metadata

base_model: grammarly/coedit-large
datasets:
  - facebook/asset
  - wi_locness
  - GEM/wiki_auto_asset_turk
  - discofuse
  - zaemyung/IteraTeR_plus
  - jfleg
  - grammarly/coedit
language:
  - en
license: cc-by-nc-4.0
metrics:
  - sari
  - bleu
  - accuracy
tags:
  - llama-cpp
  - gguf-my-repo
widget:
  - text: >-
      Fix the grammar: When I grow up, I start to understand what he said is
      quite right.
    example_title: Fluency
  - text: >-
      Make this text coherent: Their flight is weak. They run quickly through
      the tree canopy.
    example_title: Coherence
  - text: >-
      Rewrite to make this easier to understand: A storm surge is what
      forecasters consider a hurricane's most treacherous aspect.
    example_title: Simplification
  - text: 'Paraphrase this: Do you know where I was born?'
    example_title: Paraphrase
  - text: >-
      Write this more formally: omg i love that song im listening to it right
      now
    example_title: Formalize
  - text: 'Write in a more neutral way: The authors'' exposé on nutrition studies.'
    example_title: Neutralize

nvhf/coedit-large-Q6_K-GGUF

This model was converted to GGUF format from grammarly/coedit-large using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo nvhf/coedit-large-Q6_K-GGUF --hf-file coedit-large-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo nvhf/coedit-large-Q6_K-GGUF --hf-file coedit-large-q6_k.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo nvhf/coedit-large-Q6_K-GGUF --hf-file coedit-large-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo nvhf/coedit-large-Q6_K-GGUF --hf-file coedit-large-q6_k.gguf -c 2048