tianzl66/Llama-3.1-8B-Instruct-CommonSense170K-LoRA-Epoch2

Llama-3.1-8B-Instruct + Commonsense170K — LoRA (Epoch 2)

LoRA adapter for Llama-3.1-8B-Instruct fine-tuned on Commonsense170K.

Adapter

• —Dataset: Commonsense170K
• —Training epochs: 2
• —LoRA rank: 16
• —LoRA alpha: 32
• —Target modules: qproj, kproj, vproj, oproj, gateproj, upproj, down_proj

Evaluation

Evaluation uses the Llama-3.1-Instruct tokenizer chat template, greedy decoding, max_new_tokens=8, the vLLM backend, max model length 2048, and seed 42.

Files

• —adapter_model.safetensors: PEFT LoRA weights
• —adapter_config.json: PEFT configuration
• —eval-commonsense8/summary.json: eight-task aggregate metrics
• —eval-commonsense8/summary.csv: compact task metrics