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Model: renaudb1999/le-harnais-ft-agentworld-3b Source: Original Platform
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README.md
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README.md
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---
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license: llama3.2
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base_model: meta-llama/Llama-3.2-3B-Instruct
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library_name: transformers
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tags: [le-harnais, hero]
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---
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# le-harnais / ft-agentworld-3b
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World-model student (balanced quality/speed).
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- **Base model:** [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) — **Built with Llama**; Llama Community License applies.
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- **Class:** `hero`
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- **Training data:** datasets/agentworld_distill_train.jsonl (160 ex; teacher=Qwen-AgentWorld-35B-A3B)
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- **Headline:** token-F1 0.868 / OBSERVATION hit-rate 75% vs teacher (n=40)
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## Reproduce
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```sh
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BASE=meta-llama/Llama-3.2-3B-Instruct OUT=refs/llm-jepa/ft-agentworld-3b tools/distill_agentworld.sh
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```
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Full recipe, datasets, and eval commands: see `docs/REPRODUCE.md` in the
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[le-harnais distribution]. Provenance & license: `docs/PROVENANCE.md`.
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## Formats in this repo
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- `*.safetensors` — bf16 inference weights (serve with `transformers` or le-harnais `lh-serve`/candle).
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- `*.Q4_K_M.gguf` — portable 4-bit quant (run via `ollama` / `llama.cpp`; Mac-friendly).
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- `*.Q8_0.gguf` — higher-fidelity 8-bit quant (hero models).
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> Orchestration amplifies a capable generator; it does not create competence.
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