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--- |
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license: gemma |
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language: |
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- en |
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base_model: SicariusSicariiStuff/2B-ad |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/2B-ad-Q8_0-GGUF |
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This model was converted to GGUF format from [`SicariusSicariiStuff/2B-ad`](https://huggingface.co./SicariusSicariiStuff/2B-ad) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co./SicariusSicariiStuff/2B-ad) for more details on the model. |
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--- |
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Model details: |
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- |
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This is a Gemma-2 2B Finetune with surprisingly good Role-Play capabilities for its small 2B size. |
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Update: |
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The size is not exactly 2B, more like 3B, it's a model I did some |
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merges on a long time ago and forgot about it, then finetuned on top of |
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it. |
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Also, due to an old mergekit Gemma-2 quirk, it seems that the |
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increased size is due to the way the previous version of mergekit |
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handles lmhead. Anyway, it turned out pretty awesome, even for a 3B |
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size. The base is presented in FP32. |
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Details |
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Censorship level: Low |
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7.3 / 10 (10 completely uncensored) |
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Intended use: Creative Writing, Role-Play, General tasks. |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/2B-ad-Q8_0-GGUF --hf-file 2b-ad-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/2B-ad-Q8_0-GGUF --hf-file 2b-ad-q8_0.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/2B-ad-Q8_0-GGUF --hf-file 2b-ad-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/2B-ad-Q8_0-GGUF --hf-file 2b-ad-q8_0.gguf -c 2048 |
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``` |
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