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Model: CL-From-Nothing/Qwen3-1-7B-SSD-RLVE-Eval20-N20-global-step-500
Source: Original Platform

README.md

@@ -0,0 +1,32 @@
+---
+license: mit
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen3
+- ssd
+- self-distillation
+- rlve
+---
+
+# Qwen3-1.7B SSD (RLVE Eval20, N=20) — global step 500
+
+Weights merged from VERL FSDP SFT checkpoint **`global_step_500`** (500 optimizer steps, 1 epoch schedule).
+
+## Training data
+
+Parquet SFT corpus (16k rows, `messages` column): [CL-From-Nothing/RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train](https://huggingface.co/datasets/CL-From-Nothing/RLVE-Eval20-Qwen3-1.7B-SSD-N20-SFT-Train).
+
+## Load
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "CL-From-Nothing/Qwen3-1-7B-SSD-RLVE-Eval20-N20-global-step-500"
+tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)
+```
+
+**Note:** Qwen3 requires `trust_remote_code=True`.