Add support for text-generation-server, gradio inference server, OpenAI inference server. #295
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Falcon 40B |
8-bit h2oGPT 12B on 2xA6000Ada 48GBThis works:
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8xA100 80GB Falcon 40B |
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To avoid redownload of weights, just do something like: i.e. correct This finally worked, but so slow, and unsure why no sharding fails: |
SERVER on 192.168.1.46: CUDA_VISIBLE_DEVICES=0,1,2,3 docker run --gpus all --shm-size 2g -e NCCL_SHM_DISABLE=1 -e TRANSFORMERS_CACHE="/.cache/" -p 6112:80 -v $HOME/.cache:/.cache/ -v $HOME/.cache/huggingface/hub/:/data ghcr.io/huggingface/text-generation-inference:0.8.2 --model-id h2oai/h2ogpt-oasst1-512-12b --max-input-length 2048 --max-total-tokens 3072 --sharded=true --num-shard=4 --disable-custom-kernels CLIENT: python generate.py --base_model="http://192.168.1.46:6112"
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gradio part working for post-CLI-time setting of model/lora/server:
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langchain with inference server working, but no UI streaming yet:
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OpenAI tests pass except embedding one: https://community.openai.com/t/getting-embeddings-of-length-1/263285/4?u=pseudotensor |
… messes up pycharm
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Added OpenAI:
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pseudotensor
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This reverts commit 0d164ff.
Traceback (most recent call last):
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/routes.py", line 437, in run_predict
output = await app.get_blocks().process_api(
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/blocks.py", line 1346, in process_api
result = await self.call_function(
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/blocks.py", line 1090, in call_function
prediction = await utils.async_iteration(iterator)
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/utils.py", line 341, in async_iteration
return await iterator.__anext__()
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/utils.py", line 334, in __anext__
return await anyio.to_thread.run_sync(
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/home/jon/miniconda3/envs/h2ollm/lib/python3.10/site-packages/gradio/utils.py", line 317, in run_sync_iterator_async
return next(iterator)
File "/home/jon/h2ogpt/gradio_runner.py", line 1109, in bot
for output_fun in fun1(*tuple(args_list)):
File "/home/jon/h2ogpt/generate.py", line 1263, in evaluate
from gpt_langchain import run_qa_db
File "/home/jon/h2ogpt/gpt_langchain.py", line 286, in <module>
class GradioInference(LLM):
File "/home/jon/h2ogpt/gpt_langchain.py", line 315, in GradioInference
def validate_environment(cls, values: Dict) -> Dict:
File "pydantic/class_validators.py", line 134, in pydantic.class_validators.root_validator.dec
File "pydantic/class_validators.py", line 156, in pydantic.class_validators._prepare_validator
pydantic.errors.ConfigError: duplicate validator function "gpt_langchain.GradioInference.validate_environment"; if this is intended, set `allow_reuse=True`
streamlit/streamlit@2682614
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arnocandel
approved these changes
Jun 20, 2023
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Separate PR
Also see:
GPTQ: huggingface/text-generation-inference#438
3x faster llama: https://github.com/turboderp/exllama
docker with mounted .cache
Compiled locally but doesn't start properly: