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
| name: Bug (misc.) | |
| description: Something is not working the way it should (and it's not covered by any of the above cases). | |
| title: "Misc. bug: " | |
| labels: ["bug-unconfirmed"] | |
| body: | |
| - type: markdown | |
| attributes: | |
| value: > | |
| Thanks for taking the time to fill out this bug report! | |
| This issue template is intended for miscellaneous bugs that don't fit into any other category. | |
| If you encountered the issue while using an external UI (e.g. ollama), | |
| please reproduce your issue using one of the examples/binaries in this repository. | |
| Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). | |
| - type: textarea | |
| id: version | |
| attributes: | |
| label: Name and Version | |
| description: Which version of our software is affected? (You can use `--version` to get a version string.) | |
| placeholder: | | |
| $./llama-cli --version | |
| version: 2999 (42b4109e) | |
| built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu | |
| validations: | |
| required: true | |
| - type: dropdown | |
| id: operating-system | |
| attributes: | |
| label: Operating systems | |
| description: Which operating systems do you know to be affected? | |
| multiple: true | |
| options: | |
| - Linux | |
| - Mac | |
| - Windows | |
| - BSD | |
| - Other? (Please let us know in description) | |
| validations: | |
| required: false | |
| - type: dropdown | |
| id: module | |
| attributes: | |
| label: Which llama.cpp modules do you know to be affected? | |
| multiple: true | |
| options: | |
| - Documentation/Github | |
| - libllama (core library) | |
| - llama-cli | |
| - llama-server | |
| - llama-bench | |
| - llama-quantize | |
| - Python/Bash scripts | |
| - Test code | |
| - Other (Please specify in the next section) | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: command | |
| attributes: | |
| label: Command line | |
| description: > | |
| Please provide the exact commands you entered, if applicable. For example: `llama-server -m ... -c ...`, `llama-cli -m ...`, etc. | |
| This will be automatically formatted into code, so no need for backticks. | |
| render: shell | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: info | |
| attributes: | |
| label: Problem description & steps to reproduce | |
| description: > | |
| Please give us a summary of the problem and tell us how to reproduce it (if applicable). | |
| validations: | |
| required: true | |
| - type: textarea | |
| id: first_bad_commit | |
| attributes: | |
| label: First Bad Commit | |
| description: > | |
| If the bug was not present on an earlier version and it's not trivial to track down: when did it start appearing? | |
| If possible, please do a git bisect and identify the exact commit that introduced the bug. | |
| validations: | |
| required: false | |
| - type: textarea | |
| id: logs | |
| attributes: | |
| label: Relevant log output | |
| description: > | |
| If applicable, please copy and paste any relevant log output, including any generated text. | |
| If you are encountering problems specifically with the `llama_params_fit` module, always upload `--verbose` logs as well. | |
| For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose. | |
| On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command. | |
| value: | | |
| <details> | |
| <summary>Logs</summary> | |
| <!-- Copy-pasted short logs go into the "console" area here --> | |
| ```console | |
| ``` | |
| </details> | |
| <!-- Long logs that you upload as files go here, outside the "console" area --> | |
| validations: | |
| required: false | |