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* imatrix: 1st version
* imatrix: WIP
* Cleanup
* Update examples/imatrix/imatrix.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Restore intended k-quants quantization mixes for MoE models
* Update Q2_K_S values in the quantize tool
Still using LLaMA-v1 PPL values in the quant description
today does not make much sense. But let's leave this update
for another PR.
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Implement credentialed CORS according to MDN
* Fix syntax error
* Move validate_api_key up so it is defined before its first usage
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* server: added support for multiple api keys, added loading api keys from file
* minor: fix whitespace
* added file error handling to --api-key-file, changed code to better
reflect current style
* server: update README.md for --api-key-file
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Co-authored-by: Michael Coppola <info@michaeljcoppola.com>
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* added /health endpoint to the server
* added comments on the additional /health endpoint
* Better handling of server state
When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.
* initialized server_state
* fixed a typo
* starting http server before initializing the model
* Update server.cpp
* Update server.cpp
* fixes
* fixes
* fixes
* made ServerState atomic and turned two-line spaces into one-line
* updated `server` readme to document the `/health` endpoint too
* used LOG_INFO after successful model loading
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* Token count changes
* Add show token count
* Updating before PR
* Two requested changes
* Move param def posn
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* added /health endpoint to the server
* added comments on the additional /health endpoint
* Better handling of server state
When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.
* initialized server_state
* fixed a typo
* starting http server before initializing the model
* Update server.cpp
* Update server.cpp
* fixes
* fixes
* fixes
* made ServerState atomic and turned two-line spaces into one-line
* updated `server` readme to document the `/health` endpoint too
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* added /health endpoint to the server
* added comments on the additional /health endpoint
* Better handling of server state
When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.
* initialized server_state
* fixed a typo
* starting http server before initializing the model
* Update server.cpp
* Update server.cpp
* fixes
* fixes
* fixes
* made ServerState atomic and turned two-line spaces into one-line
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Uses ggml functions instead of hardcoded names and adds support to quantize into the modern Q-K variants.
This is just the bare minimum to get k-types working - a more refined choice of types would be needed to get best quality on low quantizations.
I ran a few tests, it doesn't break anything I could notice and a Q6_K ViT works almost as well as Q8_0 but 3 times the inference speed.
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This change fixes an issue where supplying `--image missing-file` would
result in a segfault due to a null pointer being dereferenced. This can
result in distracting info being printed if robust crash analysis tools
are being used.
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* updated server readme to reflect the gg/server-token-probs-4088 commit
added explanation for the API's completion result which now includes `completion_probabilities`. Also added a JSON schema that shows the type/structure of `completion_probabilities`.
* simplified the `completion_probabilities` JSON schema
It's now easier to understand what the structure of `completion_probabilities` looks like.
* minor : fix trailing whitespace
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Document the api-key flag added to server in https://github.com/ggerganov/llama.cpp/pull/4441
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* examples : add passkey test
* passkey : better prints
* passkey : select pass key pos from CLI
* passkey : simplify n_past logic
* llama : "self-extend"-like context extension
* passkey : add comment
* main : add Self-Extend support
* llama : add comment about llama_kv_cache_seq_div
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* examples : add passkey test
* passkey : better prints
* passkey : select pass key pos from CLI
* passkey : simplify n_past logic
* make : add passkey target
* passkey : add "self-extend"-like context extension (#4810)
* llama : "self-extend"-like context extension
* passkey : add comment
* passkey : add readme
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ggml-ci
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This commit removes unused includes from finetune.cpp.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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* swiftui: support load model from file picker
* swiftui: remove trailing whitespace
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* fix examples/server/README.md
* minor : fix whitespace
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* metal: fix metal backend init failure in swiftui
* metal: build ggml.metallib instead of copy src
* llama.swift : remove debug flags from metallib build
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* server: add token counts to stats
* server: generate hpp
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Co-authored-by: phiharri <ph@got-root.co.uk>
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* Changes to server to allow metadata override
* documentation
* flake.nix: expose full scope in legacyPackages
* flake.nix: rocm not yet supported on aarch64, so hide the output
* flake.nix: expose checks
* workflows: nix-ci: init; build flake outputs
* workflows: nix-ci: add a job for eval
* workflows: weekly `nix flake update`
* workflows: nix-flakestry: drop tag filters
...and add a job for flakehub.com
* workflows: nix-ci: add a qemu job for jetsons
* flake.nix: suggest the binary caches
* flake.lock: update
to a commit recently cached by nixpkgs-cuda-ci
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Co-authored-by: John <john@jLap.lan>
Co-authored-by: Someone Serge <sergei.kozlukov@aalto.fi>
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Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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* clip : refactor + bug fixes
ggml-ci
* server : add log message
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* clip: enable CUDA backend
* add missing kernels
* add enough padding for alignment
* remove ggml_repeat of clip.cpp
* add metal backend
* llava : fixes
- avoid ggml_repeat
- use GGML_USE_ instead of CLIP_USE_ macros
- remove unused vars
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* fix "ld: warning: ignoring duplicate libraries: '../libllama.a'"
* fix warning in example.
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This change makes it possible to use flags like `--grammar` when using
the `llava-cli` program. The rest is just code cleanup deleting a long
standing TODO comment.
This change also ensures that logging information is emitted to stderr
which helps the `llava-cli` command be more friendly to shell scripts.
See Mozilla-Ocho/llamafile@1cd334f
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The server currently schedules tasks using a sleep(5ms) busy loop. This
adds unnecessary latency since most sleep implementations do a round up
to the system scheduling quantum (usually 10ms). Other libc sleep impls
spin for smaller time intervals which results in the server's busy loop
consuming all available cpu. Having the explicit notify() / wait() code
also helps aid in the readability of the server code.
See mozilla-Ocho/llamafile@711344b
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* Fix main-cmake-pkg compilation
* Use glob to load common files
* cmake : fix trailing whitespace
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* fix infinite loop
* slight UI simplification, clearer UX
* clearer UI text, add timings to completion log
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The default values for tfs_z and typical_p were being set to zero, which
caused the token candidates array to get shrunk down to one element thus
preventing any sampling. Note this only applies to OpenAI API compatible
HTTP server requests.
The solution is to use the default values that OpenAI documents, as well
as ensuring we use the llama.cpp defaults for the rest. I've tested this
change still ensures deterministic output by default. If a "temperature"
greater than 0 is explicitly passed, then output is unique each time. If
"seed" is specified in addition to "temperature" then the output becomes
deterministic once more.
See mozilla-Ocho/llamafile#117
See mozilla-Ocho/llamafile@9e4bf29
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This commit fixes the output formatting in the print_params function
which currently looks like this:
```console
print_params: n_vocab: 32000
print_params: n_ctx: 128
print_params: n_embd: 4096
print_params: n_ff: 11008
print_params: n_head: 32
print_params: n_head_kv: 32
print_params: n_layer: 32
print_params: norm_rms_eps : 0.000010
print_params: rope_freq_base : 10000.000000
print_params: rope_freq_scale : 1.000000
```
With this comit the output will look like this:
```console
print_params: n_vocab : 32000
print_params: n_ctx : 128
print_params: n_embd : 4096
print_params: n_ff : 11008
print_params: n_head : 32
print_params: n_head_kv : 32
print_params: n_layer : 32
print_params: norm_rms_eps : 0.000010
print_params: rope_freq_base : 10000.000000
print_params: rope_freq_scale : 1.000000
```
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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