ]; then
  echo "Model file $1/$EMBEDDING_MODEL/ov/$TOKENIZER_FILE exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py embeddings_ov --source_model "$EMBEDDING_MODEL" --weight-format int8 --model_repository_path $1 --model_name $EMBEDDING_MODEL/ov
fi
if [ ! -f "$1/$EMBEDDING_MODEL/ov/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Model file $1/$EMBEDDING_MODEL/ov/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$RERANK_MODEL/ov/$TOKENIZER_FILE" ]; then
  echo "Model file $1/$RERANK_MODEL/ov/$TOKENIZER_FILE exists. Skipping downloading models."
else
  python3 demos/common/export_models/export_model.py rerank_ov --source_model "$RERANK_MODEL" --weight-format int8 --model_repository_path $1 --model_name $RERANK_MODEL/ov
fi
if [ ! -f "$1/$RERANK_MODEL/ov/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Model file $1/$RERANK_MODEL/ov/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$QWEN3_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$QWEN3_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$QWEN3_MODEL
  convert_tokenizer $QWEN3_MODEL --with_detokenizer -o $1/$QWEN3_MODEL
fi
if [ ! -f "$1/$QWEN3_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$QWEN3_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$LLAMA3_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$LLAMA3_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$LLAMA3_MODEL
  convert_tokenizer $LLAMA3_MODEL --with_detokenizer -o $1/$LLAMA3_MODEL
fi
if [ ! -f "$1/$LLAMA3_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$LLAMA3_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$HERMES3_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$HERMES3_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$HERMES3_MODEL
  convert_tokenizer $HERMES3_MODEL --with_detokenizer -o $1/$HERMES3_MODEL
fi
if [ ! -f "$1/$HERMES3_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$HERMES3_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$PHI4_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$PHI4_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$PHI4_MODEL
  convert_tokenizer $PHI4_MODEL --with_detokenizer -o $1/$PHI4_MODEL
fi
if [ ! -f "$1/$PHI4_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$PHI4_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$MISTRAL_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$MISTRAL_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$MISTRAL_MODEL
  convert_tokenizer $MISTRAL_MODEL --with_detokenizer -o $1/$MISTRAL_MODEL
fi
if [ ! -f "$1/$MISTRAL_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$MISTRAL_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$GPT_OSS_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$GPT_OSS_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$GPT_OSS_MODEL
  convert_tokenizer $GPT_OSS_MODEL --with_detokenizer -o $1/$GPT_OSS_MODEL
fi
if [ ! -f "$1/$GPT_OSS_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$GPT_OSS_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$DEVSTRAL_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$DEVSTRAL_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$DEVSTRAL_MODEL
  convert_tokenizer $DEVSTRAL_MODEL --with_detokenizer -o $1/$DEVSTRAL_MODEL
fi
if [ ! -f "$1/$DEVSTRAL_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$DEVSTRAL_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$LFM2_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$LFM2_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$LFM2_MODEL
  convert_tokenizer $LFM2_MODEL --with_detokenizer -o $1/$LFM2_MODEL
fi
if [ ! -f "$1/$LFM2_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$LFM2_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi
if [ -f "$1/$LFM25_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$LFM25_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$LFM25_MODEL
  convert_tokenizer $LFM25_MODEL --with_detokenizer -o $1/$LFM25_MODEL
fi
if [ ! -f "$1/$LFM25_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$LFM25_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi
if [ -f "$1/$GEMMA4_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$GEMMA4_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$GEMMA4_MODEL
  convert_tokenizer $GEMMA4_MODEL --with_detokenizer -o $1/$GEMMA4_MODEL
fi
if [ ! -f "$1/$GEMMA4_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$GEMMA4_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$MINICPM5_MODEL/$TOKENIZER_FILE" ]; then
  echo "Models file $1/$MINICPM5_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  mkdir -p $1/$MINICPM5_MODEL
  convert_tokenizer $MINICPM5_MODEL --with_detokenizer -o $1/$MINICPM5_MODEL
fi
if [ ! -f "$1/$MINICPM5_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Models file $1/$MINICPM5_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi

if [ -f "$1/$VLM_MODEL/$TOKENIZER_FILE" ]; then
  echo "Model file $1/$VLM_MODEL/$TOKENIZER_FILE exists. Skipping downloading models."
else
  pip3 install --upgrade typer==0.25.1
  hf download "$VLM_MODEL" --local-dir $1/$VLM_MODEL
  convert_tokenizer OpenGVLab/InternVL2-1B --with_detokenizer -o $1/$VLM_MODEL  # WA to use newer tokenizer model format which supports padding.
fi
if [ ! -f "$1/$VLM_MODEL/$TOKENIZER_FILE" ]; then
  echo "[ERROR] Model file $1/$VLM_MODEL/$TOKENIZER_FILE does not exist."
  exit 1
fi