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Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
27 lines
1.0 KiB
Plaintext
27 lines
1.0 KiB
Plaintext
# Llama.cpp
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This page covers how to use [llama.cpp](https://github.com/ggerganov/llama.cpp) within LangChain.
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It is broken into two parts: installation and setup, and then references to specific Llama-cpp wrappers.
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## Installation and Setup
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- Install the Python package with `pip install llama-cpp-python`
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- Download one of the [supported models](https://github.com/ggerganov/llama.cpp#description) and convert them to the llama.cpp format per the [instructions](https://github.com/ggerganov/llama.cpp)
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## Wrappers
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### LLM
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There exists a LlamaCpp LLM wrapper, which you can access with
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```python
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from langchain.llms import LlamaCpp
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```
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For a more detailed walkthrough of this, see [this notebook](/docs/modules/model_io/models/llms/integrations/llamacpp.html)
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### Embeddings
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There exists a LlamaCpp Embeddings wrapper, which you can access with
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```python
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from langchain.embeddings import LlamaCppEmbeddings
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```
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For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/llamacpp.html)
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