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Model: Yano/exp-0223-027-realobs-llmagent-qwen2.5-7b
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+datasets:
+- Yano/exp-0223-027-realobs-llmagent-alfworld-data
+language:
+- en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qlora
+- lora
+- merged
+- alfworld
+- agent
+- realobs-llmagent
+---
+
+# exp-0223-027-realobs-llmagent-qwen2.5-7b
+
+Fine-tuned from **Qwen/Qwen2.5-7B-Instruct** using **QLoRA (4-bit, Unsloth)**.
+
+## Purpose
+
+ALFWorld SFT combining real environment observations from experiment 016
+with LLM-renarrated agent responses (strategic THOUGHTs + ACTION-dominant format).
+
+## Key Design
+- Environment responses (user): Real data from 016 (byte-exact preservation)
+- Agent responses (assistant): LLM-renarrated (strategic THOUGHT, not template)
+- Format: First turn THOUGHT+ACTION, subsequent ACTION-only, recovery THOUGHT after failures
+- Failure patterns: Naturally inherited from 016's 72% failure-containing trajectories
+
+## Training Configuration
+
+- Base model: Qwen/Qwen2.5-7B-Instruct
+- Method: QLoRA (4-bit), merged to 16-bit
+- Max sequence length: 2048
+- Epochs: 3
+- Learning rate: 2e-05
+- LoRA: r=64, alpha=128
+- Collator: AllAssistantTurnsCollator (all turns supervised)