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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3.6-27B
+library_name: transformers
+language:
+  - en
+  - zh
+tags:
+  - agents
+  - agentic-systems
+  - harness-generation
+  - tool-use
+  - code-generation
+  - jit-agent
+---
+
+# JIT-Agent-27B
+
+**JIT-Agent-27B** is a harness intelligence model for synthesizing executable,
+task-conditioned agent harnesses. Given a task, an available tool registry, a
+shared runtime protocol, and natural-language descriptions of reference
+harnesses, the model generates a complete operational scaffold tailored to the
+task at hand.
+
+Instead of directly solving the task, JIT-Agent writes the system through which
+another foundation model acts: how it maintains memory, forms and updates plans,
+executes actions, and orchestrates tools and skills.
+
+## Checkpoint Overview
+
+This repository contains the initial research release of JIT-Agent-27B. The
+checkpoint builds on the Stage-I harness-customization model and is further
+trained through distillation from the final research checkpoint.
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| Base model | [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B) |
+| Parameters | 27.36B |
+| Weight precision | BF16 |
+| Architecture context length | 262,144 tokens |
+| Recommended serving context | 163,840 tokens |
+| Primary input | Task, tools, protocol, and reference-harness descriptions |
+| Primary output | Four Python modules and one YAML prompt configuration |
+
+JIT-Agent generates harnesses under a fixed four-module protocol:
+
+- `memory.py`: constructs and updates the agent's working context;
+- `planning.py`: forms directives and manages plan state;
+- `action.py`: implements the task-execution loop;
+- `tool_policy.py`: controls tool and skill exposure;
+- `prompt.yaml`: defines the prompts consumed by the generated modules.
+
+The model emits these files using the following tagged format:
+
+```text
+<<<PYTHON_MEMORY>>>
+...
+<<<END_PYTHON_MEMORY>>>
+
+<<<PYTHON_PLANNING>>>
+...
+<<<END_PYTHON_PLANNING>>>
+
+<<<PYTHON_ACTION>>>
+...
+<<<END_PYTHON_ACTION>>>
+
+<<<PYTHON_TOOL_POLICY>>>
+...
+<<<END_PYTHON_TOOL_POLICY>>>
+
+<<<YAML>>>
+...
+<<<END_YAML>>>
+```
+
+## Recommended Usage
+
+The checkpoint is designed to be used with the
+[JIT-Agent runtime](https://github.com/bingreeky/JIT), which constructs the full
+generation prompt, validates the structured output, installs the resulting
+harness, and executes it against an off-the-shelf agentic model.
+
+### 1. Set up the runtime
+
+```bash
+git clone https://github.com/bingreeky/JIT.git
+cd JIT
+
+conda env create -f environment.yml
+conda activate jit
+```
+
+### 2. Serve the checkpoint
+
+The repository provides a vLLM launcher with the recommended serving settings:
+
+```bash
+MODEL=JIT-Agent/jit-27b \
+TP=4 \
+bash scripts/serve_meta_model.sh
+```
+
+This exposes an OpenAI-compatible endpoint at `http://localhost:8000/v1`.
+
+### 3. Generate and execute a task-conditioned harness
+
+```bash
+python -m scripts.run_jit \
+    --bench xbench \
+    --meta-model jit \
+    --meta-base http://localhost:8000/v1 \
+    --harness-refs desc \
+    --max-samples 5
+```
+
+The released checkpoint should be used with description references:
+
+```text
+--harness-refs desc
+```
+
+In this mode, the model receives natural-language design descriptions of the
+reference harnesses rather than their source code. This is also the default mode
+of the released runtime.
+
+For best-of-N inference, the runtime generates three candidate harnesses at
+temperature 1.0 and selects one before task execution.
+
+## Intended Use
+
+JIT-Agent-27B is intended for research on:
+
+- task-adaptive agent architecture generation;
+- model–harness co-design;
+- modular agent runtimes;
+- memory, planning, action, and tool-policy composition;
+- best-of-N harness synthesis;
+- harness transfer across executor models and task domains.
+
+It is a harness generator rather than a general-purpose chat model. Direct
+chat-style prompting without the accompanying protocol and runtime context is
+unlikely to produce valid executable harnesses.
+
+## License
+
+The checkpoint is released under the Apache License 2.0. It is derived from
+[`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B), which is also
+released under Apache 2.0.