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Model: LARK-Lab/EnvFactory-1.7B Source: Original Platform
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148
README.md
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README.md
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---
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library_name: transformers
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tags:
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- tool-use
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- agentic-rl
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- environment-synthesis
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- EnvFactory
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license: apache-2.0
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datasets:
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- LARK-Lab/EnvFactory-RL
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- LARK-Lab/EnvFactory-SFT-FILTERED
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language:
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- en
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base_model:
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- Qwen/Qwen3-1.7B
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---
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<h2 align="center">
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EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
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</h2>
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<p align="center">
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<a href="https://arxiv.org/abs/2605.18703">
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<img
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src="https://img.shields.io/badge/Paper-Arxiv-red?logo=arxiv&logoColor=red"
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alt="EnvFactory Paper on arXiv"
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/>
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</a>
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<a href="https://github.com/LARK-AI-Lab/EnvFactory">
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<img
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src="https://img.shields.io/badge/GitHub-Code-181717?logo=github&logoColor=white"
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alt="GitHub Code"
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/>
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</a>
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<a href="https://lark-ai-lab.github.io/envfactory.github.io/">
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<img
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src="https://img.shields.io/badge/GitHub-Page-4078c0?logo=github&logoColor=white"
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alt="GitHub Page"
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/>
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</a>
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<a href="https://huggingface.co/collections/LARK-Lab/envfactory">
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<img
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src="https://img.shields.io/badge/Datasets-Hugging%20Face%20Data-orange?logo=huggingface&logoColor=yellow"
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alt="Datasets on Hugging Face"
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/>
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</a>
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<a href="https://huggingface.co/collections/LARK-Lab/envfactory">
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<img
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src="https://img.shields.io/badge/EnvFactory-Hugging%20Face%20Model-FFCC00?logo=huggingface&logoColor=yellow"
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alt="EnvFactory on Hugging Face"
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/>
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</a>
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</p>
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## Overview
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We propose **EnvFactory**, a fully automated framework that addresses the challenges of equipping LLMs with tool-use capabilities via Agentic Reinforcement Learning (Agentic RL). EnvFactory autonomously explores and verifies stateful, executable tool environments from authentic resources, and synthesizes natural multi-turn trajectories through topology-aware sampling and calibrated refinement, producing grounded queries with implicit intents.
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This model is the official **EnvFactory-1.7B** trained from [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) using SFT and RL on synthesized tool-use trajectories.
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## Key Features
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- **Executable Environment Synthesis**: Automatically discovers, validates, and deploys MCP-based tool environments from real-world APIs
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- **Topology-Aware Trajectory Sampling**: Generates natural multi-turn tool-use trajectories that capture implicit human reasoning
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- **Robust RL Training**: Uses verified environments and calibrated refinement for stable reinforcement learning
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- **Scalable Architecture**: Achieves superior performance with significantly fewer environments (85 environments across 7 domains)
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## Training Details
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### Training Data
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- **SFT Data**: [LARK-Lab/EnvFactory-SFT-FILTERED](https://huggingface.co/datasets/LARK-Lab/EnvFactory-SFT-FILTERED) - 53.4k filtered trajectories
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- **RL Data**: [LARK-Lab/EnvFactory-RL](https://huggingface.co/datasets/LARK-Lab/EnvFactory-RL) - 3.09k trajectories
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### Training Procedure
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- **SFT Stage**: Full fine-tuning using LlamaFactory with DeepSpeed ZeRO-3
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- **RL Stage**: Reinforcement learning using forked VeRL framework
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- **Base Model**: Qwen/Qwen3-1.7B
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- **Training Epochs**: 1 epoch for SFT
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- **Learning Rate**: 1.0e-6 with cosine scheduler
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- **Batch Size**: 1 per device with gradient accumulation of 32
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## Performance
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Results on tool-use benchmarks compared to the base model:
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| Model | BFCL Single Turn | BFCL Multi Turn | MCP-Atlas Pass Rate | MCP-Atlas Mean Cov. | τ²-Bench Avg. | VitaBench Avg. | Overall Avg. |
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|-------|------------------|-----------------|---------------------|---------------------|---------------|----------------|--------------|
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| Qwen3-1.7B (Base) | 79.48 | 16.75 | 1.03 | 6.25 | 14.61 | 1.33 | 16.27 |
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| **EnvFactory-1.7B** | 78.44 | 28.38 | 3.09 | 9.64 | 15.11 | 7.33 | 19.74 |
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## Usage
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### Tool-Use Agent
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_path = "LARK-Lab/EnvFactory-1.7B"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16, device_map="auto")
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# Example tool-use conversation
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messages = [
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{"role": "system", "content": "You are a helpful assistant with access to various tools."},
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{"role": "user", "content": "Search for recent papers about tool-use agents on arxiv."}
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]
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input_ids = tokenizer.apply_chat_template(messages, tokenize=True, return_tensors="pt").to(model.device)
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outputs = model.generate(input_ids, max_new_tokens=1024, temperature=0.7, top_p=0.9)
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response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
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print(response)
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```
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### With MCP Tools
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```python
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# Load MCP tool configuration
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import json
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with open("configs/mcp_server.json", "r") as f:
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mcp_config = json.load(f)
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# Use with your preferred MCP client
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# See https://github.com/LARK-AI-Lab/EnvFactory for integration details
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```
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## Citation
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If you find our work helpful, please consider citing:
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```bibtex
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@misc{xu2026envfactoryscalingtooluseagents,
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title={EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL},
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author={Minrui Xu and Zilin Wang and Mengyi DENG and Zhiwei Li and Zhicheng Yang and Xiao Zhu and Yinhong Liu and Boyu Zhu and Baiyu Huang and Chao Chen and Heyuan Deng and Fei Mi and Lifeng Shang and Xingshan Zeng and Zhijiang Guo},
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year={2026},
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eprint={2605.18703},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2605.18703},
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}
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```
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## License
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This model is released under the Apache 2.0 License.
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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60
config.json
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config.json
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{
|
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"architectures": [
|
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"Qwen3ForCausalLM"
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],
|
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"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
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"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
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"hidden_size": 2048,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 6144,
|
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"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
|
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"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
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"transformers_version": "4.56.1",
|
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"use_cache": false,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 151936
|
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}
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generation_config.json
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generation_config.json
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{
|
||||
"do_sample": true,
|
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"eos_token_id": [
|
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151645,
|
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151643
|
||||
],
|
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"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
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"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.56.1"
|
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}
|
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merges.txt
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merges.txt
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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:67f11d70031c5648e9d1b0a2107827bf49b42039888e636167470e8a398a5f3d
|
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size 4063515640
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special_tokens_map.json
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special_tokens_map.json
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{
|
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"additional_special_tokens": [
|
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"<|im_start|>",
|
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"<|im_end|>",
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"<|object_ref_start|>",
|
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"<|object_ref_end|>",
|
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"<|box_start|>",
|
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"<|box_end|>",
|
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"<|quad_start|>",
|
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"<|quad_end|>",
|
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"<|vision_start|>",
|
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"<|vision_end|>",
|
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"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user