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.
- 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
- 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
- Atomic Chat
File size: 4,654 Bytes
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llama_add_compile_flags()
#
# llama-common-base
#
# Build info header
if(EXISTS "${PROJECT_SOURCE_DIR}/.git")
set(GIT_DIR "${PROJECT_SOURCE_DIR}/.git")
# Is git submodule
if(NOT IS_DIRECTORY "${GIT_DIR}")
file(READ ${GIT_DIR} REAL_GIT_DIR_LINK)
string(REGEX REPLACE "gitdir: (.*)\n$" "\\1" REAL_GIT_DIR ${REAL_GIT_DIR_LINK})
string(FIND "${REAL_GIT_DIR}" "/" SLASH_POS)
if (SLASH_POS EQUAL 0)
set(GIT_DIR "${REAL_GIT_DIR}")
else()
set(GIT_DIR "${PROJECT_SOURCE_DIR}/${REAL_GIT_DIR}")
endif()
endif()
if(EXISTS "${GIT_DIR}/index")
# For build-info.cpp below
set_property(DIRECTORY APPEND PROPERTY CMAKE_CONFIGURE_DEPENDS "${GIT_DIR}/index")
else()
message(WARNING "Git index not found in git repository.")
endif()
else()
message(WARNING "Git repository not found; to enable automatic generation of build info, make sure Git is installed and the project is a Git repository.")
endif()
set(TEMPLATE_FILE "${CMAKE_CURRENT_SOURCE_DIR}/build-info.cpp.in")
set(OUTPUT_FILE "${CMAKE_CURRENT_BINARY_DIR}/build-info.cpp")
configure_file(${TEMPLATE_FILE} ${OUTPUT_FILE})
set(TARGET llama-common-base)
add_library(${TARGET} STATIC ${OUTPUT_FILE})
target_include_directories(${TARGET} PUBLIC .)
if (BUILD_SHARED_LIBS)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
endif()
#
# llama-common
#
set(TARGET llama-common)
add_library(${TARGET}
arg.cpp
arg.h
base64.hpp
chat-auto-parser-generator.cpp
chat-auto-parser-helpers.cpp
chat-auto-parser.h
chat-diff-analyzer.cpp
chat-peg-parser.cpp
chat-peg-parser.h
chat.cpp
chat.h
common.cpp
common.h
console.cpp
console.h
debug.cpp
debug.h
download.cpp
download.h
fit.cpp
fit.h
hf-cache.cpp
hf-cache.h
http.h
imatrix-loader.cpp
imatrix-loader.h
json-schema-to-grammar.cpp
llguidance.cpp
log.cpp
log.h
ngram-cache.cpp
ngram-cache.h
ngram-map.cpp
ngram-map.h
ngram-mod.cpp
ngram-mod.h
peg-parser.cpp
peg-parser.h
preset.cpp
preset.h
reasoning-budget.cpp
reasoning-budget.h
sampling.cpp
sampling.h
speculative.cpp
speculative.h
unicode.cpp
unicode.h
jinja/lexer.cpp
jinja/lexer.h
jinja/parser.cpp
jinja/parser.h
jinja/runtime.cpp
jinja/runtime.h
jinja/value.cpp
jinja/value.h
jinja/string.cpp
jinja/string.h
jinja/caps.cpp
jinja/caps.h
)
set_target_properties(${TARGET} PROPERTIES
VERSION ${LLAMA_INSTALL_VERSION}
SOVERSION 0
MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
)
target_include_directories(${TARGET} PUBLIC . ../vendor)
target_compile_features (${TARGET} PUBLIC cxx_std_17)
if (BUILD_SHARED_LIBS)
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
# TODO: make fine-grained exports in the future
set_target_properties(${TARGET} PROPERTIES WINDOWS_EXPORT_ALL_SYMBOLS ON)
endif()
target_link_libraries(${TARGET} PUBLIC llama-common-base)
target_link_libraries(${TARGET} PRIVATE cpp-httplib)
if (LLAMA_LLGUIDANCE)
include(ExternalProject)
set(LLGUIDANCE_SRC ${CMAKE_BINARY_DIR}/llguidance/source)
set(LLGUIDANCE_PATH ${LLGUIDANCE_SRC}/target/release)
set(LLGUIDANCE_LIB_NAME "${CMAKE_STATIC_LIBRARY_PREFIX}llguidance${CMAKE_STATIC_LIBRARY_SUFFIX}")
ExternalProject_Add(llguidance_ext
GIT_REPOSITORY https://github.com/guidance-ai/llguidance
# v1.0.1:
GIT_TAG d795912fedc7d393de740177ea9ea761e7905774
PREFIX ${CMAKE_BINARY_DIR}/llguidance
SOURCE_DIR ${LLGUIDANCE_SRC}
BUILD_IN_SOURCE TRUE
CONFIGURE_COMMAND ""
BUILD_COMMAND cargo build --release --package llguidance
INSTALL_COMMAND ""
BUILD_BYPRODUCTS ${LLGUIDANCE_PATH}/${LLGUIDANCE_LIB_NAME} ${LLGUIDANCE_PATH}/llguidance.h
UPDATE_COMMAND ""
)
target_compile_definitions(${TARGET} PUBLIC LLAMA_USE_LLGUIDANCE)
add_library(llguidance STATIC IMPORTED)
set_target_properties(llguidance PROPERTIES IMPORTED_LOCATION ${LLGUIDANCE_PATH}/${LLGUIDANCE_LIB_NAME})
add_dependencies(llguidance llguidance_ext)
target_include_directories(${TARGET} PRIVATE ${LLGUIDANCE_PATH})
target_link_libraries(${TARGET} PRIVATE llguidance)
if (WIN32)
target_link_libraries(${TARGET} PRIVATE ws2_32 userenv ntdll bcrypt)
endif()
endif()
target_link_libraries(${TARGET} PUBLIC llama Threads::Threads)
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