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CLM-0.8B
Natarizki/CLM-0.8B
CLM-0.8B is a machine learning model from Natarizki. 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.
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At a glance
- License
- apache-2.0
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 17, 2026
- SHA
- 6e130c9e
Base models
Model card
From the Hugging Face model README
CLM
CLM stands for Combined Language Model
CLM is a merged and self-recognizing language model built on Qwen3.5-0.8B.
Pipeline
- Manual PyTorch SLERP merge of 3 Claude-distilled Qwen3.5-0.8B checkpoints
- Identity fine-tuning with LoRA r=32, 50 epochs, masked labels
- Result: Model correctly identifies itself as CLM
Source Models
| Model | Weight |
|---|---|
| Amine-CV/Qwen3.5-0.8B-Mythos-Distill | 0.40 |
| Jackrong/Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled | 0.30 |
| dalatexcoder/Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled-heretic | 0.30 |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Natarizki/CLM", torch_dtype=torch.float16, device_map="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("Natarizki/CLM", trust_remote_code=True)
License
Apache 2.0
- Type
- qwen3_5_text
- License
- apache-2.0
- Languages
- en, id
- Created
- Aug 14, 2026
- Updated
- Aug 17, 2026