---
license: other
library_name: transformers
pipeline_tag: text-generation
tags:
  - computer-use
  - tool-use
  - reinforcement-learning
---

# Computer-9a

Computer-9a is the step-60 policy from an online terminal reinforcement-learning experiment. It is a full-weight bfloat16 causal language model exported from the exact retained FSDP checkpoint used for evaluation.

The training environment presented a `bash` tool through textual `<tool name="bash">...</tool>` calls and returned textual `<tool_result name="bash">...</tool_result>` observations. The model was optimized on automatically verified terminal tasks while regularizing against a conversational parent policy.

## Prompt format

The experiment used an explicit transcript header and role markers:

```text
**User:** ...

**Model C:** ...

**Environment:** <tool_result name="bash">...</tool_result>
```

Tool execution is not built into the weights. Applications must parse tool calls, execute them in an appropriately isolated sandbox, append the tool result, and generate the next model turn.

## Safety and limitations

This is a research checkpoint. It can emit shell commands and should only be connected to a strongly isolated, least-privilege environment. It may make destructive requests, hallucinate command effects, contradict visible tool traces, or fail exact multi-stage tasks. Do not give it credentials, unrestricted network access, or access to valuable files.

The model often produces terse answers. Its terminal-task performance and fixed-probe performance are noisy, and this checkpoint should not be interpreted as a generally reliable computer-use agent.

## Checkpoint identity

- Training step: 60
- Export dtype: bfloat16
- Source checkpoint: `retained-checkpoint-60`
- Export format: sharded safetensors