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@@ -4,54 +4,18 @@ datasets:
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  - cerebras/SlimPajama-627B
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  - bigcode/starcoderdata
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  - teknium/openhermes
 
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  language:
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  - en
 
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  base_model: cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
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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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- # Novaciano/TinyDolphin-2.8.2-1.1b-laser-Q5_K_M-GGUF
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- This model was converted to GGUF format from [`cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser`](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser) 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/cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser) 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 Novaciano/TinyDolphin-2.8.2-1.1b-laser-Q5_K_M-GGUF --hf-file tinydolphin-2.8.2-1.1b-laser-q5_k_m-imat.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 Novaciano/TinyDolphin-2.8.2-1.1b-laser-Q5_K_M-GGUF --hf-file tinydolphin-2.8.2-1.1b-laser-q5_k_m-imat.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 Novaciano/TinyDolphin-2.8.2-1.1b-laser-Q5_K_M-GGUF --hf-file tinydolphin-2.8.2-1.1b-laser-q5_k_m-imat.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 Novaciano/TinyDolphin-2.8.2-1.1b-laser-Q5_K_M-GGUF --hf-file tinydolphin-2.8.2-1.1b-laser-q5_k_m-imat.gguf -c 2048
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- ```
 
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  - cerebras/SlimPajama-627B
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  - bigcode/starcoderdata
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  - teknium/openhermes
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+ - jmibarlucea/mistral-argentina-reddit
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  language:
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  - en
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+ - es
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  base_model: cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
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  tags:
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  - llama-cpp
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+ - TinyLlama
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+ - 1b
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+ - 4-Bit
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+ - Argentina
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  ---
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+ # TinyBoludo V1
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+ Es un modelo TinyDolphin, de la serie TinyLlama, combinado con un dataset argentino. Debería en teoría responder como argentino promedio. Quiero creer que no tiene censura, pero no garantizo nada.