初始化项目，由ModelHub XC社区提供模型

Model: renaudb1999/le-harnais-ft-agentworld-8b
Source: Original Platform

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README.md

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+---
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+library_name: transformers
+tags: [le-harnais, hero]
+---
+
+# le-harnais / ft-agentworld-8b
+
+World-model student; near-teacher local replacement.
+
+- **Base model:** [`meta-llama/Meta-Llama-3.1-8B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-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 0.958 / OBSERVATION hit-rate 95% vs teacher (n=40) — near teacher-quality at ~16GB
+
+## Reproduce
+
+```sh
+BASE=meta-llama/Meta-Llama-3.1-8B-Instruct OUT=refs/llm-jepa/ft-agentworld-8b 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.

chat_template.jinja

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+{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
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+    128009
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+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.2",
+  "use_cache": false,
+  "vocab_size": 128267
+}

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+  ],
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+  "transformers_version": "4.55.2"
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