* mtmd : merge `llava-cli` and `gemma3-cli` into single `mtmd-cli`
* support for minicpmv
* remove cpp files of llava and minicpmv
* update hot topics
* mtmd : add not supported msg for qwen2vl
* Update examples/llava/mtmd.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This restores the behavior from #491. This does not affect Ctrl+D's ability to
terminate --multiline-input lines (#1040).
This also actually implements #587: "If the user wants the text to end in a
newline, this should be accomplished by explicitly adding a newline by using
\ followed by return, then returning control by pressing return again."
Fixes#12949
* server : use std::move whenever possible
* use r-value ref
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* make task creation scoped
* restore std::move
* fix task_id not set correctly
* apply changes from suggestion
Co-authored-by: ggerganov <ggerganov@gmail.com>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* mtmd : add more api around mtmd_image_tokens
* mtmd : ability to calc image hash
* shared_ptr for mtmd_image_tokens
* move hash to user-define ID (fixed)
* fix prompt_modified
* rm redundant data member
Add RPC_CMD_HELLO for getting the version of the protocol implemend by
the server. Follow the semantic versioning rules at https://semver.org
Hopefully this bring better user experience when we make breaking
changes at the protocol level and avoid issues like #12465
* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Minor refactoring as per the contributors' coding guidelines
* Update descriptions to match existing style
* Add llama_model_quantize_params parameters
* Add new quantize parameters parsing and validation
* Update usage
* Add new parameters defaults
* Add new quantization parameters logic
* Minor refactoring as per the contributors' guidelines
* Implement general --tensor-type instead of tensor-specific command option
* Fix implied type bug
* Restore missing #includes
* Add regex capability for tensor selection
* Refactor function name and update ALLOWED_TENSOR_TYPE
* Add missing #include
* Handle edge case when tensor name is cls.output
* Minor logging improvement
* ggml : FA supports F32 V
* graph : cast KV to F16 when the KV cache is not used
ggml-ci
* server : add test that exercises embeddings with FA enabled
ggml-ci
* Update ChatScreen.tsx
* useAutosizeTextarea.ts
useAutosizeTextarea to encapsulate the logic.
* Implement responsive auto-sizing chat textarea
Replaces the manual textarea resizing with an automatic height adjustment based on content.
- `useChatTextarea` hook to manage textarea state and auto-sizing logic via refs, preserving the optimization
- Textarea now grows vertically up to a maximum height (`lg:max-h-48`) on large screens (lg breakpoint and up).
- Disables auto-sizing and enables manual vertical resizing (`resize-vertical`) on smaller screens for better mobile usability.
- Aligns the "Send" button to the bottom of the textarea (`items-end`) for consistent positioning during resize.
* -update compressed index.html.gz after npm run build
-refactor: replace OptimizedTextareaValue with AutosizeTextareaApi in VSCode context hook
* chore: normalize line endings to LF
refactor: AutosizeTextareaApi -> chatTextareaApi
* refactor: Rename interface to PascalCase
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* Upgrade daisyui, tailwindcss.
* Switch to all themes.
* Revert a change.
* Update formatting.
* Install packages before npm build.
* Revert "Install packages before npm build."
This reverts commit 336c5147e6.
* Add index.html.gz
* run build
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Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* (wip) refactor downloading system [no ci]
* fix all examples
* fix mmproj with -hf
* gemma3: update readme
* only handle mmproj in llava example
* fix multi-shard download
* windows: fix problem with std::min and std::max
* fix 2
* tts.cpp : llama tokens console output is done using LOG_INF instead of printf(). Therefore the options '--log-disable' and '--log-file' have now uniform impact on all output.
* Include speculative decoding stats when timings_per_token is true
New fields added to the `timings` object:
- draft_n : number of draft tokens generated
- draft_accepted_n : number of draft tokens accepted
- draft_accept_ratio: ratio of accepted/generated
* Remove redundant draft_accept_ratio var
* add draft acceptance rate to server console output
* rpc : send hash when tensor data is above some fixed threshold
ref #10095
* rpc : put cache under $HOME/.cache/llama.cpp
* try to fix win32 build
* another try to fix win32 build
* remove llama as dependency
* [Fix] Compiling clip-quantize-cli and running it in a CUDA environment will cause ggml_fp16_to_fp32 to report an error when trying to access video memory. You need to switch to the CPU backend to run quantize.
After the fix, it will automatically run in the CPU backend and will no longer be bound to CUDA.
* [Fix]Roll back the signature and implementation of clip_model_load, and change the call in clip_model_quantize to clip_init.
Add verbose output to server_task_result_cmpl_final::to_json_oaicompat_chat_stream, making it conform with server_task_result_cmpl_final::to_json_oaicompat_chat, as well as the other to_json methods.
* webui: Make textarea uncontrolled to eliminate devastating lag
* Update index.html.gz
* use signal-style implementation
* rm console log
* no duplicated savedInitValue set
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Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
