* feat: Adjust RAM/VRAM calculation for unified memory systems
This commit refactors the logic for calculating **total RAM** and **total VRAM** in `is_model_supported` and `plan_model_load` commands, specifically targeting systems with **unified memory** (like modern macOS devices where the GPU list may be empty).
The changes are as follows:
* **Total RAM Calculation:** If no GPUs are detected (`sys_info.gpus.is_empty()` is true), **total RAM** is now set to $0$. This avoids confusing total system memory with dedicated GPU memory when planning model placement.
* **Total VRAM Calculation:** If no GPUs are detected, **total VRAM** is still calculated as the system's **total memory (RAM)**, as this shared memory acts as VRAM on unified memory architectures.
This adjustment improves the accuracy of memory availability checks and model planning on unified memory systems.
* fix: total usable memory in case there is no system vram reported
* chore: temporarily change to self-hosted runner mac
* ci: revert back to github hosted runner macos
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Co-authored-by: Louis <louis@jan.ai>
Co-authored-by: Minh141120 <minh.itptit@gmail.com>
- Create comprehensive AI for Teachers blog post
- Add hero image and assistant creation interface images
- Include video demonstration of Jan for teachers
- Add proper ogImage and twitter image references
- Cover lesson planning, grading, parent communication, and classroom resources
- Focus on privacy and offline AI for educational use
- Add hero image for AI for Law blog post
- Add images to assistant creation and contract review sections
- Improve content structure and readability
- Add proper image assets for legal AI use cases
- Update ogImage and twitter image references
The KV cache size calculation in estimate_kv_cache_internal now includes a fallback mechanism for models that do not explicitly define key_length and value_length in the GGUF metadata.
If these attention keys are missing, the head dimension (and thus key/value length) is calculated using the formula embedding_length / total_heads. This improves robustness and compatibility with GGUF models that don't have the proper keys in metadata.
Also adds logging of the full model metadata for easier debugging of the estimation process.
- Add 'guides' category to staticCategories array in Blog component
- Update plopfile.js to include guides in category choices
- Add guides category entry to _meta.json
- Position guides category after research in navigation
