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cot-dialect-olmo3-7b-think-conditioned-sft
ssurface/cot-dialect-olmo3-7b-think-conditioned-sft
cot-dialect-olmo3-7b-think-conditioned-sft is a text generation model from ssurface. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
The alternative design: one adapter asked to serve every verbosity level by naming the level in the prompt, instead of one adapter per level. This is the comparison that motivates the per-level family.
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026
- SHA
- d59da5fa
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
Olmo-3-7B-Think — single conditioned model
The alternative design: one adapter asked to serve every verbosity level by naming the level in the prompt, instead of one adapter per level. This is the comparison that motivates the per-level family.
Results
The SFT stage of the conditioned model. Numbers are reported for the GRPO stages, in the two companion repos.
Training
| Stage | SFT (distillation), all levels in one corpus |
| Conditioning | the level is named in the prompt, not selected by adapter |
| Engine | HF transformers + peft |
| LoRA | r=16, alpha=32 |
| Hardware | 1x NVIDIA A100 80GB |
Usage
Solve this using Level {N} ({Verbose|Concise|Symbolic|Shorthand|Extreme}).
Problem: {your problem}
from transformers import AutoModelForCausalLM
from peft import PeftModel
model = AutoModelForCausalLM.from_pretrained("allenai/Olmo-3-7B-Think", torch_dtype="bfloat16", device_map="auto")
model = PeftModel.from_pretrained(model, "ssurface/cot-dialect-olmo3-7b-think-conditioned-sft")
Limitations
- A design comparison, not a recommended model. The per-level adapters in this collection are the ones the results are reported on.
- Single seed.
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026