Instructions to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF", dtype="auto")

llama-cpp-python

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF",
	filename="Qwen3-1.7B-ShiningValiant3.i1-IQ1_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/Qwen3-1.7B-ShiningValiant3-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/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Qwen3-1.7B-ShiningValiant3-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/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-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/Qwen3-1.7B-ShiningValiant3-i1-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/Qwen3-1.7B-ShiningValiant3-i1-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/Qwen3-1.7B-ShiningValiant3-i1-GGUF to start chatting

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Qwen3-1.7B-ShiningValiant3-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-1.7B-ShiningValiant3-i1-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Jul 10, 2025

Commit

f709a35

verified ·

1 Parent(s): 0553936

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +5 -54

README.md CHANGED Viewed

@@ -8,61 +8,9 @@ language:
 - en
 library_name: transformers
 license: apache-2.0
 quantized_by: mradermacher
-tags:
-- shining-valiant
-- shining-valiant-3
-- valiant
-- valiant-labs
-- qwen
-- qwen-3
-- qwen-3-1.7b
-- 1.7b
-- reasoning
-- code
-- code-reasoning
-- science
-- science-reasoning
-- physics
-- biology
-- chemistry
-- earth-science
-- astronomy
-- machine-learning
-- artificial-intelligence
-- compsci
-- computer-science
-- information-theory
-- ML-Ops
-- math
-- cuda
-- deep-learning
-- transformers
-- agentic
-- LLM
-- neuromorphic
-- self-improvement
-- complex-systems
-- cognition
-- linguistics
-- philosophy
-- logic
-- epistemology
-- simulation
-- game-theory
-- knowledge-management
-- creativity
-- problem-solving
-- architect
-- engineer
-- developer
-- creative
-- analytical
-- expert
-- rationality
-- conversational
-- chat
-- instruct
 ---
 ## About
@@ -74,6 +22,9 @@ tags:
 weighted/imatrix quants of https://huggingface.co/ValiantLabs/Qwen3-1.7B-ShiningValiant3
 <!-- provided-files -->
 static quants are available at https://huggingface.co/mradermacher/Qwen3-1.7B-ShiningValiant3-GGUF
 ## Usage

 - en
 library_name: transformers
 license: apache-2.0
+mradermacher:
+  readme_rev: 1
 quantized_by: mradermacher
 ---
 ## About
 weighted/imatrix quants of https://huggingface.co/ValiantLabs/Qwen3-1.7B-ShiningValiant3
 <!-- provided-files -->
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-1.7B-ShiningValiant3-i1-GGUF).***
 static quants are available at https://huggingface.co/mradermacher/Qwen3-1.7B-ShiningValiant3-GGUF
 ## Usage