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@@ -1,20 +1,20 @@
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- ---
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- base_model: nekohacker591/cunnygpt-16bit-mirror
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- datasets:
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- - SchizoDev/CunnyGPT
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- library_name: transformers
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- license: llama3
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- tags:
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- - unsloth
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- - trl
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- - sft
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- - llama-cpp
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- - gguf-my-repo
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- ---
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-
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- # CAND3REL/cunnygpt-16bit-mirror-Q2_K-GGUF
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- This model was converted to GGUF format from [`nekohacker591/cunnygpt-16bit-mirror`](https://huggingface.co/nekohacker591/cunnygpt-16bit-mirror) 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/nekohacker591/cunnygpt-16bit-mirror) 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)
@@ -27,12 +27,12 @@ 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 CAND3REL/cunnygpt-16bit-mirror-Q2_K-GGUF --hf-file cunnygpt-16bit-mirror-q2_k.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 CAND3REL/cunnygpt-16bit-mirror-Q2_K-GGUF --hf-file cunnygpt-16bit-mirror-q2_k.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 3: Run inference through the main binary.
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  ```
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- ./llama-cli --hf-repo CAND3REL/cunnygpt-16bit-mirror-Q2_K-GGUF --hf-file cunnygpt-16bit-mirror-q2_k.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 CAND3REL/cunnygpt-16bit-mirror-Q2_K-GGUF --hf-file cunnygpt-16bit-mirror-q2_k.gguf -c 2048
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  ```
 
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+ ---
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+ base_model: SchizoDev/Llama3-8b-CunnyGPT-16bit
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+ datasets:
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+ - SchizoDev/CunnyGPT
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+ library_name: transformers
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+ license: llama3
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+ tags:
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+ - unsloth
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+ - trl
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+ - sft
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+ - llama-cpp
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+ - gguf-my-repo
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+ ---
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+
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+ # CAND3REL/Llama3-8b-CunnyGPT-16bit-Q2_K-GGUF
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+ This model was converted to GGUF format from [`SchizoDev/Llama3-8b-CunnyGPT-16bit`](https://huggingface.co/SchizoDev/Llama3-8b-CunnyGPT-16bit) 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/SchizoDev/Llama3-8b-CunnyGPT-16bit) 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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  ### CLI:
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  ```bash
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+ llama-cli --hf-repo CAND3REL/Llama3-8b-CunnyGPT-16bit-Q2_K-GGUF --hf-file Llama3-8b-CunnyGPT-16bit-q2_k.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 CAND3REL/Llama3-8b-CunnyGPT-16bit-Q2_K-GGUF --hf-file Llama3-8b-CunnyGPT-16bit-q2_k.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 3: Run inference through the main binary.
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  ```
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+ ./llama-cli --hf-repo CAND3REL/Llama3-8b-CunnyGPT-16bit-Q2_K-GGUF --hf-file Llama3-8b-CunnyGPT-16bit-q2_k.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 CAND3REL/Llama3-8b-CunnyGPT-16bit-Q2_K-GGUF --hf-file Llama3-8b-CunnyGPT-16bit-q2_k.gguf -c 2048
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  ```