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
| # initialize a new worktree from a PR number: | |
| # | |
| # - creates a new remote using the fork's clone URL | |
| # - creates a local branch tracking the remote branch | |
| # - creates a new worktree in a parent folder, suffixed with "-pr-$PR" | |
| # | |
| # sample usage: | |
| # ./scripts/pr2wt.sh 12345 | |
| # ./scripts/pr2wt.sh 12345 opencode | |
| # ./scripts/pr2wt.sh 12345 "cmake -B build && cmake --build build" | |
| # ./scripts/pr2wt.sh 12345 "bash -l" | |
| function usage() { | |
| echo "usage: $0 <pr_number> [cmd]" | |
| exit 1 | |
| } | |
| # check we are in the right directory | |
| if [[ ! -f "scripts/pr2wt.sh" ]]; then | |
| echo "error: this script must be run from the root of the repository" | |
| exit 1 | |
| fi | |
| if [[ $# -lt 1 || $# -gt 2 ]]; then | |
| usage | |
| fi | |
| PR=$1 | |
| [[ "$PR" =~ ^[0-9]+$ ]] || { echo "error: PR number must be numeric"; exit 1; } | |
| url_origin=$(git config --get remote.upstream.url 2>/dev/null) || \ | |
| url_origin=$(git config --get remote.origin.url) || { | |
| echo "error: no remote named 'upstream' or 'origin' in this repository" | |
| exit 1 | |
| } | |
| # Extract org/repo from either https or ssh format. | |
| if [[ $url_origin =~ ^git@ ]]; then | |
| org_repo=$(echo $url_origin | cut -d: -f2) | |
| else | |
| org_repo=$(echo $url_origin | cut -d/ -f4-) | |
| fi | |
| org_repo=${org_repo%.git} | |
| echo "org/repo: $org_repo" | |
| meta=$(curl -sSLf -H "Accept: application/vnd.github+json" "https://api.github.com/repos/$org_repo/pulls/$PR") | |
| url_remote=$(echo "$meta" | jq -r '.head.repo.clone_url') | |
| head_ref=$(echo "$meta" | jq -r '.head.ref') | |
| echo "url: $url_remote" | |
| echo "head_ref: $head_ref" | |
| url_remote_cur=$(git config --get "remote.pr/$PR.url" 2>/dev/null || true) | |
| if [[ "$url_remote_cur" != "$url_remote" ]]; then | |
| git remote rm pr/$PR 2> /dev/null | |
| git remote add pr/$PR "$url_remote" | |
| fi | |
| git fetch "pr/$PR" "$head_ref" | |
| dir=$(basename $(pwd)) | |
| git branch -D pr/$PR 2> /dev/null | |
| git worktree add -b pr/$PR ../$dir-pr-$PR pr/$PR/$head_ref 2> /dev/null | |
| og_path=$(pwd) | |
| wt_path=$(cd ../$dir-pr-$PR && pwd) | |
| echo "git worktree created in $wt_path" | |
| cd $wt_path | |
| # pi agent setup in the worktree | |
| if [[ -f "$og_path/.pi/SYSTEM.md" && ! -f ".pi/SYSTEM.md" ]]; then | |
| mkdir -p .pi | |
| ln -sfn "$og_path/.pi/SYSTEM.md" .pi/SYSTEM.md | |
| fi | |
| git branch --set-upstream-to=pr/$PR/$head_ref | |
| git pull --ff-only || { | |
| echo "error: failed to pull pr/$PR" | |
| exit 1 | |
| } | |
| if [[ $# -eq 2 ]]; then | |
| echo "executing: $2" | |
| eval "$2" | |
| fi | |