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README.md
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---
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language:
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- it
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- mistral
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- trl
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- sft
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- llama-cpp
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- gguf-my-repo
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datasets:
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- mchl-labs/stambecco_data_it
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pipeline_tag: text-generation
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widget:
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- text: "Di seguito è riportata un'istruzione che descrive un'attività, abbinata ad\
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\ un input che fornisce ulteriore informazione. Scrivi una risposta che soddisfi\
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\ adeguatamente la richiesta. \n### Istruzione:\nSuggerisci un'attività serale\
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\ romantica\n\n### Input:\n\n### Risposta:"
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example_title: Example 1
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---
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# mudler/Minerva-3B-Instruct-v1.0-Q8_0-GGUF
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This model was converted to GGUF format from [`walid-iguider/Minerva-3B-Instruct-v1.0`](https://huggingface.co/walid-iguider/Minerva-3B-Instruct-v1.0) 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/walid-iguider/Minerva-3B-Instruct-v1.0) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/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 mudler/Minerva-3B-Instruct-v1.0-Q8_0-GGUF --model minerva-3b-instruct-v1.0.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 mudler/Minerva-3B-Instruct-v1.0-Q8_0-GGUF --model minerva-3b-instruct-v1.0.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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```
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m minerva-3b-instruct-v1.0.Q8_0.gguf -n 128
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```
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