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
| ```mermaid | |
| %% ROUTER Mode Data Flow (multi-model) | |
| %% Detailed flows: ./flows/server-flow.mmd, ./flows/models-flow.mmd, ./flows/chat-flow.mmd | |
| sequenceDiagram | |
| participant User as π€ User | |
| participant UI as π§© UI | |
| participant Stores as ποΈ Stores | |
| participant DB as πΎ IndexedDB | |
| participant API as π llama-server | |
| Note over User,API: π Initialization (see: server-flow.mmd, models-flow.mmd) | |
| UI->>Stores: initialize() | |
| Stores->>DB: load conversations | |
| Stores->>API: GET /props | |
| API-->>Stores: {role: "router"} | |
| Stores->>API: GET /v1/models | |
| API-->>Stores: models[] with status (loaded/available) | |
| loop each loaded model | |
| Stores->>API: GET /props?model=X | |
| API-->>Stores: modalities (vision/audio) | |
| end | |
| Note over User,API: π Model Selection (see: models-flow.mmd) | |
| User->>UI: select model | |
| alt model not loaded | |
| Stores->>API: POST /models/load | |
| loop poll status | |
| Stores->>API: GET /v1/models | |
| API-->>Stores: check if loaded | |
| end | |
| Stores->>API: GET /props?model=X | |
| API-->>Stores: cache modalities | |
| end | |
| Stores->>Stores: validate modalities vs conversation | |
| alt valid | |
| Stores->>Stores: select model | |
| else invalid | |
| Stores->>API: POST /models/unload | |
| UI->>User: show error toast | |
| end | |
| Note over User,API: π¬ Chat Flow (see: chat-flow.mmd) | |
| User->>UI: send message | |
| UI->>Stores: sendMessage() | |
| Stores->>DB: save user message | |
| Stores->>API: POST /v1/chat/completions {model: X} | |
| Note right of API: router forwards to model | |
| loop streaming | |
| API-->>Stores: SSE chunks + model info | |
| Stores-->>UI: reactive update | |
| end | |
| API-->>Stores: done + timings | |
| Stores->>DB: save assistant message + model used | |
| Note over User,API: π Regenerate (optional: different model) | |
| User->>UI: regenerate | |
| Stores->>Stores: validate modalities up to this message | |
| Stores->>DB: create message branch | |
| Note right of Stores: same streaming flow | |
| Note over User,API: βΉοΈ Stop | |
| User->>UI: stop | |
| Stores->>Stores: abort stream | |
| Stores->>DB: save partial response | |
| Note over User,API: ποΈ LRU Unloading | |
| Note right of API: Server auto-unloads LRU models<br/>when cache full | |
| User->>UI: select unloaded model | |
| Note right of Stores: triggers load flow again | |
| ``` | |