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README.md

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+---
+inference: false
+library_name: transformers
+language:
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+- zh
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+license: cc-by-nc-4.0
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+    - Mauritius
+    - Malawi
+    - Malaysia
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+    - Nigeria
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+    - Sierra Leone
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+    - San Marino
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+    - Saint Pierre and Miquelon
+    - Serbia
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+    - Suriname
+    - Slovakia
+    - Slovenia
+    - Sweden
+    - Eswatini
+    - Sint Maarten (Dutch-part)
+    - Seychelles
+    - Syrian Arab Republic
+    - Turks and Caicos Islands
+    - Chad
+    - Togo
+    - Thailand
+    - Tajikistan
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+    - Tonga
+    - Trinidad and Tobago
+    - Tunisia
+    - Turkey
+    - Tuvalu
+    - Taiwan
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+    - Uganda
+    - Ukraine
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+    - Uruguay
+    - United-States
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+    - Holy See (Vatican City State)
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+    - Virgin Islands British
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+    - Zambia
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+  I agree to use this model for non-commercial use ONLY: checkbox
+base_model: CohereForAI/aya-23-8B
+tags:
+- llama-cpp
+- gguf-my-repo
+---
+
+# AIronMind/aya-23-8B-Q4_K_M-GGUF
+This model was converted to GGUF format from [`CohereForAI/aya-23-8B`](https://huggingface.co/CohereForAI/aya-23-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/CohereForAI/aya-23-8B) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo AIronMind/aya-23-8B-Q4_K_M-GGUF --hf-file aya-23-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo AIronMind/aya-23-8B-Q4_K_M-GGUF --hf-file aya-23-8b-q4_k_m.gguf -c 2048
+```
+
+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.
+
+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 AIronMind/aya-23-8B-Q4_K_M-GGUF --hf-file aya-23-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo AIronMind/aya-23-8B-Q4_K_M-GGUF --hf-file aya-23-8b-q4_k_m.gguf -c 2048
+```