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+ ---
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+ inference: false
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+ library_name: transformers
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+ language:
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+ - en
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+ - fr
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+ - de
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+ - es
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+ - it
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+ - pt
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+ - ja
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+ - ko
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+ - zh
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+ - ar
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+ - el
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+ - fa
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+ - pl
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+ - id
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+ - cs
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+ - he
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+ - hi
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+ - nl
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+ - ro
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+ - ru
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+ - tr
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+ - uk
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+ - vi
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+ license: cc-by-nc-4.0
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+ extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and
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+ acknowledge that the information you provide will be collected, used, and shared
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+ in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
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+ receive email updates about C4AI and Cohere research, events, products and services.
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+ You can unsubscribe at any time.
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+ extra_gated_fields:
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+ Name: text
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+ Affiliation: text
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+ Country: country
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+ I agree to use this model for non-commercial use ONLY: checkbox
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+ tags:
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+ - abliterated
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+ - uncensored
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+ - llama-cpp
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+ - gguf-my-repo
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+ base_model: huihui-ai/aya-expanse-8b-abliterated
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+ ---
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+
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+ # AIronMind/aya-expanse-8b-abliterated-Q4_K_M-GGUF
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+ This model was converted to GGUF format from [`huihui-ai/aya-expanse-8b-abliterated`](https://huggingface.co/huihui-ai/aya-expanse-8b-abliterated) 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/huihui-ai/aya-expanse-8b-abliterated) for more details on the model.
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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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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo AIronMind/aya-expanse-8b-abliterated-Q4_K_M-GGUF --hf-file aya-expanse-8b-abliterated-q4_k_m.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 AIronMind/aya-expanse-8b-abliterated-Q4_K_M-GGUF --hf-file aya-expanse-8b-abliterated-q4_k_m.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 AIronMind/aya-expanse-8b-abliterated-Q4_K_M-GGUF --hf-file aya-expanse-8b-abliterated-q4_k_m.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 AIronMind/aya-expanse-8b-abliterated-Q4_K_M-GGUF --hf-file aya-expanse-8b-abliterated-q4_k_m.gguf -c 2048
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+ ```