Instructions to use mradermacher/Helio1-Ray-8B-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Helio1-Ray-8B-i1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Helio1-Ray-8B-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Helio1-Ray-8B-i1-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/Helio1-Ray-8B-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Helio1-Ray-8B-i1-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/Helio1-Ray-8B-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Helio1-Ray-8B-i1-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/Helio1-Ray-8B-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Helio1-Ray-8B-i1-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/Helio1-Ray-8B-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Helio1-Ray-8B-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Helio1-Ray-8B-i1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Helio1-Ray-8B-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Helio1-Ray-8B-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Helio1-Ray-8B-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Helio1-Ray-8B-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Helio1-Ray-8B-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Helio1-Ray-8B-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Helio1-Ray-8B-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Feb 24

Commit

1f849c0

verified ·

1 Parent(s): 35d4ec1

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-base_model: HelioAI/Helio1-Ray-8B
 language:
 - ru
 - en
@@ -32,7 +32,7 @@ tags:
 <!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
-weighted/imatrix quants of https://huggingface.co/HelioAI/Helio1-Ray-8B
 <!-- provided-files -->

 ---
+base_model: HelioAI/Helio1-Ray-8B-Preview
 language:
 - ru
 - en
 <!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
+weighted/imatrix quants of https://huggingface.co/HelioAI/Helio1-Ray-8B-Preview
 <!-- provided-files -->