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
| <script lang="ts"> | |
| import { Package } from '@lucide/svelte'; | |
| import { BadgeInfo, ActionIconCopyToClipboard } from '$lib/components/app'; | |
| import ModelId from './ModelId.svelte'; | |
| import { modelsStore } from '$lib/stores/models.svelte'; | |
| import { serverStore } from '$lib/stores/server.svelte'; | |
| import * as Tooltip from '$lib/components/ui/tooltip'; | |
| interface Props { | |
| class?: string; | |
| model?: string; | |
| onclick?: () => void; | |
| showCopyIcon?: boolean; | |
| showTooltip?: boolean; | |
| } | |
| let { | |
| class: className = '', | |
| model: modelProp, | |
| onclick, | |
| showCopyIcon = false, | |
| showTooltip = false | |
| }: Props = $props(); | |
| let model = $derived(modelProp || modelsStore.singleModelName); | |
| let isModelMode = $derived(serverStore.isModelMode); | |
| let shouldShow = $derived(model && (modelProp !== undefined || isModelMode)); | |
| </script> | |
| {#snippet badgeContent(triggerProps?: Record<string, unknown>)} | |
| <BadgeInfo {...triggerProps ?? {}} class={className} {onclick}> | |
| {#snippet icon()} | |
| <Package class="h-3 w-3" /> | |
| {/snippet} | |
| {#if model} | |
| <ModelId modelId={model} /> | |
| {/if} | |
| {#if showCopyIcon} | |
| <ActionIconCopyToClipboard text={model || ''} ariaLabel="Copy model name" /> | |
| {/if} | |
| </BadgeInfo> | |
| {/snippet} | |
| {#if shouldShow} | |
| {#if showTooltip} | |
| <Tooltip.Root> | |
| <Tooltip.Trigger> | |
| <!-- prevent another nested button element --> | |
| {#snippet child({ props })} | |
| {@render badgeContent(props)} | |
| {/snippet} | |
| </Tooltip.Trigger> | |
| <Tooltip.Content> | |
| {onclick ? 'Click for model details' : model} | |
| </Tooltip.Content> | |
| </Tooltip.Root> | |
| {:else} | |
| {@render badgeContent()} | |
| {/if} | |
| {/if} | |