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library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3.5-9B
tags:
- harness-engineering
- agent
- supervised-fine-tuning
- reinforcement-learning
---
# Harness-R1
Model artifacts for Harness-R1 experiments. The repository separates the
target agent from the Harness Engineer so that the two roles are not confused.
| Directory | Role |
|---|---|
| `cold-start-sft/` | Supervised-only Harness Engineer (SFT/0), used to initialize E0 RL |
| `harness-r1/` | E0 Harness Engineer for the vanilla A0 target agent |
| `agent-sft-harness-r1/` | E1 Harness Engineer conditioned on A1 trajectories |
| `target-agent-sft/` | Direct Agent-SFT target model (A1), not a Harness Engineer |
## Loading
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "ShaoShuai0605/Harness-R1"
subfolder = "harness-r1" # Or cold-start-sft / agent-sft-harness-r1 / target-agent-sft
tokenizer = AutoTokenizer.from_pretrained(
repo,
subfolder=subfolder,
trust_remote_code=True,
)
model = AutoModelForCausalLM.from_pretrained(
repo,
subfolder=subfolder,
trust_remote_code=True,
)
```
See the README inside each directory for its intended role.
|