ALIA-40B Instruct (2601)

The 32K context window is adequate for document-grounded answer generation and the instruct model can follow retrieval prompts; retrieval or factuality benchmarks are absent.

A 40B instruct model can perform prompted text classification across languages, but the profile contains no task-specific classification evidence.

The 40B instruct model can assist with code generation, but the profile provides no code benchmark or coding-specific capability claim.

Instruction tuning and 40B scale support explaining code in context, with 32K context for moderately large files or snippets.

The instruct variant and tool-calling capability fit conversational support workflows, while the 32K context supports multi-turn case history.

A 32K context supports question answering over moderately sized documents, with a 40B instruct model providing adequate generation capacity.

No reranking, embedding, or retrieval benchmark is documented; using this 40B generative model for reranking would be inefficient relative to specialized alternatives.

The profile documents a generative instruct model but no embedding or retrieval specialization, so it is materially less suitable than dedicated semantic-search models.