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README.md
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- Llama
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- Code
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- CoT
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- Deepsync
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- 3b
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- llama-cpp
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- gguf-my-repo
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library_name: transformers
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---
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#
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This model was converted to GGUF format from [`prithivMLmods/Llama-Deepsync-1B`](https://huggingface.co/prithivMLmods/Llama-Deepsync-1B) 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/prithivMLmods/Llama-Deepsync-1B) for more details on the model.
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##
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brew install llama.cpp
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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/Llama-Deepsync-1B-Q4_K_M-GGUF --hf-file llama-deepsync-1b-q4_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/Llama-Deepsync-1B-Q4_K_M-GGUF --hf-file llama-deepsync-1b-q4_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/Llama-Deepsync-1B-Q4_K_M-GGUF --hf-file llama-deepsync-1b-q4_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/Llama-Deepsync-1B-Q4_K_M-GGUF --hf-file llama-deepsync-1b-q4_k_m-imat.gguf -c 2048
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```
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- nsfw
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- rp
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- roleplay
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- Llama
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- Code
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- CoT
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- Deepsync
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- 3b
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- llama-cpp
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library_name: transformers
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---
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# LLAMA 3.2 1B DEEPSYNC AESIR
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## Sobre el modelo
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Veamos, les voy a ser honesto. No se ni que carajo hice combinando el Llama 3.2 1b DeepSync con el dataset Aesir Preview de MinervaAI.
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Puede salir cualquier cosa de esto, desde un modelo DeepSync con contenido NSFW a una aberraci贸n media extra帽a que vomite incoherencias.
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No lo prob茅 a煤n por lo que se poca cosa. Tomenlo como un modelo experimental.
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