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
| // | |
| // MIT license | |
| // Copyright (C) 2025 Intel Corporation | |
| // SPDX-License-Identifier: MIT | |
| // | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| template <typename T> | |
| using to_t_sycl_t = void (*)(const void * __restrict__ x, T * __restrict__ y, int64_t k, dpct::queue_ptr stream); | |
| typedef to_t_sycl_t<float> to_fp32_sycl_t; | |
| typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t; | |
| to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst); | |
| to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor * dst); | |
| typedef to_t_sycl_t<sycl::ext::oneapi::bfloat16> to_bf16_sycl_t; | |
| to_bf16_sycl_t ggml_get_to_bf16_sycl(ggml_type type, ggml_tensor * dst); | |
| // Nc = Non-contiguous | |
| template <typename T> | |
| using to_t_nc_sycl_t = void (*)(const void * x, T * y, int64_t ne00, int64_t ne01, int64_t ne02, int64_t ne03, | |
| int64_t s01, int64_t s02, int64_t s03, dpct::queue_ptr queue); | |
| typedef to_t_nc_sycl_t<sycl::half> to_fp16_nc_sycl_t; | |
| to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type); | |
| template<typename dst_t, typename src_t> | |
| inline dst_t ggml_sycl_cast(src_t x) { | |
| if constexpr (std::is_same_v<dst_t, src_t>) { | |
| return x; | |
| } else if constexpr (std::is_same_v<dst_t, sycl::ext::oneapi::bfloat16>) { | |
| return sycl::ext::oneapi::bfloat16(float(x)); | |
| } else if constexpr (std::is_same_v<src_t, sycl::ext::oneapi::bfloat16>) { | |
| return static_cast<float>(x); | |
| } else if constexpr (std::is_same_v<src_t, sycl::float2> && std::is_same_v<dst_t, sycl::half2>) { | |
| return x.template convert<sycl::half, sycl::rounding_mode::rte>(); | |
| } else if constexpr (std::is_same_v<src_t, sycl::float2> && | |
| std::is_same_v<dst_t, sycl::vec<sycl::ext::oneapi::bfloat16, 2>>) { | |
| return {x.x, x.y}; | |
| } else if constexpr(std::is_same_v<dst_t, int32_t>) { | |
| return int32_t(x); | |
| } else { | |
| return float(x); | |
| } | |
| } | |