Instructions to use gaianet/QwQ-32B-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 gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/QwQ-32B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/gaianet/QwQ-32B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use gaianet/QwQ-32B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gaianet/QwQ-32B-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": "gaianet/QwQ-32B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gaianet/QwQ-32B-GGUF:Q4_K_M

Ollama
How to use gaianet/QwQ-32B-GGUF with Ollama:
```
ollama run hf.co/gaianet/QwQ-32B-GGUF:Q4_K_M
```

Unsloth Studio

How to use gaianet/QwQ-32B-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 gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gaianet/QwQ-32B-GGUF to start chatting

How to use gaianet/QwQ-32B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf gaianet/QwQ-32B-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": "gaianet/QwQ-32B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use gaianet/QwQ-32B-GGUF with Docker Model Runner:
```
docker model run hf.co/gaianet/QwQ-32B-GGUF:Q4_K_M
```

Lemonade

How to use gaianet/QwQ-32B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gaianet/QwQ-32B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.QwQ-32B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use gaianet/QwQ-32B-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 gaianet/QwQ-32B-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 gaianet/QwQ-32B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use gaianet/QwQ-32B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf gaianet/QwQ-32B-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 "gaianet/QwQ-32B-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"

apepkuss79 commited on Mar 6, 2025

Commit

5cef5dd

verified ·

1 Parent(s): d7eae26

Update models

Browse files

Files changed (17) hide show

.gitattributes +15 -0
QwQ-32B-Q2_K.gguf +3 -0
QwQ-32B-Q3_K_L.gguf +3 -0
QwQ-32B-Q3_K_M.gguf +3 -0
QwQ-32B-Q3_K_S.gguf +3 -0
QwQ-32B-Q4_0.gguf +3 -0
QwQ-32B-Q4_K_M.gguf +3 -0
QwQ-32B-Q4_K_S.gguf +3 -0
QwQ-32B-Q5_0.gguf +3 -0
QwQ-32B-Q5_K_M.gguf +3 -0
QwQ-32B-Q5_K_S.gguf +3 -0
QwQ-32B-Q6_K.gguf +3 -0
QwQ-32B-Q8_0.gguf +3 -0
QwQ-32B-f16-00001-of-00003.gguf +3 -0
QwQ-32B-f16-00002-of-00003.gguf +3 -0
QwQ-32B-f16-00003-of-00003.gguf +3 -0
config.json +27 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,18 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-f16-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-f16-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+QwQ-32B-f16-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text

QwQ-32B-Q2_K.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:89ee455ecbbb0d9395b6d60dddbeaedbf36b25452d8774dfea09ca3beb23808a
+size 12313098816

QwQ-32B-Q3_K_L.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:9207f1609a6d3cd0e972a9c708dea748f36a5c06e3f5d47b997aed3c8098bdb5
+size 17247078976

QwQ-32B-Q3_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:cf5812b92ce09e8d58c6f1298207daabcaba0f106bb3358d50da3573d31e7acc
+size 15935048256

QwQ-32B-Q3_K_S.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:9ad80c156f9b388ec1f50a51ffe78c7768262bdfc735d509a76dd67fd7342bf1
+size 14392330816

QwQ-32B-Q4_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:794244be231887f9fd04eeae23ba5a995936d7b5d4fe53b59667a42ec46ef3ac
+size 18640230976

QwQ-32B-Q4_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:0e9b6cb902cc17dbd5ffbc481dc9303cd2ea24daf3b49398d474bfeb22e419e4
+size 19851336256

QwQ-32B-Q4_K_S.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:9d258617bdf056d583c0723a43abc7f8cb8b6ae8d80e3024daa373b58bc43730
+size 18784410176

QwQ-32B-Q5_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:f5a1c01c35d96351fe08877eb942ce4e66b903c458680905aa069f9b010ec3f0
+size 22638254656

QwQ-32B-Q5_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:c65883d252c5707ed98b05f980515963f53f95bdb5caa644098be1be000cba51
+size 23262157376

QwQ-32B-Q5_K_S.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:ee94b96eb0b8a6f01600185f8fbcdeeae5d9dcc874289c13608558a0eeeff9bc
+size 22638254656

QwQ-32B-Q6_K.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:13f9fda244c5a73bfb6464062a4666c715c18834d4ec438533f9c8d884925f53
+size 26886154816

QwQ-32B-Q8_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:6c0b473616167f14af406d122ed3a12f374f6958d2ed2a5af0a889e0cf9f1695
+size 34820885056

QwQ-32B-f16-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:db91081a5379f6c92aa80b4e34560ef9cb9bc12e47621ca964799a72e9c45715
+size 29845224544

QwQ-32B-f16-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a060881be66e15f9f01ae910c26103ae52a40c748d03623d73ca8e95f38c68b6
+size 29823611296

QwQ-32B-f16-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:7b7e242c5e78dc962f4acb0ed7fea1a109d4f798ceeed4d589d7e0ed091edba0
+size 5867134368

config.json ADDED Viewed

	@@ -0,0 +1,27 @@

+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 27648,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 64,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}