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.
- 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 Desktop
- 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
- Atomic Chat
File size: 2,537 Bytes
8efb28e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | import pytest
from openai import OpenAI
from utils import *
server: ServerProcess
@pytest.fixture(autouse=True)
def create_server():
global server
server = ServerPreset.tinyllama2()
def test_responses_with_openai_library():
global server
server.start()
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
res = client.responses.create(
model="gpt-4.1",
input=[
{"role": "system", "content": "Book"},
{"role": "user", "content": "What is the best book"},
],
max_output_tokens=8,
temperature=0.8,
)
assert res.id.startswith("resp_")
assert res.output[0].id is not None
assert res.output[0].id.startswith("msg_")
assert match_regex("(Suddenly)+", res.output_text)
def test_responses_stream_with_openai_library():
global server
server.start()
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
stream = client.responses.create(
model="gpt-4.1",
input=[
{"role": "system", "content": "Book"},
{"role": "user", "content": "What is the best book"},
],
max_output_tokens=8,
temperature=0.8,
stream=True,
)
gathered_text = ''
resp_id = ''
msg_id = ''
for r in stream:
if r.type == "response.created":
assert r.response.id.startswith("resp_")
resp_id = r.response.id
if r.type == "response.in_progress":
assert r.response.id == resp_id
if r.type == "response.output_item.added":
assert r.item.id is not None
assert r.item.id.startswith("msg_")
msg_id = r.item.id
if (r.type == "response.content_part.added" or
r.type == "response.output_text.delta" or
r.type == "response.output_text.done" or
r.type == "response.content_part.done"):
assert r.item_id == msg_id
if r.type == "response.output_item.done":
assert r.item.id == msg_id
if r.type == "response.output_text.delta":
gathered_text += r.delta
if r.type == "response.completed":
assert r.response.id.startswith("resp_")
assert r.response.output[0].id is not None
assert r.response.output[0].id.startswith("msg_")
assert gathered_text == r.response.output_text
assert match_regex("(Suddenly)+", r.response.output_text)
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