tensorblock/unsloth_Phi-4-reasoning-plus-GGUF

unsloth/Phi-4-reasoning-plus - GGUF

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This repo contains GGUF format model files for unsloth/Phi-4-reasoning-plus.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

<|im_start|>system<|im_sep|>You are Phi, a language model trained by Microsoft to help users. Your role as an assistant involves thoroughly exploring questions through a systematic thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop well-considered thinking process. Please structure your response into two main sections: Thought and Solution using the specified format: <think> {Thought section} </think> {Solution section}. In the Thought section, detail your reasoning process in steps. Each step should include detailed considerations such as analysing questions, summarizing relevant findings, brainstorming new ideas, verifying the accuracy of the current steps, refining any errors, and revisiting previous steps. In the Solution section, based on various attempts, explorations, and reflections from the Thought section, systematically present the final solution that you deem correct. The Solution section should be logical, accurate, and concise and detail necessary steps needed to reach the conclusion. Now, try to solve the following question through the above guidelines:<|im_end|><|im_start|>system<|im_sep|>You are Phi, a language model trained by Microsoft to help users. Your role as an assistant involves thoroughly exploring questions through a systematic thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop well-considered thinking process. Please structure your response into two main sections: Thought and Solution using the specified format: <think> {Thought section} </think> {Solution section}. In the Thought section, detail your reasoning process in steps. Each step should include detailed considerations such as analysing questions, summarizing relevant findings, brainstorming new ideas, verifying the accuracy of the current steps, refining any errors, and revisiting previous steps. In the Solution section, based on various attempts, explorations, and reflections from the Thought section, systematically present the final solution that you deem correct. The Solution section should be logical, accurate, and concise and detail necessary steps needed to reach the conclusion. Now, try to solve the following question through the above guidelines:<|im_end|><|im_start|>assistant<|im_sep|>

Model file specification

Filename	Quant type	File Size	Description
Phi-4-reasoning-plus-Q2_K.gguf	Q2_K	5.547 GB	smallest, significant quality loss - not recommended for most purposes
Phi-4-reasoning-plus-Q3_K_S.gguf	Q3_K_S	6.505 GB	very small, high quality loss
Phi-4-reasoning-plus-Q3_K_M.gguf	Q3_K_M	7.363 GB	very small, high quality loss
Phi-4-reasoning-plus-Q3_K_L.gguf	Q3_K_L	7.930 GB	small, substantial quality loss
Phi-4-reasoning-plus-Q4_0.gguf	Q4_0	8.383 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Phi-4-reasoning-plus-Q4_K_S.gguf	Q4_K_S	8.441 GB	small, greater quality loss
Phi-4-reasoning-plus-Q4_K_M.gguf	Q4_K_M	9.053 GB	medium, balanced quality - recommended
Phi-4-reasoning-plus-Q5_0.gguf	Q5_0	10.152 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Phi-4-reasoning-plus-Q5_K_S.gguf	Q5_K_S	10.152 GB	large, low quality loss - recommended
Phi-4-reasoning-plus-Q5_K_M.gguf	Q5_K_M	10.604 GB	large, very low quality loss - recommended
Phi-4-reasoning-plus-Q6_K.gguf	Q6_K	12.030 GB	very large, extremely low quality loss
Phi-4-reasoning-plus-Q8_0.gguf	Q8_0	15.581 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/unsloth_Phi-4-reasoning-plus-GGUF --include "Phi-4-reasoning-plus-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/unsloth_Phi-4-reasoning-plus-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'