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 { describe, expect, it } from 'vitest'; | |
| import { isAbortError } from '$lib/utils/abort'; | |
| describe('isAbortError', () => { | |
| it('returns false for null, undefined and non-error values', () => { | |
| expect(isAbortError(null)).toBe(false); | |
| expect(isAbortError(undefined)).toBe(false); | |
| expect(isAbortError('string error')).toBe(false); | |
| expect(isAbortError({ name: 'AbortError' })).toBe(false); | |
| expect(isAbortError(42)).toBe(false); | |
| }); | |
| it('returns true for DOMException with AbortError name', () => { | |
| const err = new DOMException('Operation was aborted', 'AbortError'); | |
| expect(isAbortError(err)).toBe(true); | |
| }); | |
| it('returns true for plain Error with AbortError name', () => { | |
| const err = new Error('aborted'); | |
| err.name = 'AbortError'; | |
| expect(isAbortError(err)).toBe(true); | |
| }); | |
| it('returns false for unrelated Error instances', () => { | |
| expect(isAbortError(new Error('something failed'))).toBe(false); | |
| expect(isAbortError(new TypeError('not related'))).toBe(false); | |
| expect(isAbortError(new RangeError('out of range'))).toBe(false); | |
| }); | |
| it('recognizes Firefox TypeError "Error in input stream" emitted at page unload', () => { | |
| expect(isAbortError(new TypeError('Error in input stream'))).toBe(true); | |
| expect(isAbortError(new TypeError('TypeError: Error in input stream'))).toBe(true); | |
| }); | |
| it('recognizes Safari "The network connection was lost" during transient drop', () => { | |
| expect(isAbortError(new TypeError('The network connection was lost.'))).toBe(true); | |
| }); | |
| it('recognizes Safari "Load failed" during page navigation', () => { | |
| expect(isAbortError(new TypeError('Load failed'))).toBe(true); | |
| }); | |
| it('does NOT recognize generic TypeError messages as aborts', () => { | |
| // matching too broadly would hide real bugs, the predicate must stay conservative | |
| expect(isAbortError(new TypeError('Failed to fetch'))).toBe(false); | |
| expect(isAbortError(new TypeError('Cannot read property of undefined'))).toBe(false); | |
| expect(isAbortError(new TypeError('NetworkError when attempting to fetch resource'))).toBe( | |
| false | |
| ); | |
| }); | |
| it('is case insensitive on the matched substrings', () => { | |
| expect(isAbortError(new TypeError('error in INPUT STREAM'))).toBe(true); | |
| expect(isAbortError(new TypeError('the network connection WAS LOST'))).toBe(true); | |
| }); | |
| }); | |