Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF
This model was converted to GGUF format from MaziyarPanahi/calme-2.1-phi3-4b
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 Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_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 Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF --hf-file calme-2.1-phi3-4b-q8_0.gguf -c 2048
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Model tree for Nabokov/calme-2.1-phi3-4b-Q8_0-GGUF
Base model
microsoft/Phi-3-mini-4k-instruct
Finetuned
MaziyarPanahi/calme-2.1-phi3-4b
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard62.630
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard81.070
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard68.960
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard61.480
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard71.030
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard72.250
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard55.250
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard38.120
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.310
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.630