kth8 / gemma-3-1b-it-User-Prompt-Classifier

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Model's Last Updated: April 03 2026
text-generation

Introduction of gemma-3-1b-it-User-Prompt-Classifier

Model Details of gemma-3-1b-it-User-Prompt-Classifier

logo A fine-tune of unsloth/gemma-3-1b-it on the kth8/user_prompt_domain_classification-500000x dataset.

Usage example

System prompt

You are a text classifier. Categorize the following text into domain and sub-domain in JSON format.

User prompt

In a high-pressure mantle plume environment, what are the thermodynamic constraints on carbon isotope fractionation during subduction-induced carbonate dissolution, and how might these constraints be detected in deep-mantle xenolith isotopic signatures?

Assistant response

{"domain": "Science", "sub_domain": "Geochemistry"}
Model Details
  • Base Model: unsloth/gemma-3-1b-it
  • Parameter Count: 1,025,977,472
  • Precision: torch.bfloat16
Hardware
  • GPU: NVIDIA RTX PRO 6000 Blackwell Server Edition
  • Announced: Mar 17th, 2025
  • Release Date: Mar 18th, 2025
  • Memory Type: GDDR7
  • Bandwidth: 1.79 TB/s
  • Memory Size: 96 GB
  • Memory Bus: 512 bit
  • CUDA cores: 24064
  • Tensor cores: 752
  • TDP: 600W
Training Settings
PEFT
  • Rank: 32
  • LoRA alpha: 64
  • Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
  • Gradient checkpointing: unsloth
SFT
  • Epoch: 1
  • Batch size: 32
  • Gradient Accumulation steps: 1
  • Learning rate: 0.0002
  • Optimizer: adamw_torch_fused
  • Learning rate scheduler: cosine
Training stats
  • Date: 2026-04-03T08:55:16.488980
  • Peak VRAM usage: 56.955 GB
  • Global step: 15549
  • Training runtime (seconds): 10932.489
  • Average training loss: 0.07700621252987912
  • Final validation loss: 0.06257233023643494
Framework versions
  • Unsloth: 2026.4.1
  • TRL: 0.24.0
  • Transformers: 5.5.0
  • Pytorch: 2.10.0
  • Datasets: 4.3.0
  • Tokenizers: 0.22.2
License

This model is released under the Gemma license. See the Gemma Terms of Use and Prohibited Use Policy regarding the use of Gemma-generated content.

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gemma-3-1b-it-User-Prompt-Classifier is an open source model from GitHub that offers a free installation service, and any user can find gemma-3-1b-it-User-Prompt-Classifier on GitHub to install. At the same time, huggingface.co provides the effect of gemma-3-1b-it-User-Prompt-Classifier install, users can directly use gemma-3-1b-it-User-Prompt-Classifier installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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