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Sponsored by
APIMart
kth8 / gemma-3-270m-it-Email-Generator
Model's Last Updated: March 25 2026
text-generation
Introduction of gemma-3-270m-it-Email-Generator
Model Details of gemma-3-270m-it-Email-Generator
A fine-tune of
unsloth/gemma-3-270m-it
on the
Kamisori-daijin/email-datasets-20k
dataset.
Usage example
System prompt
You are a helpful assistant.
User prompt
Write a direct and concise business email(under 200 words) from a Founder to a Angry Shareholder regarding notifying about a price change, specifically after winning a major award.
Assistant response
Regarding Pricing Update - [Company Name]
Dear [Shareholder Name],
I'm writing to address your concerns regarding our recent pricing update. You're right to raise questions, and I want to be transparent about the reasoning behind it.
We're incredibly proud to announce that [Company Name] recently won the [Award Name] award - a significant validation of our innovative product and market position. This achievement, coupled with increased customer demand, has necessitated a modest price adjustment to ensure we can continue investing in product development and deliver the exceptional service our customers expect.
We remain confident in the value we provide and believe this change will ultimately benefit all our stakeholders. We welcome the opportunity to discuss this further with you.
Sincerely,
[Name]
Founder, [Company Name]
Model Details
-
Base Model:
unsloth/gemma-3-270m-it - Parameter Count: 268098176
- Precision: torch.bfloat16
Training Settings
Hardware
- GPU: NVIDIA A100-SXM4-40GB
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: 3
- Batch size: 40
- Gradient Accumulation steps: 1
- Warmup ratio: 0.1
- Learning rate: 0.0002
- Optimizer: adamw_torch_fused
- Learning rate scheduler: cosine
Training stats
- Global step: 1416
- Training runtime (seconds): 1362.9709
- Average training loss: 1.2711892262690485
- Final validation loss: 1.2283138036727905
Framework versions
- Unsloth: 2026.3.8
- TRL: 0.22.2
- Transformers: 4.56.2
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.3
- 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.
Runs of kth8 gemma-3-270m-it-Email-Generator on huggingface.co
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More Information About gemma-3-270m-it-Email-Generator huggingface.co Model
Url of gemma-3-270m-it-Email-Generator
gemma-3-270m-it-Email-Generator huggingface.co Url
Provider of gemma-3-270m-it-Email-Generator huggingface.co
Other API from kth8
Updated:June 01 2026
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