PJRM/L-MChat-Small-Q4_0-GGUF
This model was converted to GGUF format from Artples/L-MChat-Small 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 PJRM/L-MChat-Small-Q4_0-GGUF --hf-file l-mchat-small-q4_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo PJRM/L-MChat-Small-Q4_0-GGUF --hf-file l-mchat-small-q4_0.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 PJRM/L-MChat-Small-Q4_0-GGUF --hf-file l-mchat-small-q4_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo PJRM/L-MChat-Small-Q4_0-GGUF --hf-file l-mchat-small-q4_0.gguf -c 2048
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Base model
Artples/L-MChat-SmallEvaluation results
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- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard75.900
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- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard49.940
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- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard58.980