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Update README.md

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@@ -57,7 +57,7 @@ used.
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  The application configuration points to the following default local model path:
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  ```text
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- is-leeroy-jenkins/gemma-3-270m-it-Q4_K_M.gguf
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  ```
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  The runtime loads the model through `Llama(...)` from `llama_cpp`, and the application defaults to a
@@ -120,7 +120,7 @@ Typical usage scenarios include:
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  from llama_cpp import Llama
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  llm = Llama(
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- model_path="is-leeroy-jenkins/gemma-3-270m-it-Q4_K_M.gguf",
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  n_ctx=4096,
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  )
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@@ -138,7 +138,7 @@ print(response["choices"][0]["message"]["content"])
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  ```bash
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  ./llama-cli \
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- -m is-leeroy-jenkins/gemma-3-270m-it-Q4_K_M.gguf\
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  -c 4096 \
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  -p "Write a short description of buddy."
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  ```
@@ -169,7 +169,7 @@ consumer hardware, but it may also reduce generation quality relative to higher-
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  The following points are supported by the buddy source files:
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  * the application expects a model file named `llm/gemma-3-270m-it-Q4_K_M.gguf`
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- * the configured model path is `is-leeroy-jenkins/gemma-3-270m-it-Q4_K_M.gguf`
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  * inference is performed through `llama-cpp-python`
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  * the application uses a 4096-token context window by default
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  * the application combines local text generation with embedding-based retrieval components
@@ -264,7 +264,7 @@ This repository is expected to contain:
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  ```text
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  README.md
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- is-leeroy-jenkins/gemma-3-270m-it-Q4_K_M.gguf
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  ```
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  ## Relationship to the Main buddy Repository
 
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  The application configuration points to the following default local model path:
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  ```text
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+ buddy/gemma-3-270m-it-Q4_K_M.gguf
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  ```
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  The runtime loads the model through `Llama(...)` from `llama_cpp`, and the application defaults to a
 
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  from llama_cpp import Llama
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  llm = Llama(
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+ model_path="buddy/gemma-3-270m-it-Q4_K_M.gguf",
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  n_ctx=4096,
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  )
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  ```bash
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  ./llama-cli \
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+ -m buddy\gemma-3-270m-it-Q4_K_M.gguf\
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  -c 4096 \
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  -p "Write a short description of buddy."
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  ```
 
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  The following points are supported by the buddy source files:
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  * the application expects a model file named `llm/gemma-3-270m-it-Q4_K_M.gguf`
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+ * the configured model path is `buddy/gemma-3-270m-it-Q4_K_M.gguf`
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  * inference is performed through `llama-cpp-python`
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  * the application uses a 4096-token context window by default
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  * the application combines local text generation with embedding-based retrieval components
 
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  ```text
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  README.md
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+ buddy/gemma-3-270m-it-Q4_K_M.gguf
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  ```
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  ## Relationship to the Main buddy Repository