* mikupad.html in ik_llama.cpp (functional but WIP)
* Remove hardcoded extension and add error handling to extension loading
* Update version number and add features array to version
* Make version endpoint always accessible
* Fix case with empty sql
* Add useful error message when launched without sql file
* Add sigma sampler
* Update sigma step and max based on docs
* Remove selectedSessionId and handle it with URL fragment
* Export All (code only, no UI)
* Add compression to server.cpp
* Major UI work (and also add update backend endpoints to accomadate)
* Finalize UI
* Fix visual bug
* fix merge conflict issue
* Pull in full sqlite_modern_cpp repo for the license as it is not attached to source files
* Make compression not show in sidebar if extension is not loaded
* Finalize build, Put support behing LLAMA_SERVER_SQLITE3: command not found build option, and update error message to include the build option is not passed situation
* Fix compile without flag on systems without it installed
* Add llama.cpp changes for dots1 support
* Add python changes for dots1 support
* Fix to make it convert
* Remove V reshaping, remove BOS by default for dots1 and fix warmup to handle models without BOS
* Minor fix
* Remove commented lines
* Convert existing News to new format
* Update with new ones
* Add more links and minor fix
* more minor fixes
* requested changes
* Add old PRs
* Add more old PRs
* Add all IQK quants
* Remove kv_l, kvt_l and just use k_l and v_l
* Hopefully take care of missing V cache (MLA)
* Fix save and restore when there is no V cache
* Fix double print
* Update write_kv_cache_data and read_kv_cache_data to be MLA aware
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
* lora : fix llama conversion script with ROPE_FREQS
* convert : refactor rope_freqs generation
This should also fix vocab-only conversion for Phi-3.
* convert : adapt MiniCPM3 to separate rope_freqs insertion
MiniCPM3's tokenizer is treated as a SentencePiece tokenizer to avoid
having to run its custom Python code which mixes tokenization
in the same file as tool calls.
gguf-py : add long and short RoPE factors to tensor mappings
Empty, but the key names are used to populate the mappings.
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Francis Couture-Harpin <git@compilade.net>
* conflict resolution
* Changes to make work and add longrope support
* Changes to n_attention_wv rule
* Untested support of 253B
* DeciLMCausalModel now reads rope_theta from config.json properly
* Remove errant Granite mentions
* Better n_attention_vw rule
* Update vocab.py
---------
Co-authored-by: Yee Man Chan <ymchan@gmail.com>
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
* examples : add new sweep-bench benchmark
* Change documentation to reference ik_llama.cpp
* Made it compile with ik_llama
* Fix JSONL output
---------
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
* Load all MoE experts during warmup
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
* Unify warmup to one token
---------
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
