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
| import { CLI_FLAGS } from '$lib/constants'; | |
| import { SvelteSet } from 'svelte/reactivity'; | |
| import { ToolSource } from '$lib/enums'; | |
| import { conversationsStore } from '$lib/stores/conversations.svelte'; | |
| import { mcpStore } from '$lib/stores/mcp.svelte'; | |
| import { toolsStore } from '$lib/stores/tools.svelte'; | |
| import type { ToolGroup } from '$lib/types'; | |
| export interface UseToolsPanelReturn { | |
| readonly expandedGroups: SvelteSet<string>; | |
| readonly groups: ToolGroup[]; | |
| readonly activeGroups: ToolGroup[]; | |
| readonly totalToolCount: number; | |
| readonly noToolsInfoMessage: string | null; | |
| isGroupChecked(group: ToolGroup): boolean; | |
| getEnabledToolCount(group: ToolGroup): number; | |
| getFavicon(group: ToolGroup): string | null; | |
| isGroupDisabled(group: ToolGroup): boolean; | |
| toggleGroupExpanded(label: string): void; | |
| /** Toggle all tools in a group by label (avoids stale group object references). */ | |
| toggleGroupByLabel(label: string): void; | |
| handleOpen(): void; | |
| } | |
| /** | |
| * Shared reactive state and helpers for the tools panel UI. | |
| * | |
| * Used by both the desktop dropdown (`ChatFormActionAddToolsSubmenu`) | |
| * and the mobile sheet (`ChatFormActionAddSheet`) to avoid | |
| * duplicating group filtering, checked-state derivation, and favicon logic. | |
| */ | |
| export function useToolsPanel(): UseToolsPanelReturn { | |
| const expandedGroups = new SvelteSet<string>(); | |
| const groups = $derived(toolsStore.toolGroups); | |
| const activeGroups = $derived( | |
| groups.filter( | |
| (g) => | |
| g.source !== ToolSource.MCP || | |
| !g.serverId || | |
| conversationsStore.isMcpServerEnabledForChat(g.serverId) | |
| ) | |
| ); | |
| const totalToolCount = $derived(activeGroups.reduce((n, g) => n + g.tools.length, 0)); | |
| const noToolsInfoMessage = $derived.by(() => { | |
| if (toolsStore.loading) return null; | |
| if (toolsStore.toolGroups.length > 0) return null; | |
| // Tools endpoint is unreachable (404) — server started without --tools | |
| if (toolsStore.isToolsEndpointUnreachable) { | |
| return `To enable Built-In Tools you need to run llama-server with ${CLI_FLAGS.TOOLS} all or ${CLI_FLAGS.TOOLS} <name> flag. To see MCP Tools you need to add / enable MCP Server(s).`; | |
| } | |
| // Other errors — return null so UI shows "Failed to load tools" | |
| if (toolsStore.error) return null; | |
| return `To enable Built-In Tools you need to run llama-server with ${CLI_FLAGS.TOOLS} all or ${CLI_FLAGS.TOOLS} <name> flag. To see MCP Tools you need to add / enable MCP Server(s).`; | |
| }); | |
| function isGroupChecked(group: ToolGroup): boolean { | |
| return toolsStore.isGroupFullyEnabled(group); | |
| } | |
| function getEnabledToolCount(group: ToolGroup): number { | |
| return group.tools.filter((tool) => toolsStore.isToolEnabled(tool.key)).length; | |
| } | |
| function getFavicon(group: ToolGroup): string | null { | |
| if (group.source !== ToolSource.MCP || !group.serverId) return null; | |
| return mcpStore.getServerFavicon(group.serverId); | |
| } | |
| function isGroupDisabled(group: ToolGroup): boolean { | |
| return ( | |
| group.source === ToolSource.MCP && | |
| !!group.serverId && | |
| !conversationsStore.isMcpServerEnabledForChat(group.serverId) | |
| ); | |
| } | |
| function toggleGroupExpanded(label: string): void { | |
| if (expandedGroups.has(label)) { | |
| expandedGroups.delete(label); | |
| } else { | |
| expandedGroups.add(label); | |
| } | |
| } | |
| function toggleGroupByLabel(label: string): void { | |
| // Find current group by label to get up-to-date tool references | |
| const group = activeGroups.find((g) => g.label === label); | |
| if (!group) return; | |
| toolsStore.toggleGroup(group); | |
| } | |
| function handleOpen(): void { | |
| if (toolsStore.builtinTools.length === 0 && !toolsStore.loading) { | |
| toolsStore.fetchBuiltinTools(); | |
| } | |
| mcpStore.runHealthChecksForServers(mcpStore.getServersSorted().filter((s) => s.enabled)); | |
| } | |
| return { | |
| expandedGroups, | |
| get groups() { | |
| return groups; | |
| }, | |
| get activeGroups() { | |
| return activeGroups; | |
| }, | |
| get totalToolCount() { | |
| return totalToolCount; | |
| }, | |
| get noToolsInfoMessage() { | |
| return noToolsInfoMessage; | |
| }, | |
| isGroupChecked, | |
| getEnabledToolCount, | |
| getFavicon, | |
| isGroupDisabled, | |
| toggleGroupExpanded, | |
| toggleGroupByLabel, | |
| handleOpen | |
| }; | |
| } | |