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
| /* eslint-disable no-irregular-whitespace */ | |
| // Math Formulas Content | |
| export const MATH_FORMULAS_MD = String.raw` | |
| # Mathematical Formulas and Expressions | |
| This document demonstrates various mathematical notation and formulas that can be rendered using LaTeX syntax in markdown. | |
| ## Basic Arithmetic | |
| ### Addition and Summation | |
| $$\sum_{i=1}^{n} i = \frac{n(n+1)}{2}$$ | |
| ## Algebra | |
| ### Quadratic Formula | |
| The solutions to $ax^2 + bx + c = 0$ are: | |
| $$x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}$$ | |
| ### Binomial Theorem | |
| $$(x + y)^n = \sum_{k=0}^{n} \binom{n}{k} x^{n-k} y^k$$ | |
| ## Calculus | |
| ### Derivatives | |
| The derivative of $f(x) = x^n$ is: | |
| $$f'(x) = nx^{n-1}$$ | |
| ### Integration | |
| $$\int_a^b f(x) \, dx = F(b) - F(a)$$ | |
| ### Fundamental Theorem of Calculus | |
| $$\frac{d}{dx} \int_a^x f(t) \, dt = f(x)$$ | |
| ## Linear Algebra | |
| ### Matrix Multiplication | |
| If $A$ is an $m \times n$ matrix and $B$ is an $n \times p$ matrix, then: | |
| $$C_{ij} = \sum_{k=1}^{n} A_{ik} B_{kj}$$ | |
| ### Eigenvalues and Eigenvectors | |
| For a square matrix $A$, if $Av = \lambda v$ for some non-zero vector $v$, then: | |
| - $\lambda$ is an eigenvalue | |
| - $v$ is an eigenvector | |
| ## Statistics and Probability | |
| ### Normal Distribution | |
| The probability density function is: | |
| $$f(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}$$ | |
| ### Bayes' Theorem | |
| $$P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}$$ | |
| ### Central Limit Theorem | |
| For large $n$, the sample mean $\bar{X}$ is approximately: | |
| $$\bar{X} \sim N\left(\mu, \frac{\sigma^2}{n}\right)$$ | |
| ## Trigonometry | |
| ### Pythagorean Identity | |
| $$\sin^2\theta + \cos^2\theta = 1$$ | |
| ### Euler's Formula | |
| $$e^{i\theta} = \cos\theta + i\sin\theta$$ | |
| ### Taylor Series for Sine | |
| $$\sin x = \sum_{n=0}^{\infty} \frac{(-1)^n}{(2n+1)!} x^{2n+1} = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!} + \cdots$$ | |
| ## Complex Analysis | |
| ### Complex Numbers | |
| A complex number can be written as: | |
| $$z = a + bi = r e^{i\theta}$$ | |
| where $r = |z| = \sqrt{a^2 + b^2}$ and $\theta = \arg(z)$ | |
| ### Cauchy-Riemann Equations | |
| For a function $f(z) = u(x,y) + iv(x,y)$ to be analytic: | |
| $$\frac{\partial u}{\partial x} = \frac{\partial v}{\partial y}, \quad \frac{\partial u}{\partial y} = -\frac{\partial v}{\partial x}$$ | |
| ## Differential Equations | |
| ### First-order Linear ODE | |
| $$\frac{dy}{dx} + P(x)y = Q(x)$$ | |
| Solution: $y = e^{-\int P(x)dx}\left[\int Q(x)e^{\int P(x)dx}dx + C\right]$ | |
| ### Heat Equation | |
| $$\frac{\partial u}{\partial t} = \alpha \frac{\partial^2 u}{\partial x^2}$$ | |
| ## Number Theory | |
| ### Prime Number Theorem | |
| $$\pi(x) \sim \frac{x}{\ln x}$$ | |
| where $\pi(x)$ is the number of primes less than or equal to $x$. | |
| ### Fermat's Last Theorem | |
| For $n > 2$, there are no positive integers $a$, $b$, and $c$ such that: | |
| $$a^n + b^n = c^n$$ | |
| ## Set Theory | |
| ### De Morgan's Laws | |
| $$\overline{A \cup B} = \overline{A} \cap \overline{B}$$ | |
| $$\overline{A \cap B} = \overline{A} \cup \overline{B}$$ | |
| ## Advanced Topics | |
| ### Riemann Zeta Function | |
| $$\zeta(s) = \sum_{n=1}^{\infty} \frac{1}{n^s} = \prod_{p \text{ prime}} \frac{1}{1-p^{-s}}$$ | |
| ### Maxwell's Equations | |
| $$\nabla \cdot \mathbf{E} = \frac{\rho}{\epsilon_0}$$ | |
| $$\nabla \cdot \mathbf{B} = 0$$ | |
| $$\nabla \times \mathbf{E} = -\frac{\partial \mathbf{B}}{\partial t}$$ | |
| $$\nabla \times \mathbf{B} = \mu_0\mathbf{J} + \mu_0\epsilon_0\frac{\partial \mathbf{E}}{\partial t}$$ | |
| ### Schrödinger Equation | |
| $$i\hbar\frac{\partial}{\partial t}\Psi(\mathbf{r},t) = \hat{H}\Psi(\mathbf{r},t)$$ | |
| ## Inline Math Examples | |
| Here are some inline mathematical expressions: | |
| - The golden ratio: $\phi = \frac{1 + \sqrt{5}}{2} \approx 1.618$ | |
| - Euler's number: $e = \lim_{n \to \infty} \left(1 + \frac{1}{n}\right)^n$ | |
| - Pi: $\pi = 4 \sum_{n=0}^{\infty} \frac{(-1)^n}{2n+1}$ | |
| - Square root of 2: $\sqrt{2} = 1.41421356...$ | |
| ## Fractions and Radicals | |
| Complex fraction: $\frac{\frac{a}{b} + \frac{c}{d}}{\frac{e}{f} - \frac{g}{h}}$ | |
| Nested radicals: $\sqrt{2 + \sqrt{3 + \sqrt{4 + \sqrt{5}}}}$ | |
| ## Summations and Products | |
| ### Geometric Series | |
| $$\sum_{n=0}^{\infty} ar^n = \frac{a}{1-r} \quad \text{for } |r| < 1$$ | |
| ### Product Notation | |
| $$n! = \prod_{k=1}^{n} k$$ | |
| ### Double Summation | |
| $$\sum_{i=1}^{m} \sum_{j=1}^{n} a_{ij}$$ | |
| ## Limits | |
| $$\lim_{x \to 0} \frac{\sin x}{x} = 1$$ | |
| $$\lim_{n \to \infty} \left(1 + \frac{x}{n}\right)^n = e^x$$ | |
| ## Further Bracket Styles and Amounts | |
| - \( \mathrm{GL}_2(\mathbb{F}_7) \): Group of invertible matrices with entries in \(\mathbb{F}_7\). | |
| - Some kernel of \(\mathrm{SL}_2(\mathbb{F}_7)\): | |
| \[ | |
| \left\{ \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}, \begin{pmatrix} -1 & 0 \\ 0 & -1 \end{pmatrix} \right\} = \{\pm I\} | |
| \] | |
| - Algebra: | |
| \[ | |
| x = \frac{-b \pm \sqrt{\,b^{2}-4ac\,}}{2a} | |
| \] | |
| - $100 and $12.99 are amounts, not LaTeX. | |
| - I have $10, $3.99 and $x + y$ and $100x$. The amount is $2,000. | |
| - Emma buys 2 cupcakes for $3 each and 1 cookie for $1.50. How much money does she spend in total? | |
| - Maria has $20. She buys a notebook for $4.75 and a pack of pencils for $3.25. How much change does she receive? | |
| - 1 kg の質量は | |
| \[ | |
| E = (1\ \text{kg}) \times (3.0 \times 10^8\ \text{m/s})^2 \approx 9.0 \times 10^{16}\ \text{J} | |
| \] | |
| というエネルギーに相当します。これは約 21 百万トンの TNT が爆発したときのエネルギーに匹敵します。 | |
| - Algebra: \[ | |
| x = \frac{-b \pm \sqrt{\,b^{2}-4ac\,}}{2a} | |
| \] | |
| - Algebraic topology, Homotopy Groups of $\mathbb{S}^3$: | |
| $$\pi_n(\mathbb{S}^3) = \begin{cases} | |
| \mathbb{Z} & n = 3 \\ | |
| 0 & n > 3, n \neq 4 \\ | |
| \mathbb{Z}_2 & n = 4 \\ | |
| \end{cases}$$ | |
| - Spacer preceded by backslash: | |
| \[ | |
| \boxed{ | |
| \begin{aligned} | |
| N_{\text{att}}^{\text{(MHA)}} &= | |
| h \bigl[\, d_{\text{model}}\;d_{k} + d_{\text{model}}\;d_{v}\, \bigr] && (\text{Q,K,V の重み})\\ | |
| &\quad+ h(d_{k}+d_{k}+d_{v}) && (\text{バイアス Q,K,V)}\\[4pt] | |
| &\quad+ (h d_{v})\, d_{\text{model}} && (\text{出力射影 }W^{O})\\ | |
| &\quad+ d_{\text{model}} && (\text{バイアス }b^{O}) | |
| \end{aligned}} | |
| \] | |
| ## Formulas in a Table | |
| | Area | Expression | Comment | | |
| |------|------------|---------| | |
| | **Algebra** | \[ | |
| x = \frac{-b \pm \sqrt{\,b^{2}-4ac\,}}{2a} | |
| \] | Quadratic formula | | |
| | | \[ | |
| (a+b)^{n} = \sum_{k=0}^{n}\binom{n}{k}\,a^{\,n-k}\,b^{\,k} | |
| \] | Binomial theorem | | |
| | | \(\displaystyle \prod_{k=1}^{n}k = n! \) | Factorial definition | | |
| | **Geometry** | \( \mathbf{a}\cdot \mathbf{b} = \|\mathbf{a}\|\,\|\mathbf{b}\|\,\cos\theta \) | Dot product & angle | | |
| ## No math (but chemical) | |
| Balanced chemical reaction with states: | |
| \[ | |
| \ce{2H2(g) + O2(g) -> 2H2O(l)} | |
| \] | |
| The standard enthalpy change for the reaction is: $\Delta H^\circ = \pu{-572 kJ mol^{-1}}$. | |
| --- | |
| *This document showcases various mathematical notation and formulas that can be rendered in markdown using LaTeX syntax.* | |
| `; | |