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Update README.md

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@@ -9,12 +9,17 @@ tags:
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  datasets:
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  - avemio/German-RAG-HARD-REASONING-DE-THINKING
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  base_model: avemio/German-RAG-R1-14B-SFT-DE-EXP
 
 
 
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  ---
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  # kalle07/German-RAG-R1-14B-SFT-DE-EXP-Q5_K_M-GGUF
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  This model was converted to GGUF format from [`avemio/German-RAG-R1-14B-SFT-DE-EXP`](https://huggingface.co/avemio/German-RAG-R1-14B-SFT-DE-EXP) 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/avemio/German-RAG-R1-14B-SFT-DE-EXP) 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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@@ -53,4 +58,4 @@ Step 3: Run inference through the main binary.
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  or
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  ```
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  ./llama-server --hf-repo kalle07/German-RAG-R1-14B-SFT-DE-EXP-Q5_K_M-GGUF --hf-file german-rag-r1-14b-sft-de-exp-q5_k_m.gguf -c 2048
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- ```
 
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  datasets:
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  - avemio/German-RAG-HARD-REASONING-DE-THINKING
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  base_model: avemio/German-RAG-R1-14B-SFT-DE-EXP
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+ language:
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+ - en
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+ - de
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  ---
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  # kalle07/German-RAG-R1-14B-SFT-DE-EXP-Q5_K_M-GGUF
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  This model was converted to GGUF format from [`avemio/German-RAG-R1-14B-SFT-DE-EXP`](https://huggingface.co/avemio/German-RAG-R1-14B-SFT-DE-EXP) 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/avemio/German-RAG-R1-14B-SFT-DE-EXP) for more details on the model.
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+ seems works good with german documents in combination with nomic embedded
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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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  or
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  ```
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  ./llama-server --hf-repo kalle07/German-RAG-R1-14B-SFT-DE-EXP-Q5_K_M-GGUF --hf-file german-rag-r1-14b-sft-de-exp-q5_k_m.gguf -c 2048
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+ ```