Apply a loop tiling technique to the generic path, which provides
performance upside for ISAs with enough registers to take advantage
of it. Also helps the compiler optimize this path.
* Add support for float16 tensors in 1d pooling operations
* Add support for float16 input tensors in 2d pooling operations
* code cleanup
remove unnecessary casting during srow ptr initialization
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Co-authored-by: vanaka11 <vanaka1189@gmail.com>
This prevents invalid frees when destroying a partially initialized
vk_buffer_struct. For example, this could happen in ggml_vk_create_buffer
when running out of device memory.
Co-authored-by: Tony Wasserka <neobrain@users.noreply.github.com>
This commit removes an UNUSED macro call that is not needed as the
variable n0 is used in the code and will not produce a warning.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
* Add llama 3.1 rope scaling factors to llama conversion and inference
This commit generates the rope factors on conversion and adds them to the resulting model as a tensor. At inference time, these factors are passed to the `ggml_rope_ext` rope oepration, improving results for context windows above 8192
* Update convert_hf_to_gguf.py
Co-authored-by: compilade <git@compilade.net>
* address comments
* address comments
* Update src/llama.cpp
Co-authored-by: compilade <git@compilade.net>
* Update convert_hf_to_gguf.py
Co-authored-by: compilade <git@compilade.net>
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Co-authored-by: compilade <git@compilade.net>
This commit adds a --no-warmup option for llama-cli.
The motivation for this is that it can be convenient to skip the
warmup llama_decode call when debugging.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
`ggml_init` can fail if no unused context is found. In that case, a NULL-pointer deref will happen later in the code during a call to `ggml_set_on_alloc`.
This fixes it by bailing out if no context is found.
* Improvements for Windows with Snapdragon X
* Revert "Improvements for Windows with Snapdragon X"
This reverts commit bf21397ae5.
* Improvements for Windows with Snapdragon X
* WOA build clarifications
* WIndows on ARM build clarifications
* cmake build for Windows clarifications
* Update docs/build.md
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Co-authored-by: AndreasKunar <andreaskmsn.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
The check gating the use of `__builtin_amdgc_sdot4` specifically checks for gfx1030. This causes a severe perf regression for anything gfx103? that's not gfx1030 and not using `HSA_OVERRIDE_GFX_VERSION` (if you've built ROCm to support it). We already have a generic RDNA2 define, let's use it.
* Superflous parens in conditionals were removed.
* Unused args in function were removed.
* Replaced unused `idx` var with `_`
* Initializing file_format and format_version attributes
* Renaming constant to capitals
* Preventing redefinition of the `f` var
Signed-off-by: Jiri Podivin <jpodivin@redhat.com>
Changes:
- Move each example into its own function. This makes the code much
easier to read and understand.
- Make the program easy to only run one test by commenting out function
calls in main().
- Make the output easy to parse by indenting the output for each example.
- Add shebang and +x bit to make it clear it's an executable.
- Make the host configurable via --host with a default 127.0.0.1:8080.
- Make the code look in the tools list to call the registered tool,
instead of hardcoding the returned values. This makes the code more
copy-pastable.
- Add error checking, so that the program exits 1 if the LLM didn't
returned expected values. It's super useful to check for correctness.
Testing:
- Tested with Mistral-7B-Instruct-v0.3 in F16 and Q5_K_M and
Meta-Llama-3-8B-Instruct in F16 and Q5_K_M.
- I did not observe a failure even once in Mistral-7B-Instruct-v0.3.
- Llama-3 failed about a third of the time in example_concurrent: it
only returned one call instead of 3. Even for F16.
Potential follow ups:
- Do not fix the prompt encoding yet. Surprisingly it mostly works even
if the prompt encoding is not model optimized.
- Add chained answer and response.
Test only change.
* gguf-py : fix some metadata name extraction edge cases
* convert_lora : use the lora dir for the model card path
* gguf-py : more metadata edge cases fixes
Multiple finetune versions are now joined together,
and the removal of the basename annotation on trailing versions
is more robust.
* gguf-py : add more name metadata extraction tests
* convert_lora : fix default filename
The default filename was previously hardcoded.
* convert_hf : Model.fname_out can no longer be None
* gguf-py : do not use title case for naming convention
Some models use acronyms in lowercase,
which can't be title-cased like other words,
so it's best to simply use the same case
as in the original model name.
Note that the size label still has an uppercased suffix
to make it distinguishable from the context size of a finetune.
