pearl ai/Qwen3 30B A3B Instruct 2507 pearl Pearl certified variant of Qwen3 30B A3B Instruct, intended to run with the Pearl vLLM mining plugin. Project website: Pearl repository: Miner docs: Model Details Base model: Qwen/Qwen3 30B A3B Instruct 2507 (Mixture of Experts) Architecture: Qwen3MoeForCausalLM Total parameters: 30B (3B active per token, 8 experts routed per token) Hidden layers: 48 Quantization: Mixed precision (W7A7 + FP8) via Pearl quantization. Model type: Causal LLM (instruction tuned, MoE) Primary runtime target: Pearl vLLM plugin ( miner/vllm miner ) Intended use: Text generation with Pearl mining integration Evaluation MMLU Pro (full test split, 12,032 questions), generative 5 shot CoT, run with the Qwen3 30B A3B Instruct 2507 sampling recipe ( temperature=0.7, top p=0.8, top k=20, min p=0 ) via lm eval harness on vLLM. Model MMLU Pro Original 77.88% Pearl 77.33% Intended Use This model is intended to be served through the Pearl miner stack, where vLLM inference is integrated with Pearl mining workflows. Typical flow: 1. Run pearld with RPC enabled. 2. Start the Pearl miner/vLLM stack. 3. Serve this model through vLLM while Pearl gateway/miner components handle mi…
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