* feat: Rename 'Whisper' model type to 'STT' in UI
- Updated models.html: Changed 'Whisper' filter button to 'STT'
- Updated talk.html: Changed 'Whisper Model' to 'STT Model'
- Updated backends.html: Changed 'Whisper' to 'STT'
- Updated talk.js: Renamed getWhisperModel() to getSTTModel(),
sendAudioToWhisper() to sendAudioToSTT(), and whisperModelSelect to sttModelSelect
This change makes the UI more consistent with the model category naming,
where all speech-to-text models (including Whisper, Parakeet, Moonshine,
WhisperX, etc.) are grouped under the 'STT' (Speech-to-Text) category.
Fixes#8776
Signed-off-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
* Rename whisperModelSelect to sttModelSelect in talk.html
As requested by maintainer mudler in PR review, replacing all
whisperModelSelect occurrences with sttModelSelect since the
model type was renamed from Whisper to STT.
Signed-off-by: LocalAI [bot] <localai-bot@users.noreply.github.com>
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Signed-off-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
Signed-off-by: LocalAI [bot] <localai-bot@users.noreply.github.com>
Co-authored-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
Co-authored-by: LocalAI [bot] <localai-bot@users.noreply.github.com>
fix: Add vllm-omni backend to video generation model detection
- Include vllm-omni in the list of backends that support FLAG_VIDEO
- This allows models like vllm-omni-wan2.2-t2v to appear in the video model selector UI
- Fixes issue #8659 where video generation models using vllm-omni backend were not showing in the dropdown
Co-authored-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
* docs: add autonomous development team section to README
- Add blog post link to Media, Blogs, Social section
- Add new section about autonomous AI agent maintenance team
- Include links to reports.localai.io and project board
- Reference the experiment blog post
* Apply suggestion from @mudler
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* Add support for multiple voice clones in Qwen TTS
Signed-off-by: Andres Smith <andressmithdev@pm.me>
* Add voice prompt caching and generation logs to see generation time
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Signed-off-by: Andres Smith <andressmithdev@pm.me>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
fix: return full embedding dimensions instead of truncating trailing zeros
- Remove the logic that strips trailing zeros from embeddings
- Trailing zeros may be valid values in some embedding models
- This fixes the issue where embeddings like jina-v3 returned
only 1/4 of their native dimensions (256 instead of 1024)
- The truncation was causing vector database dimension mismatch errors
- Fixes issue #8721
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
* fix: Add VRAM cleanup when stopping models
- Add Free() method to AIModel interface for proper GPU resource cleanup
- Implement Free() in llama backend to release llama.cpp model resources
- Add Free() stub implementations in base and SingleThread backends
- Modify deleteProcess() to call Free() before stopping the process
to ensure VRAM is properly released when models are unloaded
Fixes issue where VRAM was not freed when stopping models, which
could lead to memory exhaustion when running multiple models
sequentially.
* feat: Add Free RPC to backend.proto for VRAM cleanup\n\n- Add rpc Free(HealthMessage) returns (Result) {} to backend.proto\n- This RPC is required to properly expose the Free() method\n through the gRPC interface for VRAM resource cleanup\n\nRefs: PR #8739
* Apply suggestion from @mudler
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
When a model is configured with 'known_usecases: [rerank]' in the YAML
config, the reranking endpoint was not being matched because:
1. The GuessUsecases function only checked for backend == 'rerankers'
2. The syncKnownUsecasesFromString() was not being called when loading
configs via yaml.Unmarshal in readModelConfigsFromFile
This fix:
1. Updates GuessUsecases to also check if Reranking is explicitly set to
true in the model config (in addition to checking backend type)
2. Adds syncKnownUsecasesFromString() calls after yaml.Unmarshal in
readModelConfigsFromFile to ensure known_usecases are properly parsed
Fixes#8658
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
- Add trailing newline to all requirements*.txt files in qwen-tts backend
- This ensures proper file formatting and prevents potential issues with
package installation tools that expect newline-terminated files
fix: Implement responsive line wrapping for model names on home page
- Changed model name display from truncate to break-words
- Increased max-width from 100px to 200px to allow more text
- This fixes issue #8209 for responsive text wrapping on smaller screens
Fixes: #8209
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
Adding debug logging to help investigate the pocket-tts custom voice
finding issue (Issue #8244). This is a first step to understand how
voices are being loaded and where the failure occurs.
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
* debug
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* retry instead of re-computing a response
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Add model storage size display and RAM warning in Models tab
- Backend (ui_api.go):
- Added getDirectorySize() helper function to calculate total size of model files
- Added storageSize, ramTotal, ramUsed, ramUsagePercent to /api/models endpoint response
- Uses xsysinfo.GetSystemRAMInfo() for RAM information
- Frontend (models.html):
- Added storageSize, ramTotal, ramUsed, ramUsagePercent to Alpine.js data object
- Added formatBytes() helper for human-readable byte formatting
- Display storage size in hero header with blue indicator
- Show warning banner when storage exceeds RAM (model too large for system)
Addresses: https://github.com/mudler/LocalAI/issues/6251
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
fix(video): initialize model selection dropdown with current model value
The Alpine.js link variable was starting empty, causing the dropdown
selection to not reflect the currently selected model. This fix initializes
the link variable with the current model value from the template (e.g.,
video/{{.Model}}), following the same pattern used in image.html.
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
When a backend download fails (e.g., on Mac OS with port conflicts causing
connection issues), the backend directory is left with partial files.
This causes subsequent installation attempts to fail with 'run file not
found' because the sanity check runs on an empty/partial directory.
This fix cleans up the backend directory when the initial download fails
before attempting fallback URIs or mirrors. This ensures a clean state
for retry attempts.
Fixes: #8016
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
