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# Docs: compound ecosystem and integrations **Problem statement:** We have a big overlap between the References/Integrations and Ecosystem/LongChain Ecosystem pages. It confuses users. It creates a situation when new integration is added only on one of these pages, which creates even more confusion. - removed References/Integrations page (but move all its information into the individual integration pages - in the next PR). - renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations. I like the Ecosystem term. It is more generic and semantically richer than the Integration term. But it mentally overloads users. The `integration` term is more concrete. UPDATE: after discussion, the Ecosystem is the term. Ecosystem/Integrations is the page (in place of Ecosystem/LongChain Ecosystem). As a result, a user gets a single place to start with the individual integration.
27 lines
1.0 KiB
Markdown
27 lines
1.0 KiB
Markdown
# 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](../modules/models/llms/integrations/llamacpp.ipynb)
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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](../modules/models/text_embedding/examples/llamacpp.ipynb)
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