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@@ -11,14 +11,14 @@ tags:
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  - gguf-my-repo
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  language:
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  - en
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- base_model: ZeroXClem/L3.1-Aspire-Heart-Matrix-8B
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  pipeline_tag: text-generation
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  library_name: transformers
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  ---
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- # ZeroXClem/L3.1-Aspire-Heart-Matrix-8B-Q8_0-GGUF
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- This model was converted to GGUF format from [`ZeroXClem/L3.1-Aspire-Heart-Matrix-8B`](https://huggingface.co/ZeroXClem/L3.1-Aspire-Heart-Matrix-8B) 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/ZeroXClem/L3.1-Aspire-Heart-Matrix-8B) 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)
@@ -31,12 +31,12 @@ 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 ZeroXClem/L3.1-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3.1-aspire-heart-matrix-8b-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 ZeroXClem/L3.1-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3.1-aspire-heart-matrix-8b-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.
@@ -53,9 +53,9 @@ cd llama.cpp && LLAMA_CURL=1 make
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  Step 3: Run inference through the main binary.
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  ```
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- ./llama-cli --hf-repo ZeroXClem/L3.1-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3.1-aspire-heart-matrix-8b-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 ZeroXClem/L3.1-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3.1-aspire-heart-matrix-8b-q8_0.gguf -c 2048
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  ```
 
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  - gguf-my-repo
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  language:
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  - en
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+ base_model: ZeroXClem/L3-Aspire-Heart-Matrix
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  pipeline_tag: text-generation
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  library_name: transformers
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  ---
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+ # ZeroXClem/L3-Aspire-Heart-Matrix-8B-Q8_0-GGUF
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+ This model was converted to GGUF format from [`ZeroXClem/L3-Aspire-Heart-Matrix-8B`](https://huggingface.co/ZeroXClem/L3-Aspire-Heart-Matrix-8B) 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/ZeroXClem/L3-Aspire-Heart-Matrix-8B) 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 ZeroXClem/L3-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3-aspire-heart-matrix-8b-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 ZeroXClem/L3-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3-aspire-heart-matrix-8b-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 3: Run inference through the main binary.
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  ```
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+ ./llama-cli --hf-repo ZeroXClem/L3-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3-aspire-heart-matrix-8b-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 ZeroXClem/L3-Aspire-Heart-Matrix-8B-Q8_0-GGUF --hf-file l3-aspire-heart-matrix-8b-q8_0.gguf -c 2048
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  ```