Roland Tannous
c21cf2ffcf
Add GGUF tag for exported models in chat page selector
2026-02-25 19:01:47 +04:00
Roland Tannous
01082b84e5
Merge branch 'nightly' into feat/gguf-llama-cpp-inference
2026-02-25 16:06:03 +04:00
Roland Tannous
ef1cd3ac98
Use llama-server -hf mode, add GGUF variant selector, fix vision detection
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Replace Python-side GGUF download with llama-server's native -hf flag for
HuggingFace repos. Add frontend variant picker so users can choose
quantization (Q4_K_M, Q8_0, BF16, etc.) with file sizes. Fix vision
detection via mmproj files instead of hardcoding is_vision=False.
2026-02-24 19:03:06 +04:00
Roland Tannous
a40ebb1aab
Add GGUF model inference via llama-server backend
2026-02-24 17:40:05 +04:00
Roland Tannous
3f34996288
Merge branch 'nightly' into feature/canvas-lab
2026-02-24 10:08:13 +00:00
Roland Tannous
d38656139d
Merge pull request #241 from unslothai/feature/adding-exported-models-for-chat
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Adding exported model for chat
2026-02-24 13:55:45 +04:00
Manan17
4be677e45d
Adding exported model for chat
2026-02-24 01:17:09 +00:00
Leo Borcherding
cdeed53a97
fix: disable eval by default, set eval_steps to 0.0
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- Changed default eval_steps from 0.01 to 0.0 across backend and frontend
- Fixed UI to allow eval_steps=0 (removed min=0.001 constraint)
- Added conditional eval logic with helpful console messages
- Updated tooltip to explain how to disable evaluation
- Tested: confirmed eval disabled by default with eval_steps=0.0
2026-02-23 13:07:47 -06:00
Shine1i
3e17e2b0f6
refactor: enhance seed source handling with new source types and streamlined inspection flows
2026-02-23 18:46:02 +01:00
Shine1i
869ac64e18
feat: enhance dataset seed handling with inspection and UI improvements
2026-02-22 03:39:34 +01:00
Shine1i
d378e48c2a
feat: introduce execution tracking and analysis for recipe preview
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- Added `ExecutionsView` with execution history tracking, live updates, and detailed data analysis.
- Implemented IndexedDB support via Dexie to persist execution records locally.
- Enhanced backend preview logic to return execution analysis and artifacts.
- Updated studio header with view toggling between "Editor" and "Executions."
2026-02-20 11:34:25 +01:00
Wasim Yousef Said
6dd0e11439
Merge branch 'nightly' into feature/canvas-lab
2026-02-20 01:23:44 -08:00
Shine1i
972cde7971
feat: add schemas for local model discovery and listing
2026-02-17 21:53:42 +01:00
Shine1i
0be3e6f525
feat: integrate gradient norm tracking in training runtime and metrics
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- Enhanced chart logic to filter and visualize finite gradient norm values.
2026-02-17 18:26:59 +01:00
Manan17
c7b7ecab4f
Adding metadata for checkpoints
2026-02-16 23:46:17 +00:00
Wasim Yousef Said
7b8220598e
Merge pull request #124 from unslothai/feature/bug-fixes
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feat: support disabling top-k sampling with -1 and standardize normalization
2026-02-16 13:21:12 -08:00
Roland Tannous
ff0aec180a
Merge branch 'nightly' into feature/eval-split-auto-detection
2026-02-17 01:11:30 +04:00
Shine1i
0db7da96cc
feat: support disabling top-k sampling with -1 and standardize normalization logic
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- Updated top-k parameter range to accept -1 in models and frontend.
- Added utility to normalize top-k for backend compatibility.
2026-02-16 21:33:24 +01:00
Roland Tannous
fa0ca59215
feat: auto-detect model+dataset compatibility to select VLM vs LLM training path
2026-02-16 19:18:49 +00:00
Roland Tannous
5df3a0b250
feat: add eval_enabled flag and format-first-then-split for eval dataset
2026-02-16 14:13:55 +00:00
Roland Tannous
37452d56cf
feat: add eval split auto-detection, eval_steps hyperparam, and eval_loss chart integration
2026-02-16 13:38:54 +00:00
Roland Tannous
fd49c56481
feat: include training loss per checkpoint in /api/models/checkpoints response
2026-02-16 09:50:28 +00:00
Roland Tannous
f0298edeb8
refactor: move checkpoint scanning to utils/models and /checkpoints endpoint to models router
2026-02-16 09:32:11 +00:00
Roland Tannous
909955767b
feat: add min_p sampling parameter to /chat/completions generation pipeline
2026-02-16 06:33:17 +00:00
Manan17
19276ae60b
Fixing the get checkpoint api
2026-02-16 04:47:28 +00:00
Roland Tannous
d0964652af
feat: thread dataset subset/split params from API routes through to load_dataset calls
2026-02-16 03:56:22 +00:00
Shine1i
43c66da783
merge nightly
2026-02-15 14:52:07 +01:00
Shine1i
85653237ea
feat: add Data Recipe core functionality with job manager, API routes, and validation services
2026-02-15 13:43:46 +01:00
sshah229
9e50e167d9
added the inference fetching from model mappers
2026-02-15 02:48:53 -07:00
Roland Tannous
f453791916
Merge pull request #29 from unslothai/feature/export
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Added the export routes and pydantic models
2026-02-15 12:42:01 +04:00
Roland Tannous
f67ee58347
feat(inference): add use_adapter field for per-request adapter toggling in compare mode
2026-02-14 14:52:13 +00:00
Roland Tannous
9de38cb773
feat(inference): accept OpenAI multimodal content parts (image_url) in /chat/completions
2026-02-14 09:06:25 +00:00
Roland Tannous
67edebfeb3
feat: wire custom_format_mapping through training pipeline to format_and_template_dataset
2026-02-13 21:07:36 +00:00
Roland Tannous
adf1ef5ea5
fix: auto-detect multimodal datasets in /check-format without requiring is_vlm flag
2026-02-13 17:29:39 +00:00
Roland Tannous
75f775d088
fix: change epoch type from int to float to match TrainerState
2026-02-13 06:51:55 +00:00
Roland Tannous
8403190cdd
feat: add OpenAI-compatible POST /chat/completions endpoint with streaming and non-streaming support
2026-02-12 19:00:05 +00:00
Roland Tannous
509659ba97
feat: add SSE reconnection resilience with spec-compliant event fields, Last-Event-ID resume, and metric_history fallback in /status
2026-02-12 17:58:48 +00:00
Roland Tannous
4c791bd5aa
feat(datasets): check-format to return preview samples
2026-02-12 11:25:47 +00:00
sshah229
40bfe42974
added the pydantic models and routes for export
2026-02-11 18:34:12 -07:00
Roland Tannous
7ee4381936
move inline pydantic models - fix existing models routes integration
2026-02-11 12:39:58 +00:00
Roland Tannous
01fcb4f713
authentication refactor - added setup token and token refresh mechanism
2026-02-11 12:09:47 +00:00
sshah229
0082627801
fixed the errors- renamed jwt to authentication, used raw jwt, and removed search route
2026-02-07 03:14:30 -07:00
sshah229
50ff5626f1
refactored the code for username/password and added pydantic models and routes for the same
2026-02-06 03:15:30 -07:00
sshah229
009e93f079
Refactored the training and model routes and added the jwt authentication
2026-02-06 03:15:30 -07:00
Roland Tannous
75bb6c08a5
Add datasets check-format endpoint
2026-02-03 20:42:25 +00:00
Roland Tannous
7bb0aeb756
add grad_norm and num_tokens to TrainingProgress response object
2026-02-03 10:35:58 +00:00
Roland Tannous
4fc9bbf0f1
update pydantic models for Models and Training routes
2026-02-02 20:00:04 +00:00
Roland Tannous
95fe3bed83
fix: restore models directory files deleted during restructure
2026-02-02 19:36:30 +00:00