hus960/Einstein-v6-7B-Q4_K_M-GGUF
This model was converted to GGUF format from Weyaxi/Einstein-v6-7B
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.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo hus960/Einstein-v6-7B-Q4_K_M-GGUF --model einstein-v6-7b.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo hus960/Einstein-v6-7B-Q4_K_M-GGUF --model einstein-v6-7b.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m einstein-v6-7b.Q4_K_M.gguf -n 128
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Model tree for hus960/Einstein-v6-7B-Q4_K_M-GGUF
Base model
mistral-community/Mistral-7B-v0.2
Quantized
this model
Datasets used to train hus960/Einstein-v6-7B-Q4_K_M-GGUF
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.570
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard82.760
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.230
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard52.020
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.610
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard63.530