Instructions to use makotonlo/LLM2026_DPO_SFT19_v17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use makotonlo/LLM2026_DPO_SFT19_v17 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for makotonlo/LLM2026_DPO_SFT19_v17 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for makotonlo/LLM2026_DPO_SFT19_v17 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for makotonlo/LLM2026_DPO_SFT19_v17 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="makotonlo/LLM2026_DPO_SFT19_v17", max_seq_length=2048, )
LLM2026_DPO_SFT19_v17 (Silent Expert v17)
This model is the latest version of the Silent Expert, evolved from the high-performing SFT model makotonlo/LLM2026_SFT_finalv19_7B (v19) (Score: 0.767). It has been strictly fine-tuned using DPO with Beta 0.7 to completely eliminate conversational noise.
π― Optimization Goal (Absolute Silence)
Ensures the model outputs ONLY raw data (JSON, XML, YAML, CSV) without:
- Preambles (e.g., "Certainly!", "To convert this...")
- Markdown backticks (
json ...) - Post-output explanations (e.g., "Note: ...")
π Configuration (v17 Final Specs)
- Base Intelligence: v19 (0.767 accuracy)
- Method: DPO (Direct Preference Optimization)
- Learning Rate: 1e-05
- Beta: 0.7 (Maximum penalty for any non-data character)
- Epochs: 3.0
- LoRA Config: r=128, alpha=128
β οΈ Important: Usage Note
Please use the ChatML template for inference. The model is optimized to start its response directly with data-starting characters.
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support
Model tree for makotonlo/LLM2026_DPO_SFT19_v17
Base model
Qwen/Qwen2.5-7B Finetuned
Qwen/Qwen2.5-7B-Instruct Quantized
unsloth/Qwen2.5-7B-Instruct-bnb-4bit