Instructions to use techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "techwithsergiu/Qwen3.5-text-0.8B-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": "techwithsergiu/Qwen3.5-text-0.8B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M

Ollama
How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with Ollama:
```
ollama run hf.co/techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf techwithsergiu/Qwen3.5-text-0.8B-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": "techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with Docker Model Runner:
```
docker model run hf.co/techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M
```

Lemonade

How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.5-text-0.8B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-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 techwithsergiu/Qwen3.5-text-0.8B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use techwithsergiu/Qwen3.5-text-0.8B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf techwithsergiu/Qwen3.5-text-0.8B-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 "techwithsergiu/Qwen3.5-text-0.8B-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"

techwithsergiu commited on Mar 11

Commit

e336b80

verified ·

1 Parent(s): 127a706

upd readme thinking section

Browse files

Files changed (2) hide show

README.md +21 -8
diagrams/diagram_02.png +2 -2

README.md CHANGED Viewed

@@ -67,14 +67,27 @@ Recommended quant: `Q4_K_M`.
 ### Thinking mode
 Qwen3.5 supports an optional chain-of-thought `<think>` block before the answer.
-In the transformers API this is controlled via `enable_thinking=True/False` in
-`apply_chat_template`.
-**llama.cpp:** thinking appears to be enabled by default. `--reasoning-budget 0`
-and `--chat-template-kwargs '{"enable_thinking":false}'` have been tested but do
-not reliably disable it — this may be a llama.cpp issue with Qwen3 thinking models.
-Check [llama.cpp issues](https://github.com/ggml-org/llama.cpp/issues) for the
-current status.
 ## Pipeline diagram

 ### Thinking mode
 Qwen3.5 supports an optional chain-of-thought `<think>` block before the answer.
+Thinking is **enabled by default** in llama.cpp.
+**Note:** `--chat-template-kwargs '{"enable_thinking":...}'` is deprecated — do not use.
+**Known issue:** `--reasoning off` is accepted but does not actually disable thinking.
+**Workaround:** use `--reasoning-budget 0` — this reliably disables the `<think>` block.
+Track the bug at [llama.cpp issues](https://github.com/ggml-org/llama.cpp/issues).
+```bash
+# Thinking OFF — direct answer (workaround: --reasoning-budget 0)
+./llama.cpp/build/bin/llama-cli \
+    -m Qwen3.5-text-0.8B-Q4_K_M.gguf \
+    --reasoning-budget 0 \
+    -p "What is the capital of Romania?" \
+    -n 256
+# Thinking ON — default, no flag needed
+./llama.cpp/build/bin/llama-cli \
+    -m Qwen3.5-text-0.8B-Q4_K_M.gguf \
+    -p "What is 17 × 34?" \
+    -n 1024
+```
 ## Pipeline diagram

diagrams/diagram_02.png CHANGED Viewed

Git LFS Details

SHA256: 3378efa94d85ccc52ec06285a50f95879f4e88abbe88a9d42d8d123bd16ee678
Pointer size: 131 Bytes
Size of remote file: 338 kB

Git LFS Details

SHA256: aea772c27d8e837bbd7787253daeab69286fec70601e11000c35105fb84835ac
Pointer size: 131 Bytes
Size of remote file: 338 kB