Files
Trading_Studio/.env.example
T
dekun 0cce6cda7c Fix CUDA OOM by mutually unloading Whisper and ChatTTS on 8GB GPU.
Release GPU memory before TTS/ASR switches, lower TTS token limits, and set PYTORCH_CUDA_ALLOC_CONF in PM2.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-12 17:03:37 +08:00

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# Trading Studio 服务器本地配置(复制为 .env 后修改,不会被 git 跟踪)
# cp .env.example .env
# Ollama 局域网地址(按实际环境修改)
OLLAMA_HOST=192.168.8.64
OLLAMA_PORT=11434
# 可选:覆盖默认模型名
# MODEL_NAME=huihui_ai/gemma-4-abliterated:e4b
# ChatTTS 模型目录(预下载脚本写入)
# CHATTTS_MODEL_DIR=/opt/Trading_Studio/models/ChatTTS
# WHISPER_MODEL_DIR=/opt/Trading_Studio/models/whisper
# WHISPER_MODEL_SIZE=small
# HF_ENDPOINT=https://hf-mirror.com
# 8GB 显存 OOM 时可调低(合成按段切分)
# TTS_MAX_CHARS_PER_CHUNK=150
# TTS_MAX_NEW_TOKEN=768