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README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+language:
+- bg
+- ca
+- code
+- cs
+- cy
+- da
+- de
+- el
+- en
+- es
+- et
+- eu
+- fi
+- fr
+- ga
+- gl
+- hr
+- hu
+- it
+- lt
+- lv
+- mt
+- nl
+- nn
+- \no
+- oc
+- pl
+- pt
+- ro
+- ru
+- sh
+- sk
+- sl
+- sr
+- sv
+- uk
+datasets:
+- oscar-corpus/colossal-oscar-1.0
+- HuggingFaceFW/fineweb-edu
+- joelniklaus/eurlex_resources
+- joelito/legal-mc4
+- projecte-aina/CATalog
+- UFRGS/brwac
+- community-datasets/hrwac
+- danish-foundation-models/danish-gigaword
+- HiTZ/euscrawl
+- PleIAs/French-PD-Newspapers
+- PleIAs/French-PD-Books
+- AI-team-UoA/greek_legal_code
+- HiTZ/latxa-corpus-v1.1
+- allenai/peS2o
+- pile-of-law/pile-of-law
+- PORTULAN/parlamento-pt
+- hoskinson-center/proof-pile
+- togethercomputer/RedPajama-Data-1T
+- bigcode/starcoderdata
+- bjoernp/tagesschau-2018-2023
+- EleutherAI/the_pile_deduplicated
+base_model: BSC-LT/salamandra-7b-instruct
+tags:
+- llama-cpp
+- gguf-my-repo
+---
+
+# fernandoruiz/salamandra-7b-instruct-Q4_0-GGUF
+This model was converted to GGUF format from [`BSC-LT/salamandra-7b-instruct`](https://huggingface.co/BSC-LT/salamandra-7b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/BSC-LT/salamandra-7b-instruct) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo fernandoruiz/salamandra-7b-instruct-Q4_0-GGUF --hf-file salamandra-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo fernandoruiz/salamandra-7b-instruct-Q4_0-GGUF --hf-file salamandra-7b-instruct-q4_0.gguf -c 2048
+```
+
+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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+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).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo fernandoruiz/salamandra-7b-instruct-Q4_0-GGUF --hf-file salamandra-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo fernandoruiz/salamandra-7b-instruct-Q4_0-GGUF --hf-file salamandra-7b-instruct-q4_0.gguf -c 2048
+```