How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf redromnon/LFM2-700M-grammar-correction:# Run inference directly in the terminal:
llama-cli -hf redromnon/LFM2-700M-grammar-correction:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf redromnon/LFM2-700M-grammar-correction:# Run inference directly in the terminal:
./llama-cli -hf redromnon/LFM2-700M-grammar-correction:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf redromnon/LFM2-700M-grammar-correction:# Run inference directly in the terminal:
./build/bin/llama-cli -hf redromnon/LFM2-700M-grammar-correction:Use Docker
docker model run hf.co/redromnon/LFM2-700M-grammar-correction:Quick Links
LFM2-700M-grammar-correction : GGUF
How to use:
This model is fine-tuned on a grammar-correction dataset. Use the following prefix before the text you would like to correct as the user query:
Fix grammar only. Return the corrected sentence only: {text}
Also adjust the following parameters:
temperature = 0.3
min_p = 0.15
repetition_penalty = 1.05
This model was finetuned and converted to GGUF format using Unsloth.
Example usage with llama.cpp:
- For text only LLMs:
./llama.cpp/llama-cli -hf redromnon/LFM2-700M-grammar-correction --jinja - For multimodal models:
./llama.cpp/llama-mtmd-cli -hf redromnon/LFM2-700M-grammar-correction --jinja
Available Model files:
LFM2-700M.Q5_K_M.ggufLFM2-700M.Q8_0.ggufLFM2-700M.Q4_K_M.gguf
Note
The model's BOS token behavior was adjusted for GGUF compatibility.
This was trained 2x faster with Unsloth
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Model tree for redromnon/LFM2-700M-grammar-correction
Base model
LiquidAI/LFM2-700M
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf redromnon/LFM2-700M-grammar-correction:# Run inference directly in the terminal: llama-cli -hf redromnon/LFM2-700M-grammar-correction: