Triangle104/2B-ad-Q4_K_S-GGUF

This model was converted to GGUF format from SicariusSicariiStuff/2B-ad 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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Model details:

This is a Gemma-2 2B Finetune with surprisingly good Role-Play capabilities for its small 2B size.

Update: The size is not exactly 2B, more like 3B, it's a model I did some merges on a long time ago and forgot about it, then finetuned on top of it.

Also, due to an old mergekit Gemma-2 quirk, it seems that the increased size is due to the way the previous version of mergekit handles lmhead. Anyway, it turned out pretty awesome, even for a 3B size. The base is presented in FP32.

Censorship level: Low

7.3 / 10 (10 completely uncensored)

Intended use: Creative Writing, Role-Play, General tasks.

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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 Triangle104/2B-ad-Q4_K_S-GGUF --hf-file 2b-ad-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/2B-ad-Q4_K_S-GGUF --hf-file 2b-ad-q4_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 Triangle104/2B-ad-Q4_K_S-GGUF --hf-file 2b-ad-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/2B-ad-Q4_K_S-GGUF --hf-file 2b-ad-q4_k_s.gguf -c 2048