* common: custom hf endpoint support
Add support for custom huggingface endpoints via HF_ENDPOINT environment variable
You can now specify a custom huggingface endpoint using the HF_ENDPOINT environment variable when using the --hf-repo flag, which works similarly to huggingface-cli's endpoint configuration.
Example usage:
HF_ENDPOINT=https://hf-mirror.com/ ./bin/llama-cli --hf-repo Qwen/Qwen1.5-0.5B-Chat-GGUF --hf-file qwen1_5-0_5b-chat-q2_k.gguf -p "The meaning to life and the universe is"
The trailing slash in the URL is optional:
HF_ENDPOINT=https://hf-mirror.com ./bin/llama-cli --hf-repo Qwen/Qwen1.5-0.5B-Chat-GGUF --hf-file qwen1_5-0_5b-chat-q2_k.gguf -p "The meaning to life and the universe is"
* Update common/arg.cpp
readability Improvement
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* Apply suggestions from code review
---------
Co-authored-by: ベアトリーチェ <148695646+MakiSonomura@users.noreply.github.com>
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* (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
* server : Bump cpp-httplib to include AF_UNIX windows support
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
* server : Allow running the server example on a unix socket
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
---------
Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
* added -o option to specify an output file name
* llama-tts returns ENOENT in case of file write error
note : PR #12042 is closed as superseded with this one.
As discussed in PR 'llama-tts : add -o option' (#12042):
* common_params : 'out_file' string is the only output file name parameter left in common_params. It's intended to be used in all example programs implementing an '-o' option.
* cvector-generator, export-lora, imatrix : default output filenames moved from 'common_params' to the 'main()' of each example program.
* Add chat template formatting to -no-cnv
* only enable prompt formatting if explicitly enabled
* add -st / --single-turn
* add --single-turn and -p in conversation mode
* fix -sys + -p
* reword warning
* small readability change and fix (long) outdated example usage
* only activate single turn in conversation mode
This commit adds a preset for llama.vim to use the default Qwen 2.5
Coder models.
The motivation for this change is to make it easier to start a server
suitable to be used with the llama.vim plugin. For example, the server
can be started with a command like the following:
```console
$ llama.vim --fim-qwen-1.5b-default
```
Refs: https://github.com/ggml-org/llama.cpp/issues/10932
This commit adds completion for `--chat-template-file`, enabling only
`.jinja` files to be displayed as completions.
Example usage:
```console
$ ./build/bin/llama-cli --chat-template-file models/templates/<TAB>
models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja
models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
models/templates/google-gemma-2-2b-it.jinja
models/templates/llama-cpp-deepseek-r1.jinja
models/templates/meetkai-functionary-medium-v3.1.jinja
models/templates/meetkai-functionary-medium-v3.2.jinja
models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja
models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja
models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja
models/templates/microsoft-Phi-3.5-mini-instruct.jinja
models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja
models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
models/templates/Qwen-Qwen2.5-7B-Instruct.jinja
```
This is not limited to the models/templates directory, it can be used
anywhere in the filesystem, the above is just an example.
This commit adds a new option `--completion-bash` to the llama.cpp which
outputs a source-able bash completion script.
The motivation for this change is to provide a more user-friendly
experience for users who use the command-line interface of llama.cpp.
This is currently only basic and all options are displayed for all llama
executables but this can be improved in the future if needed.
Example usage:
```console
$ build/bin/llama-cli --completion-bash > ~/.llama-completion.bash
$ source ~/.llama-completion.bash
$ ./build/bin/llama-server --m<TAB>
--main-gpu --mirostat --mirostat-lr --model --multiline-input
--min-p --mirostat-ent --mlock --model-url
```
* extract & return thoughts in reasoning_content field (unless --reasoning-format) for DeepSeek R1 & Command R7B
* tool-calls: add deepseek r1 template (models/templates/llama-cpp-deepseek-r1.jinja) + hackommodate broken official template
* tool-calls: accommodate variety of wrong tool call opening tags both R1 Qwen 32B and 7B distills like to spit out
* server/oai: ensure content is null when there are tool calls, and reasoning_content appears before content for readability
* tool-calls: add DeepSeek R1 Qwen distills to server/README.md & server tests
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* common : add default embeddings presets
This commit adds default embeddings presets for the following models:
- bge-small-en-v1.5
- e5-small-v2
- gte-small
These can be used with llama-embedding and llama-server.
For example, with llama-embedding:
```console
./build/bin/llama-embedding --embd-gte-small-default -p "Hello, how are you?"
```
And with llama-server:
```console
./build/bin/llama-server --embd-gte-small-default
```
And the embeddings endpoint can then be called with a POST request:
```console
curl --request POST \
--url http://localhost:8080/embeddings \
--header "Content-Type: application/json" \
--data '{"input": "Hello, how are you?"}'
```
I'm not sure if these are the most common embedding models but hopefully
this can be a good starting point for discussion and further
improvements.
Refs: https://github.com/ggerganov/llama.cpp/issues/10932
List devices in the same order as they appear when evaluating the model
and splitting tensors across devices, i.e. RPC devices come first in the
list.
ref #11435
This commit enables the `--no-warmup` option for the llama-embeddings.
The motivation for this change is to allow the user to disable the
warmup when running the the program.
* Added the ability to use guide tokens for OuteTTS, greatly improving TTS recitation accuracy over long input sequences.
* applied linting suggestions, updated to latest llama_vocab changes, added a safety check, added newline to guide token start
* cli : auto activate conversation mode if chat template is detected
* add warn on bad template
* update readme (writing with the help of chatgpt)
* update readme (2)
* do not activate -cnv for non-instruct models
* common : support tag-based hf_repo like on ollama
* fix build
* various fixes
* small fixes
* fix style
* fix windows build?
* move common_get_hf_file to common.cpp
* fix complain with noreturn
* sampling : refactor + optimize penalties sampler
ggml-ci
* common : apply ignore_eos as logit bias
ggml-ci
* batched : remove penalties sampler
* params : allow penalty_last_n == -1 to be equal to context size
ggml-ci
* common : by default, move the penalties at the end of the sampling chain
ggml-ci
* common : ignore all EOG tokens
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* common : move back the penalties at the front of the sampling chain
ggml-ci
* readme : restore hint about --ignore-eos flag [no ci]
* llama : minor
ggml-ci
* webui : update
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com>
* llama : add enum for supported chat templates
* use "built-in" instead of "supported"
* arg: print list of built-in templates
* fix test
* update server README
* llama : accept a list of devices to use to offload a model
* accept `--dev none` to completely disable offloading
* fix dev list with dl backends
* rename env parameter to LLAMA_ARG_DEVICE for consistency
