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
| static inline uint64_t hex_get_cycles() { | |
| uint64_t cycles = 0; | |
| asm volatile(" %0 = c15:14\n" : "=r"(cycles)); | |
| return cycles; | |
| } | |
| static inline uint64_t hex_get_pktcnt() { | |
| uint64_t pktcnt; | |
| asm volatile(" %0 = c19:18\n" : "=r"(pktcnt)); | |
| return pktcnt; | |
| } | |
| static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) { | |
| const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height)); | |
| Q6_l2fetch_AP((void *) p, control); | |
| } | |
| static inline void hex_l2flush(void * addr, size_t size) { | |
| if (size > HEX_L2_FLUSH_SIZE) { | |
| qurt_mem_cache_clean((qurt_addr_t) 0, 0, QURT_MEM_CACHE_FLUSH_INVALIDATE_ALL, QURT_MEM_DCACHE); | |
| } else { | |
| const uint32_t s = (uint32_t) addr; | |
| const uint32_t e = s + size; | |
| for (uint32_t i = s; i < e; i += HEX_L2_LINE_SIZE * 4) { | |
| Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 0); | |
| Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 1); | |
| Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 2); | |
| Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 3); | |
| } | |
| } | |
| } | |
| static inline void hex_pause() { | |
| asm volatile(" pause(#255)\n"); | |
| } | |