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Spexcon-S1-v0.3-Experimental
YONKWd/Spexcon-S1-v0.3-Experimental
Spexcon-S1-v0.3-Experimental is a text generation model from YONKWd. 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.
This repository contains an experimental QLoRA smoke-test adapter for Spexcon S1. It is not the full Spexcon S1 release and should not be treated as a quality-improved production model.
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026
- SHA
- f1ce0bf8
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Base models
Model card
From the Hugging Face model README
Spexcon S1 v0.3 Experimental Adapter
This repository contains an experimental QLoRA smoke-test adapter for Spexcon S1. It is not the full Spexcon S1 release and should not be treated as a quality-improved production model.
- Base model:
Qwen/Qwen3-1.7B-Base - Source project:
YONKWd/Spexcon-S1 - Dataset:
HuggingFaceH4/ultrachat_200k - Dataset license:
mit - GPU:
Tesla T4 - Initial training loss:
1.796299934387207 - Final training loss:
1.796299934387207 - Evaluation report:
evaluation/v0.3-smoke-test.md
Load with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model = "Qwen/Qwen3-1.7B-Base"
adapter = "YONKWd/Spexcon-S1-v0.3-Experimental"
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(base_model, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026