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Model: y-ohtani/qwen3-4b-agent-sft-true
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+datasets:
+  - Gen-Verse/Open-AgentRL-SFT-3K
+language:
+  - en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - agent
+  - tool-use
+  - sft
+  - multi-turn
+  - code-interpreter
+  - open-agentrl
+---
+
+# Qwen3-4B-Agent-SFT-True
+
+This repository contains a **full fine-tuned model** (not LoRA adapter) based on
+**Qwen3-4B-Instruct-2507**, trained with multi-turn agentic SFT using the
+[Open-AgentRL](https://github.com/Gen-Verse/Open-AgentRL) framework (verl FSDP SFT Trainer).
+
+## Training Configuration
+
+| Parameter | Value |
+|---|---|
+| Base model | `Qwen/Qwen3-4B-Instruct-2507` |
+| Method | Full fine-tuning (FSDP, bfloat16) |
+| Max sequence length | 32,768 |
+| Epochs | 10 |
+| Train batch size | 16 |
+| Micro batch size per GPU | 1 |
+| Truncation | right |
+| Trainer | `verl.trainer.fsdp_sft_trainer` |
+
+## Dataset
+
+- **Name**: [Gen-Verse/Open-AgentRL-SFT-3K](https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-SFT-3K)
+- **Samples**: 3,000 multi-turn conversations
+- **Source**: Original Open-AgentRL SFT dataset (real End-to-End agentic trajectories)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "y-ohtani/qwen3-4b-agent-sft-true"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [
+    {"role": "user", "content": "Solve the equation x^2 - 5x + 6 = 0 step by step."}
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=2048)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Sources & Terms
+
+| Component | Source | License |
+|---|---|---|
+| Base model | [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) | Apache-2.0 |
+| SFT dataset | [Gen-Verse/Open-AgentRL-SFT-3K](https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-SFT-3K) | -- |
+| Training framework | [Open-AgentRL](https://github.com/Gen-Verse/Open-AgentRL) (verl) | Apache-2.0 |
+
+Users must comply with the base model license and dataset terms.