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