---
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
library_name: transformers
tags: [le-harnais, hero]
---

# le-harnais / ft-agentworld-1b

World-model student distilled from Qwen-AgentWorld-35B; Mac-runnable tool-outcome predictor.

- **Base model:** [`meta-llama/Llama-3.2-1B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) — **Built with Llama**; Llama Community License applies.
- **Class:** `hero`
- **Training data:** datasets/agentworld_distill_train.jsonl (160 ex; teacher=Qwen-AgentWorld-35B-A3B)
- **Headline:** token-F1 0.826 / OBSERVATION hit-rate 60% vs teacher (n=40)

## Reproduce

```sh
BASE=meta-llama/Llama-3.2-1B-Instruct OUT=refs/llm-jepa/ft-agentworld-1b tools/distill_agentworld.sh
```

Full recipe, datasets, and eval commands: see `docs/REPRODUCE.md` in the
[le-harnais distribution]. Provenance & license: `docs/PROVENANCE.md`.

## Formats in this repo
- `*.safetensors` — bf16 inference weights (serve with `transformers` or le-harnais `lh-serve`/candle).
- `*.Q4_K_M.gguf` — portable 4-bit quant (run via `ollama` / `llama.cpp`; Mac-friendly).
- `*.Q8_0.gguf` — higher-fidelity 8-bit quant (hero models).

> Orchestration amplifies a capable generator; it does not create competence.