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CTranslate2

CTranslate2 是一个用于高效推理Transformer模型的C++和Python库。

该项目实现了一个自定义运行时,应用了许多性能优化技术,如权重量化、层融合、批次重排序等,以加速并减少Transformer模型在CPU和GPU上的内存使用。

功能和受支持模型的完整列表包含在项目的仓库中。要开始使用,请查看官方的快速入门指南

要使用,您应该安装ctranslate2 python包。

%pip install --upgrade --quiet  ctranslate2

要使用CTranslate2的Hugging Face模型,首先需要使用ct2-transformers-converter命令将其转换为CTranslate2格式。该命令接受预训练模型的名称和转换后模型目录的路径。

# conversation can take several minutes
!ct2-transformers-converter --model meta-llama/Llama-2-7b-hf --quantization bfloat16 --output_dir ./llama-2-7b-ct2 --force
Loading checkpoint shards: 100%|██████████████████| 2/2 [00:01<00:00,  1.81it/s]
from langchain_community.llms import CTranslate2

llm = CTranslate2(
# output_dir from above:
model_path="./llama-2-7b-ct2",
tokenizer_name="meta-llama/Llama-2-7b-hf",
device="cuda",
# device_index can be either single int or list or ints,
# indicating the ids of GPUs to use for inference:
device_index=[0, 1],
compute_type="bfloat16",
)
API Reference:CTranslate2

单次调用

print(
llm.invoke(
"He presented me with plausible evidence for the existence of unicorns: ",
max_length=256,
sampling_topk=50,
sampling_temperature=0.2,
repetition_penalty=2,
cache_static_prompt=False,
)
)
He presented me with plausible evidence for the existence of unicorns: 1) they are mentioned in ancient texts; and, more importantly to him (and not so much as a matter that would convince most people), he had seen one.
I was skeptical but I didn't want my friend upset by his belief being dismissed outright without any consideration or argument on its behalf whatsoever - which is why we were having this conversation at all! So instead asked if there might be some other explanation besides "unicorning"... maybe it could have been an ostrich? Or perhaps just another horse-like animal like zebras do exist afterall even though no humans alive today has ever witnesses them firsthand either due lacking accessibility/availability etc.. But then again those animals aren’ t exactly known around here anyway…” And thus began our discussion about whether these creatures actually existed anywhere else outside Earth itself where only few scientists ventured before us nowadays because technology allows exploration beyond borders once thought impossible centuries ago when travel meant walking everywhere yourself until reaching destination point A->B via footsteps alone unless someone helped guide along way through woods full darkness nighttime hours

多次调用:

print(
llm.generate(
["The list of top romantic songs:\n1.", "The list of top rap songs:\n1."],
max_length=128,
)
)
generations=[[Generation(text='The list of top romantic songs:\n1. “I Will Always Love You” by Whitney Houston\n2. “Can’t Help Falling in Love” by Elvis Presley\n3. “Unchained Melody” by The Righteous Brothers\n4. “I Will Always Love You” by Dolly Parton\n5. “I Will Always Love You” by Whitney Houston\n6. “I Will Always Love You” by Dolly Parton\n7. “I Will Always Love You” by The Beatles\n8. “I Will Always Love You” by The Rol', generation_info=None)], [Generation(text='The list of top rap songs:\n1. “God’s Plan” by Drake\n2. “Rockstar” by Post Malone\n3. “Bad and Boujee” by Migos\n4. “Humble” by Kendrick Lamar\n5. “Bodak Yellow” by Cardi B\n6. “I’m the One” by DJ Khaled\n7. “Motorsport” by Migos\n8. “No Limit” by G-Eazy\n9. “Bounce Back” by Big Sean\n10. “', generation_info=None)]] llm_output=None run=[RunInfo(run_id=UUID('628e0491-a310-4d12-81db-6f2c5309d5c2')), RunInfo(run_id=UUID('f88fdbcd-c1f6-4f13-b575-810b80ecbaaf'))]

将模型集成到LLMChain中

from langchain.chains import LLMChain
from langchain_core.prompts import PromptTemplate

template = """{question}

Let's think step by step. """
prompt = PromptTemplate.from_template(template)

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "Who was the US president in the year the first Pokemon game was released?"

print(llm_chain.run(question))
API Reference:LLMChain | PromptTemplate
Who was the US president in the year the first Pokemon game was released?

Let's think step by step. 1996 was the year the first Pokemon game was released.

\begin{blockquote}

\begin{itemize}
\item 1996 was the year Bill Clinton was president.
\item 1996 was the year the first Pokemon game was released.
\item 1996 was the year the first Pokemon game was released.

\end{itemize}
\end{blockquote}

I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

Comment: @JoeZ. I'm not sure if this is a valid question, but I'm sure it's a fun one.

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