hendrik
/
matrix-pygmalion-bot
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Browse Source

add experimental and wip worker containers

master
Hendrik Langer 2 years ago
parent
48def80812
commit
32021270ba
5 changed files with 91 additions and 33 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 5
      runpod/runpod-worker-sd/README.md
  2. 68
      runpod/runpod-worker-transformers/Dockerfile
  3. 11
      runpod/runpod-worker-transformers/README.md
  4. 17
      runpod/runpod-worker-transformers/model_fetcher.py
  5. 23
      runpod/runpod-worker-transformers/runpod_infer.py

5
runpod/runpod-worker-sd/README.md
View File

@ -1,11 +1,16 @@
# NOT (YET) WORKING
uses (containers/)serverless-automatic instead
## old info serverless-ckpt-template
```
git clone https://github.com/runpod/serverless-ckpt-template.git
cd serverless-ckpt-template
docker build --build-arg MODEL_URL=https://huggingface.co/hassanblend/HassanBlend1.5.1.2 -t magn418/runpod-hassan:1.5 .
docker login
docker push magn418/runpod-hassan:1.5
```
Models:
PFG https://civitai.com/models/1227/pfg

68
runpod/runpod-worker-transformers/Dockerfile
View File

@ -1,46 +1,54 @@
ARG BASE_IMAGE=nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04
FROM ${BASE_IMAGE} as dev-base
ARG MODEL_NAME
ENV MODEL_NAME=${MODEL_NAME}
WORKDIR /src
WORKDIR /
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
ENV DEBIAN_FRONTEND noninteractive\
SHELL=/bin/bash
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN apt-get update --yes && \
# - apt-get upgrade is run to patch known vulnerabilities in apt-get packages as
# the ubuntu base image is rebuilt too seldom sometimes (less than once a month)
apt-get upgrade --yes && \
apt install --yes --no-install-recommends\
wget\
bash\
openssh-server &&\
apt install --yes --no-install-recommends \
build-essential \
ca-certificates \
git \
git-lfs \
wget \
curl \
bash \
libgl1 \
software-properties-common \
openssh-server && \
apt-get clean && rm -rf /var/lib/apt/lists/* && \
echo "en_US.UTF-8 UTF-8" > /etc/locale.gen
RUN apt-get update && apt-get install -y --no-install-recommends
RUN apt-get install software-properties-common -y
RUN add-apt-repository ppa:deadsnakes/ppa
RUN apt-get install python3.8 -y
RUN apt-get install python3-pip -y
RUN apt-get install python3.8-distutils -y
RUN apt-key del 7fa2af80 && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN add-apt-repository ppa:deadsnakes/ppa && \
apt-get install python3.10 python3.10-dev python3.10-venv python3-pip -y --no-install-recommends && \
apt-get clean && rm -rf /var/lib/apt/lists/*
RUN apt-get install python3.8-dev -y
RUN apt-get install python3.8-venv -y
RUN python3.8 -m venv /venv
ENV PATH=/venv/bin:$PATH
RUN pip install --upgrade pip && \
pip install huggingface-hub && \
pip install diffusers && \
pip install safetensors && \
pip install torch torchvision torchaudio --extra-index-url=https://download.pytorch.org/whl/cu116 && \
pip install bitsandbytes && \
pip install transformers accelerate xformers triton && \
pip install runpod
RUN python3.8 -m pip install --upgrade pip==23.0.1
RUN python3.8 -m pip install runpod==0.9.1
RUN python3.8 -m pip install torch==2.0.0
RUN python3.8 -m pip install transformers==4.27.2
RUN mkdir /workspace
WORKDIR /workspace
COPY model_fetcher.py /src/model_fetcher.py
RUN python3.8 model_fetcher.py --model_name=${MODEL_NAME}
COPY model_fetcher.py /workspace/
RUN python model_fetcher.py --model_name=${MODEL_NAME}
#RUN git lfs install && \
# git clone --depth 1 https://huggingface.co/${MODEL_NAME}
COPY runpod_infer.py /src/runpod_infer.py
COPY test_input.json /src/test_input.json
COPY runpod_infer.py /workspace/
COPY test_input.json /workspace/
CMD python3.8 -u runpod_infer.py --model_name=${MODEL_NAME}
CMD python -u runpod_infer.py --model_name=${MODEL_NAME}

11
runpod/runpod-worker-transformers/README.md
View File

@ -11,3 +11,14 @@ Select one of the following models to build:
```BASH
docker build --build-arg MODEL_NAME={model name} -t repo/image_name:tag .
```
```BASH
pip install --upgrade pip
git clone https://github.com/AlpinDale/gptq-gptj.git
cd gptq-gptj
pip install -r requirements.txt
CUDA_VISIBLE_DEVICES=0 python gptj.py PygmalionAI/pygmalion-6b c4 --wbits 4 --groupsize 128 --save pygmalion-6b-8bit-128g.pt
CUDA_VISIBLE_DEVICES=0 python gptj.py PygmalionAI/pygmalion-6b c4 --wbits 4 --groupsize 128 --save_safetensors pygmalion-6b-8bit-128g.safetensors
scp -P 22023 pygmalion-6b-8bit-128g.safetensors will@xd0.de:/home/will/
scp -P 22023 pygmalion-6b-8bit-128g.safetensors will@xd0.de:/home/will/
```

17
runpod/runpod-worker-transformers/model_fetcher.py
View File

@ -38,15 +38,30 @@ def download_model(model_name):
AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
# ------------------------------ PPO Shygmalion 6B ----------------------------- #
elif model_name == 'shygmalion-6b':
elif model_name == 'ppo-shygmalion-6b':
AutoModelForCausalLM.from_pretrained("TehVenom/PPO_Shygmalion-6b")
AutoTokenizer.from_pretrained("TehVenom/PPO_Shygmalion-6b")
# ------------------------------ Dolly Shygmalion 6B ----------------------------- #
elif model_name == 'dolly-shygmalion-6b':
AutoModelForCausalLM.from_pretrained("TehVenom/Dolly_Shygmalion-6b")
AutoTokenizer.from_pretrained("TehVenom/Dolly_Shygmalion-6b")
# ------------------------------ Erebus 13B (NSFW) ----------------------------- #
elif model_name == 'erebus-13b':
AutoModelForCausalLM.from_pretrained("KoboldAI/OPT-13B-Erebus")
AutoTokenizer.from_pretrained("KoboldAI/OPT-13B-Erebus")
# --------------------------- Alpaca 13B (Quantized) -------------------------- #
elif model_name == 'gpt4-x-alpaca-13b-native-4bit-128g':
AutoModelForCausalLM.from_pretrained("anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g")
AutoTokenizer.from_pretrained("anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g")
# --------------------------------- Alpaca 13B -------------------------------- #
elif model_name == 'gpt4-x-alpaca':
AutoModelForCausalLM.from_pretrained("chavinlo/gpt4-x-alpaca")
AutoTokenizer.from_pretrained("chavinlo/gpt4-x-alpaca")
# ---------------------------------------------------------------------------- #
# Parse Arguments #

23
runpod/runpod-worker-transformers/runpod_infer.py
View File

@ -7,7 +7,8 @@ import torch
import runpod
from runpod.serverless.utils.rp_validator import validate
from transformers import (GPTNeoForCausalLM, GPT2Tokenizer, GPTNeoXForCausalLM,
GPTNeoXTokenizerFast, GPTJForCausalLM, AutoTokenizer, AutoModelForCausalLM)
GPTNeoXTokenizerFast, GPTJForCausalLM, AutoTokenizer, AutoModelForCausalLM,
LlamaForCausalLM, LlamaTokenizer)
torch.cuda.is_available()
@ -174,16 +175,34 @@ if __name__ == "__main__":
tokenizer = AutoTokenizer.from_pretrained(
"EleutherAI/gpt-j-6B", local_files_only=True)
elif args.model_name == 'shygmalion-6b':
elif args.model_name == 'ppo-shygmalion-6b':
model = AutoModelForCausalLM.from_pretrained(
"TehVenom/PPO_Shygmalion-6b", local_files_only=True).to(device)
tokenizer = AutoTokenizer.from_pretrained(
"TehVenom/PPO_Shygmalion-6b", local_files_only=True)
elif args.model_name == 'dolly-shygmalion-6b':
model = AutoModelForCausalLM.from_pretrained(
"TehVenom/Dolly_Shygmalion-6b", local_files_only=True).to(device)
tokenizer = AutoTokenizer.from_pretrained(
"TehVenom/Dolly_Shygmalion-6b", local_files_only=True)
elif args.model_name == 'erebus-13b':
model = AutoModelForCausalLM.from_pretrained(
"KoboldAI/OPT-13B-Erebus", local_files_only=True).to(device)
tokenizer = AutoTokenizer.from_pretrained(
"KoboldAI/OPT-13B-Erebus", local_files_only=True)
elif args.model_name == 'gpt4-x-alpaca-13b-native-4bit-128g':
model = LlamaForCausalLM.from_pretrained(
"anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g", local_files_only=True).to(device)
tokenizer = LlamaTokenizer.from_pretrained(
"anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g", local_files_only=True)
elif args.model_name == 'gpt4-x-alpaca':
model = LlamaForCausalLM.from_pretrained(
"chavinlo/gpt4-x-alpaca", local_files_only=True).to(device)
tokenizer = LlamaTokenizer.from_pretrained(
"chavinlo/gpt4-x-alpaca", local_files_only=True)
runpod.serverless.start({"handler": generator})

Write Preview
Loading…
Cancel
Save