Instructions to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="mradermacher/EraX-VL-7B-V2.0-Preview-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/EraX-VL-7B-V2.0-Preview-GGUF", dtype="auto")

llama-cpp-python

How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/EraX-VL-7B-V2.0-Preview-GGUF",
	filename="EraX-VL-7B-V2.0-Preview.IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "{\n    \"question\": \"What is my name?\",\n    \"context\": \"My name is Clara and I live in Berkeley.\"\n}"
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF 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 mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/EraX-VL-7B-V2.0-Preview-GGUF: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 mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/EraX-VL-7B-V2.0-Preview-GGUF: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 mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with Ollama:
```
ollama run hf.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF 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 mradermacher/EraX-VL-7B-V2.0-Preview-GGUF 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 mradermacher/EraX-VL-7B-V2.0-Preview-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/EraX-VL-7B-V2.0-Preview-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/EraX-VL-7B-V2.0-Preview-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/EraX-VL-7B-V2.0-Preview-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.EraX-VL-7B-V2.0-Preview-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Feb 13, 2025

Commit

dc6bcba

verified ·

1 Parent(s): e725b98

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -47,6 +47,7 @@ more details, including on how to concatenate multi-part files.
 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q2_K.gguf) | Q2_K | 3.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
@@ -77,6 +78,6 @@ questions you might have and/or if you want some other model quantized.
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
-this work in my free time.
 <!-- end -->

 | Link | Type | Size/GB | Notes |
 |:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.mmproj-fp16.gguf) | mmproj-fp16 | 1.5 | vision supplement |
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q2_K.gguf) | Q2_K | 3.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/EraX-VL-7B-V2.0-Preview-GGUF/resolve/main/EraX-VL-7B-V2.0-Preview.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
+this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
 <!-- end -->