Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF
This model was converted to GGUF format from flammenai/Mahou-1.5-mistral-nemo-12B
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Model details:
Mahou-1.5-mistral-nemo-12B
Mahou is designed to provide short messages in a conversational context. It is capable of casual conversation and character roleplay. Chat Format
This model has been trained to use ChatML format.
<|im_start|>system {{system}}<|im_end|> <|im_start|>{{char}} {{message}}<|im_end|> <|im_start|>{{user}} {{message}}<|im_end|>
Roleplay Format
Speech without quotes.
Actions in *asterisks*
leans against wall cooly so like, i just casted a super strong spell at magician academy today, not gonna lie, felt badass.
SillyTavern Settings
Use ChatML for the Context Template.
Enable Instruct Mode.
Use the Mahou ChatML Instruct preset.
Use the Mahou Sampler preset.
Method
ORPO finetuned with 4x H100 for 3 epochs. Open LLM Leaderboard Evaluation Results
Detailed results can be found here Metric Value Avg. 26.28 IFEval (0-Shot) 67.51 BBH (3-Shot) 36.26 MATH Lvl 5 (4-Shot) 5.06 GPQA (0-shot) 3.47 MuSR (0-shot) 16.47 MMLU-PRO (5-shot) 28.91
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 Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF --hf-file mahou-1.5-mistral-nemo-12b-q5_k_s.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF --hf-file mahou-1.5-mistral-nemo-12b-q5_k_s.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 Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF --hf-file mahou-1.5-mistral-nemo-12b-q5_k_s.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF --hf-file mahou-1.5-mistral-nemo-12b-q5_k_s.gguf -c 2048
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Base model
winglian/m12b-20240721-test010Dataset used to train Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF
Collections including Triangle104/Mahou-1.5-mistral-nemo-12B-Q5_K_S-GGUF
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard67.510
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.260
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.060
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.470
- acc_norm on MuSR (0-shot)Open LLM Leaderboard16.470
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.910