Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| llama_add_compile_flags() | |
| function(llama_build source) | |
| set(TEST_SOURCES ${source} ${ARGN}) | |
| if (DEFINED LLAMA_TEST_NAME) | |
| set(TEST_TARGET ${LLAMA_TEST_NAME}) | |
| else() | |
| get_filename_component(TEST_TARGET ${source} NAME_WE) | |
| endif() | |
| add_executable(${TEST_TARGET} ${TEST_SOURCES}) | |
| target_link_libraries(${TEST_TARGET} PRIVATE llama llama-common) | |
| if (LLAMA_TESTS_INSTALL) | |
| install(TARGETS ${TEST_TARGET} RUNTIME) | |
| endif() | |
| endfunction() | |
| function(llama_test target) | |
| include(CMakeParseArguments) | |
| set(options) | |
| set(oneValueArgs NAME LABEL WORKING_DIRECTORY) | |
| set(multiValueArgs ARGS) | |
| cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN}) | |
| if (NOT DEFINED LLAMA_TEST_LABEL) | |
| set(LLAMA_TEST_LABEL "main") | |
| endif() | |
| if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY) | |
| set(LLAMA_TEST_WORKING_DIRECTORY .) | |
| endif() | |
| if (DEFINED LLAMA_TEST_NAME) | |
| set(TEST_NAME ${LLAMA_TEST_NAME}) | |
| else() | |
| set(TEST_NAME ${target}) | |
| endif() | |
| set(TEST_TARGET ${target}) | |
| add_test( | |
| NAME ${TEST_NAME} | |
| WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY} | |
| COMMAND $<TARGET_FILE:${TEST_TARGET}> | |
| ${LLAMA_TEST_ARGS}) | |
| set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL}) | |
| endfunction() | |
| function(llama_test_cmd target) | |
| include(CMakeParseArguments) | |
| set(options) | |
| set(oneValueArgs NAME LABEL WORKING_DIRECTORY) | |
| set(multiValueArgs ARGS) | |
| cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN}) | |
| if (NOT DEFINED LLAMA_TEST_LABEL) | |
| set(LLAMA_TEST_LABEL "main") | |
| endif() | |
| if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY) | |
| set(LLAMA_TEST_WORKING_DIRECTORY .) | |
| endif() | |
| if (DEFINED LLAMA_TEST_NAME) | |
| set(TEST_NAME ${LLAMA_TEST_NAME}) | |
| else() | |
| set(TEST_NAME ${target}) | |
| endif() | |
| add_test( | |
| NAME ${TEST_NAME} | |
| WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY} | |
| COMMAND ${target} | |
| ${LLAMA_TEST_ARGS}) | |
| set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL}) | |
| endfunction() | |
| # Builds and runs a test source file. | |
| # Optional args: | |
| # - NAME: name of the executable & test target (defaults to the source file name without extension) | |
| # - LABEL: label for the test (defaults to main) | |
| # - ARGS: arguments to pass to the test executable | |
| # - WORKING_DIRECTORY | |
| function(llama_build_and_test source) | |
| include(CMakeParseArguments) | |
| set(options) | |
| set(oneValueArgs NAME LABEL WORKING_DIRECTORY) | |
| set(multiValueArgs ARGS) | |
| cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN}) | |
| set(TEST_SOURCES ${source} ${LLAMA_TEST_UNPARSED_ARGUMENTS} get-model.cpp) | |
| if (NOT DEFINED LLAMA_TEST_LABEL) | |
| set(LLAMA_TEST_LABEL "main") | |
| endif() | |
| if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY) | |
| set(LLAMA_TEST_WORKING_DIRECTORY .) | |
| endif() | |
| if (DEFINED LLAMA_TEST_NAME) | |
| set(TEST_TARGET ${LLAMA_TEST_NAME}) | |
| else() | |
| get_filename_component(TEST_TARGET ${source} NAME_WE) | |
| endif() | |
| add_executable(${TEST_TARGET} ${TEST_SOURCES}) | |
| if (LLAMA_TESTS_INSTALL) | |
| install(TARGETS ${TEST_TARGET} RUNTIME) | |
| endif() | |
| target_link_libraries(${TEST_TARGET} PRIVATE llama-common) | |
| add_test( | |
| NAME ${TEST_TARGET} | |
| WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY} | |
| COMMAND $<TARGET_FILE:${TEST_TARGET}> | |
| ${LLAMA_TEST_ARGS}) | |
| set_property(TEST ${TEST_TARGET} PROPERTY LABELS ${LLAMA_TEST_LABEL}) | |
| endfunction() | |
| # build test-tokenizer-0 target once and add many tests | |
| llama_build(test-tokenizer-0.cpp) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-bert-bge ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-bert-bge.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-command-r ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-command-r.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-coder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-coder.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-llm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-llm.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-falcon ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-gemma-4 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gemma-4.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-gpt-2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-bpe ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-spm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-mpt ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-phi-3 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-phi-3.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-qwen2.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen35 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-qwen35.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf) | |
| llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf) | |
| if (NOT WIN32) | |
| llama_test_cmd( | |
| ${CMAKE_CURRENT_SOURCE_DIR}/test-tokenizers-repo.sh | |
| NAME test-tokenizers-ggml-vocabs | |
| WORKING_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY} | |
| ARGS https://huggingface.co/ggml-org/vocabs ${PROJECT_SOURCE_DIR}/models/ggml-vocabs | |
| ) | |
| endif() | |
| if (LLAMA_LLGUIDANCE) | |
| llama_build_and_test(test-grammar-llguidance.cpp ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf) | |
| endif () | |
| if (NOT WIN32 OR NOT BUILD_SHARED_LIBS) | |
| # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API (when building with shared libraries) | |
| llama_build_and_test(test-sampling.cpp) | |
| llama_build_and_test(test-reasoning-budget.cpp) | |
| llama_build_and_test(test-grammar-parser.cpp) | |
| llama_build_and_test(test-grammar-integration.cpp) | |
| llama_build_and_test(test-llama-grammar.cpp) | |
| llama_build_and_test(test-chat.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}) | |
| target_include_directories(test-chat PRIVATE ${PROJECT_SOURCE_DIR}/tools/server) | |
| target_link_libraries(test-chat PRIVATE server-context) | |
| # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8 | |
| if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64") | |
| llama_build_and_test(test-json-schema-to-grammar.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}) | |
| target_include_directories(test-json-schema-to-grammar PRIVATE ${PROJECT_SOURCE_DIR}/tools/server) | |
| endif() | |
| if (NOT GGML_BACKEND_DL) | |
| llama_build(test-quantize-stats.cpp) | |
| endif() | |
| llama_build(test-gbnf-validator.cpp) | |
| # build test-tokenizer-1-bpe target once and add many tests | |
| llama_build(test-tokenizer-1-bpe.cpp) | |
| # TODO: disabled due to slowness | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-aquila ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-aquila.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-falcon ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-neox ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-neox.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-llama-bpe ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf --ignore-merges) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-mpt ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-refact ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf) | |
| #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-starcoder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf) | |
| # build test-tokenizer-1-spm target once and add many tests | |
| llama_build(test-tokenizer-1-spm.cpp) | |
| llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-llama-spm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf) | |
| #llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-baichuan ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf) | |
| # llama_build_and_test(test-double-float.cpp) # SLOW | |
| llama_build_and_test(test-llama-archs.cpp) | |
| endif() | |
| llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp) | |
| llama_build_and_test(test-jinja.cpp) | |
| llama_test(test-jinja NAME test-jinja-py ARGS -py LABEL python) | |
| llama_build_and_test(test-chat-auto-parser.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}) | |
| llama_build_and_test(test-chat-template.cpp) | |
| llama_build_and_test(test-log.cpp) | |
| llama_build_and_test( | |
| test-peg-parser.cpp | |
| peg-parser/simple-tokenize.cpp | |
| peg-parser/test-basic.cpp | |
| peg-parser/test-gbnf-generation.cpp | |
| peg-parser/test-json-parser.cpp | |
| peg-parser/test-json-serialization.cpp | |
| peg-parser/test-python-dict-parser.cpp | |
| peg-parser/test-unicode.cpp | |
| peg-parser/tests.h | |
| ) | |
| if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "s390x") | |
| set(MODEL_NAME "tinyllamas/stories15M-q4_0.gguf") | |
| set(MODEL_HASH "SHA256=66967fbece6dbe97886593fdbb73589584927e29119ec31f08090732d1861739") | |
| else() | |
| set(MODEL_NAME "tinyllamas/stories15M-be.Q4_0.gguf") | |
| set(MODEL_HASH "SHA256=9aec857937849d976f30397e97eb1cabb53eb9dcb1ce4611ba8247fb5f44c65d") | |
| endif() | |
| set(MODEL_DEST "${CMAKE_BINARY_DIR}/${MODEL_NAME}") | |
| add_test(NAME test-download-model COMMAND ${CMAKE_COMMAND} | |
| -DDEST=${MODEL_DEST} | |
| -DNAME=${MODEL_NAME} | |
| -DHASH=${MODEL_HASH} | |
| -P ${CMAKE_SOURCE_DIR}/cmake/download-models.cmake | |
| ) | |
| set_tests_properties(test-download-model PROPERTIES FIXTURES_SETUP test-download-model) | |
| llama_build_and_test(test-thread-safety.cpp ARGS -m "${MODEL_DEST}" -ngl 99 -p "The meaning of life is" -n 128 -c 256 -ub 32 -np 4 -t 2) | |
| set_tests_properties(test-thread-safety PROPERTIES FIXTURES_REQUIRED test-download-model) | |
| llama_build_and_test(test-arg-parser.cpp) | |
| if (NOT LLAMA_SANITIZE_ADDRESS AND NOT GGML_SCHED_NO_REALLOC) | |
| # TODO: repair known memory leaks | |
| llama_build_and_test(test-opt.cpp) | |
| endif() | |
| llama_build_and_test(test-gguf.cpp) | |
| llama_build_and_test(test-backend-ops.cpp) | |
| llama_build_and_test(test-model-load-cancel.cpp LABEL "model") | |
| llama_build_and_test(test-autorelease.cpp LABEL "model") | |
| llama_build_and_test(test-backend-sampler.cpp LABEL "model") | |
| # Test for state restore with fragmented KV cache | |
| # Requires a model, uses same args pattern as test-thread-safety | |
| llama_build_and_test(test-state-restore-fragmented.cpp LABEL "model" ARGS -m "${MODEL_DEST}") | |
| set_tests_properties(test-state-restore-fragmented PROPERTIES FIXTURES_REQUIRED test-download-model) | |
| llama_build_and_test(test-recurrent-state-rollback.cpp LABEL "model" ARGS -m "${MODEL_DEST}") | |
| set_tests_properties(test-recurrent-state-rollback PROPERTIES FIXTURES_REQUIRED test-download-model) | |
| # Test state save/load functionality | |
| llama_build_and_test(test-save-load-state.cpp LABEL "model" ARGS -m "${MODEL_DEST}") | |
| set_tests_properties(test-save-load-state PROPERTIES FIXTURES_REQUIRED test-download-model) | |
| if (NOT GGML_BACKEND_DL) | |
| # these tests use the backends directly and cannot be built with dynamic loading | |
| llama_build_and_test(test-barrier.cpp) | |
| llama_build_and_test(test-quantize-fns.cpp) | |
| llama_build_and_test(test-quantize-perf.cpp) | |
| llama_build_and_test(test-rope.cpp) | |
| llama_build_and_test(test-col2im-1d.cpp) | |
| endif() | |
| # libmtmd | |
| set(LLAMA_TEST_NAME test-mtmd-c-api) | |
| llama_build_and_test(test-mtmd-c-api.c) | |
| target_link_libraries(${LLAMA_TEST_NAME} PRIVATE mtmd) | |
| unset(LLAMA_TEST_NAME) | |
| # GGUF model data fetcher library for tests that need real model metadata | |
| # Only compile when cpp-httplib has SSL support (CPPHTTPLIB_OPENSSL_SUPPORT) | |
| if (TARGET cpp-httplib) | |
| get_target_property(_cpp_httplib_defs cpp-httplib INTERFACE_COMPILE_DEFINITIONS) | |
| if (_cpp_httplib_defs MATCHES "CPPHTTPLIB_OPENSSL_SUPPORT") | |
| add_library(gguf-model-data STATIC gguf-model-data.cpp) | |
| target_link_libraries(gguf-model-data PRIVATE llama-common cpp-httplib) | |
| target_include_directories(gguf-model-data PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}) | |
| add_executable(test-gguf-model-data test-gguf-model-data.cpp) | |
| target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data llama-common) | |
| llama_test(test-gguf-model-data LABEL "model") | |
| # test-quant-type-selection requires gguf-model-data for remote model metadata | |
| llama_build_and_test(test-quant-type-selection.cpp LABEL "model") | |
| target_link_libraries(test-quant-type-selection PRIVATE gguf-model-data) | |
| target_compile_definitions(test-quant-type-selection PRIVATE | |
| SNAPSHOT_DIR="${CMAKE_CURRENT_SOURCE_DIR}/snapshots") | |
| endif() | |
| endif() | |
| # dummy executable - not installed | |
| get_filename_component(TEST_TARGET test-c.c NAME_WE) | |
| add_executable(${TEST_TARGET} test-c.c) | |
| target_link_libraries(${TEST_TARGET} PRIVATE llama) | |
| llama_build_and_test(test-alloc.cpp) | |
| target_include_directories(test-alloc PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src) | |
| llama_build(test-export-graph-ops.cpp) | |
| target_include_directories(test-export-graph-ops PRIVATE ${PROJECT_SOURCE_DIR}/ggml/src) | |
| if (TARGET gguf-model-data) | |
| target_link_libraries(test-export-graph-ops PRIVATE gguf-model-data) | |
| target_compile_definitions(test-export-graph-ops PRIVATE LLAMA_HF_FETCH) | |
| endif() | |