Manan17
168957a87a
Aggregating sharded models, showing fit/oom for quantizations
2026-02-27 08:23:15 +00:00
Roland Tannous
ef1cd3ac98
Use llama-server -hf mode, add GGUF variant selector, fix vision detection
...
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
Shine1i
0db7da96cc
feat: support disabling top-k sampling with -1 and standardize normalization logic
...
- 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
909955767b
feat: add min_p sampling parameter to /chat/completions generation pipeline
2026-02-16 06:33:17 +00:00
sshah229
9e50e167d9
added the inference fetching from model mappers
2026-02-15 02:48:53 -07:00
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
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
7ee4381936
move inline pydantic models - fix existing models routes integration
2026-02-11 12:39:58 +00:00
