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README.md
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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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---
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#
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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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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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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 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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### 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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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 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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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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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.
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