GGUF
Composer
MosaicML
llm-foundry
filipealmeida commited on
Commit
3e075fe
1 Parent(s): 78a654a

Upload folder using huggingface_hub (#2)

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- Upload folder using huggingface_hub (cb4beba13bcfc3a01bf1ea812d50d064f2d4585c)

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+ mpt-7b-instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
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  # MPT-7B-Instruct
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- <span style="color:red">This is not working yet with the official version of llama.cpp</span>
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-
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  This is the GGUF version of MPT-7B-Instruct based on [jploski's fork of llama.cpp](https://github.com/jploski/llama.cpp)
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- Right now it only works with that branch, but hopefully, this will be integrated with the official [llama.cpp](https://github.com/ggerganov/llama.cpp)
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-
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- I needed this for some prototyping so I'll also maintain a fork of the python bindings while this isn't all merged in here: [llama-cpp-python-mpt](https://github.com/filipe-m-almeida/llama-cpp-python-mpt)
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-
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- -----
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  MPT-7B-Instruct is a model for short-form instruction following.
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  It is built by finetuning [MPT-7B](https://huggingface.co/mosaicml/mpt-7b) on a [dataset](https://huggingface.co/datasets/sam-mosaic/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets.
 
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  # MPT-7B-Instruct
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  This is the GGUF version of MPT-7B-Instruct based on [jploski's fork of llama.cpp](https://github.com/jploski/llama.cpp)
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+ Right now it only works with that branch, but hopefully this will be integrated with the official [llama.cpp](https://github.com/ggerganov/llama.cpp)
 
 
 
 
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  MPT-7B-Instruct is a model for short-form instruction following.
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  It is built by finetuning [MPT-7B](https://huggingface.co/mosaicml/mpt-7b) on a [dataset](https://huggingface.co/datasets/sam-mosaic/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets.
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