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Browse filesadd model card and update to llamafile 0.8.4
- README.md +58 -3
- mxbai-embed-large-v1-f16.llamafile +2 -2
README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: llamafile
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tags:
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- mteb
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- transformers.js
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- transformers
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- llamafile
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pipeline_tag: feature-extraction
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model_creator: mixedbread-ai
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model_name: mxbai-embed-large-v1
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base_model: mixedbread-ai/mxbai-embed-large-v1
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---
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# mxbai-embed-large-v1 - llamafile
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This repository contains executable weights (which we call [llamafiles](https://github.com/Mozilla-Ocho/llamafile)) that run on Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
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- Model creator: [mixedbread-ai](https://www.mixedbread.ai/)
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- Original model: [mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1)
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- Built with [llamafile 0.8.4](https://github.com/Mozilla-Ocho/llamafile/releases/tag/0.8.4)
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## Quickstart
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Running the following on a desktop OS will launch a server on `http://localhost:8080` to which you can send HTTP requests to in order to get embeddings:
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```
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chmod +x mxbai-embed-large-v1-f16.llamafile
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./mxbai-embed-large-v1-f16.llamafile --server --nobrowser --embedding
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```
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Then, you can use your favorite HTTP client to call the server's `/embedding` endpoint:
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```
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curl \
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-X POST \
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-H "Content-Type: application/json" \
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-d '{"text": "Hello, world!"}' \
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http://localhost:8080/embedding
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```
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For further information, please see the [llamafile README](https://github.com/mozilla-ocho/llamafile/) and the [llamafile server docs](https://github.com/Mozilla-Ocho/llamafile/blob/main/llama.cpp/server/README.md).
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Having **trouble?** See the ["Gotchas" section](https://github.com/mozilla-ocho/llamafile/?tab=readme-ov-file#gotchas) of the README or contact us on [Discord](https://discord.com/channels/1089876418936180786/1182689832057716778).
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## About llamafile
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llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023.
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It uses Cosmopolitan Libc to turn LLM weights into runnable llama.cpp
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binaries that run on the stock installs of six OSes for both ARM64 and
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AMD64.
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---
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# Model Card
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See [mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1)
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mxbai-embed-large-v1-f16.llamafile
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3f4dfa4a8744e348242fad486a6c5bb2ed448914a4dbd521825a5b9faca9d12
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size 698955952
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