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tensorblock/
ArindamSingh_gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-GGUF

Name: ArindamSingh_gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-GGUF
Availability: InStock

ArindamSingh/gemma-3-1b-it-medical-o1-reasoning-finetune-16bit

text-generation-inference

transformers

unsloth

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ArindamSingh/gemma-3-1b-it-medical-o1-reasoning-finetune-16bit - GGUF

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This repo contains GGUF format model files for ArindamSingh/gemma-3-1b-it-medical-o1-reasoning-finetune-16bit.

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

<bos><start_of_turn>user
{system_prompt}

{prompt}<end_of_turn>
<start_of_turn>model

Model file specification

Filename	Quant type	File Size	Description
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q2_K.gguf	Q2_K	0.690 GB	smallest, significant quality loss - not recommended for most purposes
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q3_K_S.gguf	Q3_K_S	0.689 GB	very small, high quality loss
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q3_K_M.gguf	Q3_K_M	0.722 GB	very small, high quality loss
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q3_K_L.gguf	Q3_K_L	0.752 GB	small, substantial quality loss
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q4_0.gguf	Q4_0	0.720 GB	legacy; small, very high quality loss - prefer using Q3_K_M
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q4_K_S.gguf	Q4_K_S	0.781 GB	small, greater quality loss
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q4_K_M.gguf	Q4_K_M	0.806 GB	medium, balanced quality - recommended
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q5_0.gguf	Q5_0	0.808 GB	legacy; medium, balanced quality - prefer using Q4_K_M
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q5_K_S.gguf	Q5_K_S	0.836 GB	large, low quality loss - recommended
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q5_K_M.gguf	Q5_K_M	0.851 GB	large, very low quality loss - recommended
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q6_K.gguf	Q6_K	1.012 GB	very large, extremely low quality loss
gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-Q8_0.gguf	Q8_0	1.069 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/ArindamSingh_gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-GGUF --include "gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-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/ArindamSingh_gemma-3-1b-it-medical-o1-reasoning-finetune-16bit-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'