Triangle104/Impish_Magic_24B-Q5_K_M-GGUF

This model was converted to GGUF format from SicariusSicariiStuff/Impish_Magic_24B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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This model is based on mistralai/Magistral-Small-2506 so naturally it's named Impish_Magic. Truly excellent size, it's been tested on a laptop with 16GB gpu and it works quite fast (4090m).

This model went "full" fine-tune over 100m unique tokens. Why "full"?

Specific areas in the model have been tuned to attempt to change the vocabulary usage, while keeping as much intelligence as possible. So this is definitely not a LoRA, but also not exactly a proper full finetune, but rather something in-between.

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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/Impish_Magic_24B-Q5_K_M-GGUF --hf-file impish_magic_24b-q5_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Impish_Magic_24B-Q5_K_M-GGUF --hf-file impish_magic_24b-q5_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.

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/Impish_Magic_24B-Q5_K_M-GGUF --hf-file impish_magic_24b-q5_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Impish_Magic_24B-Q5_K_M-GGUF --hf-file impish_magic_24b-q5_k_m.gguf -c 2048