le-harnais / ft-agentworld-8b

• Base model: 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

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.