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Model: RexTRO111/Qwen3-4B-MegaR3ASONER-v1
Source: Original Platform

README.md

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+---
+language:
+- en
+license: other
+library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-4B-Thinking-2507
+base_model_relation: finetune
+tags:
+- qwen
+- qwen3
+- reasoning
+- chain-of-thought
+- text-generation
+- bf16
+- merged
+datasets:
+- HuggingFaceH4/Bespoke-Stratos-17k
+- nvidia/OpenMathReasoning
+- nvidia/OpenCodeReasoning
+- nvidia/OpenScienceReasoning-2
+- lordx64/reasoning-distill-opus-4-7-max-sft
+---
+
+# Qwen3-4B-MegaR3ASONER-v1
+
+A full merged reasoning model created by merging the MegaR3ASONER LoRA into
+[`Qwen/Qwen3-4B-Thinking-2507`](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507).
+
+## Model type
+
+This repository contains the complete merged Transformers model, not only the
+PEFT adapter. It can be loaded directly without `PeftModel`.
+
+- Base model: `Qwen/Qwen3-4B-Thinking-2507`
+- Merge dtype: BF16
+- Adapter source: `RexTRO111/Qwen3-4B-MegaR3ASONER-LoRA-v1`
+- Training hardware: NVIDIA A10G on Modal
+- Merge hardware: NVIDIA A10G on Modal
+
+## Preliminary evaluation
+
+On the first 100 examples selected by EleutherAI's `gsm8k_cot` task:
+
+- Flexible extraction exact match: **88%**
+- Strict match: **83%**
+
+This was a limited 100-question run, not a full GSM8K score and not a
+controlled base-versus-fine-tune comparison.
+
+## Loading
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "RexTRO111/Qwen3-4B-MegaR3ASONER-v1"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+model.eval()
+```
+
+## Limitations
+
+- It may produce an incorrect intermediate thought before correcting itself.
+- It can overthink simple prompts.
+- Long reasoning traces increase latency and cost.
+- Benchmark contamination has not been exhaustively ruled out.
+- Verify answers before high-stakes use.
+
+## Licensing note
+
+The Qwen base model and every training dataset retain their own licenses and
+upstream terms. Review all applicable terms before redistribution or
+commercial use.