- pos ai hf: Added info and files commands, include/exclude patterns, revision support, and better progress reporting
- pos ai server: Added detailed GPU config, memory controls, performance tuning, sampling parameters, and server configuration options
- All changes maintain backward compatibility and follow existing conventions
- Added parallel download support for multiple files (4 concurrent by default)
- Enhanced progress indicators with better feedback during downloads
- Refactored complex hf_gguf_quant_gate function for improved structure
- Improved error handling and messaging
- Maintained full backward compatibility
- All existing functionality preserved
The HF tree API returns entries shaped {oid,path,size,type} with no
rfilename field, so every downstream .rfilename read was null: the
--gguf filter crashed with 'jq: endswith() requires string inputs' and
single-file/all-files/meta modes silently built 'null' URLs. hf_repo_files
now normalizes tree entries to the {rfilename,size} shape the fallback
already emits (object-guarded; error-object bodies degrade to [] instead
of jq 5). The --gguf filter is type-guarded and empty results get
mode-aware messages. Verified: 12/12 fixture harness, live API 13->10
gguf, tiny real download OK, gates green. User confirmed the real
--gguf command now downloads [1/10].
Bash-native tool using curl/jq to download AI models from HF Hub.
Subcommands: download (single file/repo/gguf filter), search, list, remove.
Auth via HF_TOKEN in ai.env, resume support, disk space pre-flight,
rate limit handling, .hf-meta metadata tracking.
46 test cases / 0 failed. make gen/check/lint 0 FAIL / 0 WARN.
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