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  ---
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- base_model: netcat420/MFANNv0.22
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  library_name: transformers
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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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- # netcat420/MFANNv0.22-Q4_K_S-GGUF
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- This model was converted to GGUF format from [`netcat420/MFANNv0.22`](https://huggingface.co/netcat420/MFANNv0.22) 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/netcat420/MFANNv0.22) for more details on the model.
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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 netcat420/MFANNv0.22-Q4_K_S-GGUF --hf-file mfannv0.22-q4_k_s.gguf -p "The meaning to life and the universe is"
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- ```
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-
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- ### Server:
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- ```bash
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- llama-server --hf-repo netcat420/MFANNv0.22-Q4_K_S-GGUF --hf-file mfannv0.22-q4_k_s.gguf -c 2048
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- ```
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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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-
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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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-
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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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-
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- Step 3: Run inference through the main binary.
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- ```
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- ./llama-cli --hf-repo netcat420/MFANNv0.22-Q4_K_S-GGUF --hf-file mfannv0.22-q4_k_s.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 netcat420/MFANNv0.22-Q4_K_S-GGUF --hf-file mfannv0.22-q4_k_s.gguf -c 2048
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- ```
 
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  library_name: transformers
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+ license: llama3.1
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+ datasets:
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+ - netcat420/MFANN
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+ language:
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+ - en
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+ base_model:
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+ - netcat420/MFANN-llama3.1-Abliterated-SLERP
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+ pipeline_tag: text-generation
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  ---
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+ netcat420/MFANN-llama3.1-Abliterated-SLERP finetuned on netcat420/MFANN
 
 
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+ designed to be a generally intelligent chain of thought reasoner model. this model is currently still in pre release v0.x beta, and may produce responses not suitable for all audiences due to its uncensored nature.
 
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+ System prompt:
 
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+ <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <|eot_id|>