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@@ -10,12 +10,17 @@ tags:
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  - llama-cpp
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  - gguf-my-repo
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  licence: license
 
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  ---
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  # Triangle104/GemmaCoder3-12B-Q4_K_M-GGUF
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  This model was converted to GGUF format from [`burtenshaw/GemmaCoder3-12B`](https://huggingface.co/burtenshaw/GemmaCoder3-12B) 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/burtenshaw/GemmaCoder3-12B) 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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@@ -54,4 +59,4 @@ 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 Triangle104/GemmaCoder3-12B-Q4_K_M-GGUF --hf-file gemmacoder3-12b-q4_k_m.gguf -c 2048
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- ```
 
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  - llama-cpp
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  - gguf-my-repo
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  licence: license
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+ license: gemma
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  ---
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  # Triangle104/GemmaCoder3-12B-Q4_K_M-GGUF
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  This model was converted to GGUF format from [`burtenshaw/GemmaCoder3-12B`](https://huggingface.co/burtenshaw/GemmaCoder3-12B) 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/burtenshaw/GemmaCoder3-12B) for more details on the model.
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+ ---
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+ This model is a fine-tuned version of google/gemma-3-12b-it on the open-r1/codeforces-cots dataset. It has been trained using TRL.
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+
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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 Triangle104/GemmaCoder3-12B-Q4_K_M-GGUF --hf-file gemmacoder3-12b-q4_k_m.gguf -c 2048
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+ ```