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@@ -34,7 +34,11 @@ With its robust natural language processing capabilities, **Codepy 3B Deep Think
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  | `tokenizer.json` | 17.2 MB | Full tokenizer vocabulary and merges. | Uploaded (LFS) |
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  | `tokenizer_config.json` | 57.5 kB | Tokenizer configuration details. | Uploaded |
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  ## <span style="color:green;">Sample Deepthink Inference</span>
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@@ -138,8 +142,3 @@ To customize the password length, modify the `password_length` variable in the s
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  - This implementation uses Python's `random` module, which is suitable for general-purpose randomness. For cryptographically secure passwords, consider using the `secrets` module.
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  - The character set includes spaces for additional complexity, but you can modify the `characters` string to include other symbols (e.g., `!@#$%^&*`).
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- ```
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-
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- | Model Type | Size | Context Length | Link |
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- |------------|------|----------------|------|
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- | GGUF | 3B | - | [🤗 Llama-Doctor-3.2-3B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-Doctor-3.2-3B-Instruct-GGUF) |
 
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  | `tokenizer.json` | 17.2 MB | Full tokenizer vocabulary and merges. | Uploaded (LFS) |
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  | `tokenizer_config.json` | 57.5 kB | Tokenizer configuration details. | Uploaded |
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+ | Model Type | Size | Context Length | Link |
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+ |------------|------|----------------|------|
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+ | GGUF | 3B | - | [🤗 Llama-Doctor-3.2-3B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-Doctor-3.2-3B-Instruct-GGUF) |
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+ ---
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  ## <span style="color:green;">Sample Deepthink Inference</span>
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  - This implementation uses Python's `random` module, which is suitable for general-purpose randomness. For cryptographically secure passwords, consider using the `secrets` module.
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  - The character set includes spaces for additional complexity, but you can modify the `characters` string to include other symbols (e.g., `!@#$%^&*`).
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