b11536: ui: Models Manager Follow-up Improvements (#30228)

Executive Summary

common : read a GGUF's trained context from its metadata common_get_gguf_n_ctx_train opens only the file's metadata (no_alloc, like common_get_decision_type) and reads .context_length, so a caller can learn the trained context without loading the model. It accepts both u32 and u64 values and returns 0 when the file is missing, unreadable, invalid, or reports no context length. Assisted-by: pi:zai-org/GLM-5.3-Flash server : report the trained context in the models listing update_caps already resolves the model file offline to read its modalities, so it now reads the trained context from the same GGUF metadata, and GET /models reports it as context_length when it is known.

Artificial Intelligence Architecture & Model Evaluation

From an artificial intelligence architecture, model weights governance, and inference efficiency perspective: - **Weights Accessibility & Sovereignty:** Evaluates whether weights are open for private self-hosting or locked behind centralized cloud APIs. - **Quantization & Edge Performance:** Kernel optimizations (4-bit/8-bit GGUF, AWQ, EXL2) allow high tokens-per-second on consumer GPUs and Apple Silicon. - **Reasoning & Architectural Scaling:** Scrutinizes mixture-of-experts (MoE), attention mechanisms, and fine-tuning datasets against open community benchmarks.

Impact on the Open Ecosystem

Protects developers and enterprises from proprietary black-box entrapment, fostering auditable, sovereign AI infrastructure.