IndustryLLM

Name: IndustryLLM
Author: Alibaba

AlibabaOpen WeightsPending Human Review

IndustryLLM is Alibaba’s open-weight language model for industrial procurement and engineering-standard reasoning. It adapts Qwen3.5-35B-A3B-Base through continued pre-training on industrial documents and transactions followed by task-focused supervised fine-tuning. The 35.95B-parameter hybrid mixture-of-experts network activates approximately 3B per token. Training targets informal buyer language, ambiguous product codes, contradictory specifications, and evidence-based constraint evaluation. Apache-licensed BF16 weights are published. Its 262K architectural context is distinct from 12,288-token packed fine-tuning sequences; this record uses the supported training length conservatively. The September 25 paper predates later discovery-index coverage.

2026-09-25

35.95B total, approximately 3B active

Hybrid-attention Mixture-of-Experts Transformer

Apache-2.0

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Specifications

Parameters: 35.95B total, approximately 3B active
Architecture: Hybrid-attention Mixture-of-Experts Transformer
License: Apache-2.0
Context Window: 12,288 tokens
Type: text
Modalities: text

Benchmark Scores

Advanced Specifications

Model Family: IndustryLLM
Finetuned From: Qwen3.5-35B-A3B-Base
API Access: Not Available
Chat Interface: Not Available

Capabilities & Limitations

Capabilities: industrial language understandingengineering reasoningprocurement query structuringstructured output
Known Limitations: Architectural 262K maximum is not equivalent to long-context domain validationVision components are frozen; reviewed industrial evaluations are textualProduct compliance decisions require authoritative standards and verified evidence
Notable Use Cases: B2B procurement assistantsengineering-standard interpretationproduct-constraint analysis

Resources

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Typetext

Parameters78B total, approximately 3.46B active

2026-10-03

Open Weights

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