ToolSpace-35B-A3B
Code · Evaluation · 8B · 35B-A3B · 744B-A40B
ToolSpace-35B-A3B is a Qwen3.6-35B-A3B mixture-of-experts agent model trained with ToolSpace trajectories and on-policy agent reinforcement learning for long-horizon tool use.
ToolSpace constructs a tool-composition graph from real execution traces, capturing data, state, and retry dependencies. It synthesizes cross-environment tasks through state-aware walks with rollback and keeps trajectories that pass execution-based verification.
Paper: ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents.
https://huggingface.co/papers/2611.05036
Model information
| Item | Details |
|---|---|
| Backbone | Qwen3.6-35B-A3B |
| Architecture | MoE, 35B total / 3B active parameters |
| Context length | 262,144 tokens |
| Weight format | BF16 Safetensors |
| Training | Supervised fine-tuning + agent RL |
Results
Results from Table 1 of the ToolSpace paper. Avg. is the unweighted mean over the seven benchmarks.
| Model | AutomationBench | SkillsBench | JobBench | τ³-Bench Banking | BFCL V4 | Harvey LAB | OfficeQA Pro | Avg. |
|---|---|---|---|---|---|---|---|---|
| Qwen3.6-35B-A3B | 8.2 | 30.7 | 6.4 | 9.3 | 60.0 | 0.8 | 45.9 | 23.0 |
| ToolSpace-35B-A3B (SFT) | 45.8 | 42.4 | 40.0 | 34.0 | 74.3 | 1.7 | 48.9 | 41.0 |
| ToolSpace-35B-A3B + Agent RL (this checkpoint) | 45.8 | 45.3 | 40.0 | 42.3 | 74.8 | 2.5 | 51.9 | 43.2 |
Usage
Example vLLM deployment with four GPUs and a 64K serving window:
vllm serve dongguanting/ToolSpace-35B-A3B \
--served-model-name ToolSpace-35B-A3B \
--tensor-parallel-size 4 \
--max-model-len 65536 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_xml \
--reasoning-parser qwen3
Use the included tokenizer and chat template for text and tool-call messages.
Evaluation commands and benchmark configurations are available in the ToolSpace evaluation directory.