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eigentiki
focustiki/eigentiki
eigentiki is a machine learning model from focustiki. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
I trained this LoRA adapter on top of google/gemma-2-9b-it. I used 6,625 examples of real coding agent work (tool calls, bash, reasoning).
Access
Public
Updated Sep 25, 2026
Repo size
1.3 GB
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0
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Repo makeup
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.safetensors216 MB · 85%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 24, 2026
- Updated
- Sep 25, 2026
- SHA
- 164eeca4
Base models
Model card
From the Hugging Face model README
eigentiki
I trained this LoRA adapter on top of google/gemma-2-9b-it. I used 6,625 examples of real coding agent work (tool calls, bash, reasoning).
Training
- Method: QLoRA (4-bit) with Unsloth
- Data: focustiki/sft-coding-agent-traces
- I ran a sweep of 3 configs and picked the best by eval loss.
- Winner: run_1 (eval_loss=4.5201)
- Settings: lr=0.0002, LoRA r=16, seq_len=4096
Sweep Results
| Run | LR | LoRA r | Seq Len | Eval Loss | Train Loss |
|---|---|---|---|---|---|
| run_1 | 0.0002 | 16 | 4096 | 4.5201 | 0.0000 |
| run_2 | 0.0001 | 32 | 8192 | 4.6942 | 0.0000 |
| run_3 | 5e-05 | 64 | 8192 | 4.8814 | 0.0000 |
How to Use
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="focustiki/eigentiki",
max_seq_length=8192,
load_in_4bit=True,
)
- License
- apache-2.0
- Created
- Sep 24, 2026
- Updated
- Sep 25, 2026