---
license: apache-2.0
language:
- en
- zh
- de
- ru
base_model:
- meta-llama/Llama-3.1-8B
tags:
- translation,
- reasoning,
- test-time,
---
Reward model for Plan2Align(arxiv link: https://arxiv.org/abs/2502.20795), using for translation task on zh->en, zh->de, zh->ru language pairs.

## Using Reward Model

```python
RM = AutoModelForCausalLMWithValueHead.from_pretrained('ray24724919/plan2align_rm',torch_dtype=torch_dtype)
RM.eval()
RM.gradient_checkpointing_enable() #if need
        
value_head_weights = load_file("path-to-valuehead-safetensors")
new_state_dict = {key.replace("v_head.", "") if key.startswith("v_head.") else key: value for key, value in value_head_weights.items()}
RM.v_head.load_state_dict(new_state_dict)
```

## System prompt of translation reward modeling

```python
messages = [{"role": "system", "content": "You are a helpful translator and only output the result."},
            {"role": "user", "content": f"### Translate this from Chinese to {language}, Chinese:\n{source}\n### {language}:"},
            {"role": "assistant", "content": translation}]
```