Instructions to use easygoing0114/flan-t5-xxl-fused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use easygoing0114/flan-t5-xxl-fused with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="easygoing0114/flan-t5-xxl-fused",
	filename="flan_t5_xxl_TE-only_Q3_K_L.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 easygoing0114/flan-t5-xxl-fused with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M

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 easygoing0114/flan-t5-xxl-fused:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M

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 easygoing0114/flan-t5-xxl-fused:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf easygoing0114/flan-t5-xxl-fused:Q4_K_M

Use Docker

docker model run hf.co/easygoing0114/flan-t5-xxl-fused:Q4_K_M

LM Studio
Jan
Ollama
How to use easygoing0114/flan-t5-xxl-fused with Ollama:
```
ollama run hf.co/easygoing0114/flan-t5-xxl-fused:Q4_K_M
```

Unsloth Studio

How to use easygoing0114/flan-t5-xxl-fused 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 easygoing0114/flan-t5-xxl-fused 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 easygoing0114/flan-t5-xxl-fused to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for easygoing0114/flan-t5-xxl-fused to start chatting

Atomic Chat new
Docker Model Runner
How to use easygoing0114/flan-t5-xxl-fused with Docker Model Runner:
```
docker model run hf.co/easygoing0114/flan-t5-xxl-fused:Q4_K_M
```

Lemonade

How to use easygoing0114/flan-t5-xxl-fused with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull easygoing0114/flan-t5-xxl-fused:Q4_K_M

Run and chat with the model

lemonade run user.flan-t5-xxl-fused-Q4_K_M

List all available models

lemonade list

Off-Topic Share method for merging?

by Qiko - opened Oct 26, 2025

Discussion

Qiko

Oct 26, 2025

Would be kind to explain how to merge HF files? I could never figure it out.

easygoing0114

Owner Oct 27, 2025

Hi! I'm just a Sunday programmer.
To merge the files, I actually asked an AI (Claude) to write a merge script for me.

Here’s roughly what I did:

Downloaded the split safetensors files, config.json, and model.safetensors.index.json from the official repo:
https://huggingface.co/google/flan-t5-xxl/tree/main
Fed config.json and model.safetensors.index.json to Claude, and asked it to generate a script that merges the files into a single model.
Ran that script locally on VS Code.

I don’t have the script anymore, but nowadays any AI assistant (ChatGPT, Gemini, Claude, etc.) should be smart enough to generate a similar one if you provide those two JSON files.

Hope that helps!

qpqpqpqpqpqp

Nov 4, 2025

https://raw.githubusercontent.com/dkotel/merge-safetensors/refs/heads/main/merge_safetensors.py
@easygoing0114 @Qiko

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment