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
| import type { AgenticConfig } from '$lib/types/agentic'; | |
| export const ATTACHMENT_SAVED_REGEX = /\[Attachment saved: ([^\]]+)\]/; | |
| export const NEWLINE_SEPARATOR = '\n'; | |
| export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = { | |
| enabled: true, | |
| maxTurns: 100, | |
| maxToolPreviewLines: 25 | |
| } as const; | |
| export const REASONING_TAGS = { | |
| START: '<think>', | |
| END: '</think>' | |
| } as const; | |
| /** | |
| * @deprecated Legacy marker tags - only used for migration of old stored messages. | |
| * New messages use structured fields (reasoningContent, toolCalls, toolCallId). | |
| */ | |
| export const LEGACY_AGENTIC_TAGS = { | |
| TOOL_CALL_START: '<<<AGENTIC_TOOL_CALL_START>>>', | |
| TOOL_CALL_END: '<<<AGENTIC_TOOL_CALL_END>>>', | |
| TOOL_NAME_PREFIX: '<<<TOOL_NAME:', | |
| TOOL_ARGS_START: '<<<TOOL_ARGS_START>>>', | |
| TOOL_ARGS_END: '<<<TOOL_ARGS_END>>>', | |
| TAG_SUFFIX: '>>>' | |
| } as const; | |
| /** | |
| * @deprecated Legacy reasoning tags - only used for migration of old stored messages. | |
| * New messages use the dedicated reasoningContent field. | |
| */ | |
| export const LEGACY_REASONING_TAGS = { | |
| START: '<<<reasoning_content_start>>>', | |
| END: '<<<reasoning_content_end>>>' | |
| } as const; | |
| /** | |
| * @deprecated Legacy regex patterns - only used for migration of old stored messages. | |
| */ | |
| export const LEGACY_AGENTIC_REGEX = { | |
| COMPLETED_TOOL_CALL: | |
| /<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g, | |
| REASONING_BLOCK: /<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g, | |
| REASONING_EXTRACT: /<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/, | |
| REASONING_OPEN: /<<<reasoning_content_start>>>[\s\S]*$/, | |
| AGENTIC_TOOL_CALL_BLOCK: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*?<<<AGENTIC_TOOL_CALL_END>>>/g, | |
| AGENTIC_TOOL_CALL_OPEN: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/, | |
| HAS_LEGACY_MARKERS: /<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/ | |
| } as const; | |