Triangle104/Mistral-Small-Drummer-22B-Q6_K-GGUF
This model was converted to GGUF format from nbeerbower/Mistral-Small-Drummer-22B
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:
mistralai/Mistral-Small-Instruct-2409 finetuned on jondurbin/gutenberg-dpo-v0.1 and nbeerbower/gutenberg2-dpo. Method
ORPO tuned with 2xA40 on RunPod for 1 epoch.
learning_rate=4e-6, lr_scheduler_type="linear", beta=0.1, per_device_train_batch_size=4, per_device_eval_batch_size=4, gradient_accumulation_steps=8, optim="paged_adamw_8bit", num_train_epochs=1,
Dataset was prepared using Mistral-Small Instruct format.
Fine-tune Llama 3 with ORPO Open LLM Leaderboard Evaluation Results
Detailed results can be found here Metric Value Avg. 29.45 IFEval (0-Shot) 63.31 BBH (3-Shot) 40.12 MATH Lvl 5 (4-Shot) 16.69 GPQA (0-shot) 12.42 MuSR (0-shot) 9.80 MMLU-PRO (5-shot) 34.39
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/Mistral-Small-Drummer-22B-Q6_K-GGUF --hf-file mistral-small-drummer-22b-q6_k.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/Mistral-Small-Drummer-22B-Q6_K-GGUF --hf-file mistral-small-drummer-22b-q6_k.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/Mistral-Small-Drummer-22B-Q6_K-GGUF --hf-file mistral-small-drummer-22b-q6_k.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/Mistral-Small-Drummer-22B-Q6_K-GGUF --hf-file mistral-small-drummer-22b-q6_k.gguf -c 2048
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mistralai/Mistral-Small-Instruct-2409Datasets used to train Triangle104/Mistral-Small-Drummer-22B-Q6_K-GGUF
Collections including Triangle104/Mistral-Small-Drummer-22B-Q6_K-GGUF
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard63.310
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard40.120
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.690
- acc_norm on GPQA (0-shot)Open LLM Leaderboard12.420
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.800
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard34.390