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Model: modrill/Qwen3-4B-nothink-path3-ckpt2500 Source: Original Platform
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README.md
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README.md
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- qwen3
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- qwen
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- fine-tuned
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base_model: Qwen/Qwen3-4B-Base
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---
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# Qwen3-4B No-Think Path3 Checkpoint-2500
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Deliverable merged BF16 checkpoint for the Qwen3-4B no-think Path3 training run at checkpoint 2500.
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## Files
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- `model.safetensors` — merged BF16 weights
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- `config.json` / `generation_config.json`
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- `tokenizer.json` / `tokenizer_config.json`
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- `chat_template.jinja`
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## Load
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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repo = "modrill/Qwen3-4B-nothink-path3-ckpt2500"
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tok = AutoTokenizer.from_pretrained(repo, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(repo, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)
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```
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## Notes
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- Precision: BF16
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- Checkpoint: 2500
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- Training path: no-think Path3
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