Instructions to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Ollama
How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with Ollama:
```
ollama run hf.co/DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
```

Unsloth Studio

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF to start chatting

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with Docker Model Runner:
```
docker model run hf.co/DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M
```

Lemonade

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen.Qwen3.8-Flash-Next-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-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 DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "DevQuasar/Qwen.Qwen3.8-Flash-Next-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

@@ -40,3 +40,12 @@ Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00003-of-00006.gguf filter=lfs d
 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00004-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00005-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00006-of-00006.gguf filter=lfs diff=lfs merge=lfs -text

 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00004-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00005-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q2_K.gguf-00006-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00001-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00002-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00003-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00004-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00005-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00006-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00007-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00008-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
+Q4_K_M/Qwen.Qwen3.8-Flash-Next.f16.gguf.Q4_K_M.gguf-00009-of-00009.gguf filter=lfs diff=lfs merge=lfs -text

DevQuasar
/

Qwen.Qwen3.8-Flash-Next-GGUF

Upload folder using huggingface_hub

+version https://git-lfs.github.com/spec/v1
+oid sha256:9440bb3cbc17c72ea4394523c18dffd516cc845f84a2171593764c6f3bfe1bb2
+size 536554496

+version https://git-lfs.github.com/spec/v1
+oid sha256:5525862c79f095f99908e98527ff65d27bedf5ae4f6ef16f2761259ebc4ab766
+size 35200169152

+version https://git-lfs.github.com/spec/v1
+oid sha256:1896c9a9f452bbe04da84b0fe83a51c5f83dc94bfecb9200e7cf0eb7c89c4e84
+size 13899015200

+version https://git-lfs.github.com/spec/v1
+oid sha256:30a745d77b1e0489702e9e371f27a19d4e0a7dc4d2ea8f29e90fc248d3ac6b8e
+size 13994873984

+version https://git-lfs.github.com/spec/v1
+oid sha256:3bc8236e1cf47d517b467ccdf4b3df70e7c0a4fa5d0fd73cd5f46181f4937a30
+size 13998597888

+version https://git-lfs.github.com/spec/v1
+oid sha256:94d08ec22fd3938c79da169f58672ed1d8ce62bd40ecfc6ef93e9ed2ac4056b6
+size 13233442944

+version https://git-lfs.github.com/spec/v1
+oid sha256:93ae09ca35e4adb845a13fd62e2a8b8c9fb3675da4bcf0656013243423c0f5e7
+size 13510081472

+version https://git-lfs.github.com/spec/v1
+oid sha256:becd99266ed702c996a74de4069f253da063e1633bcb89d81189ad6f459ece20
+size 13814729376

+version https://git-lfs.github.com/spec/v1
+oid sha256:59266a3970cde22d5d93ca220b2469b0ac7ae0644a1775907b635a9cb0c3424f
+size 963258656

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@