Instructions to use Nanthasit/sakthai-coder-1.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Nanthasit/sakthai-coder-1.5b 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 Nanthasit/sakthai-coder-1.5b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nanthasit/sakthai-coder-1.5b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nanthasit/sakthai-coder-1.5b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nanthasit/sakthai-coder-1.5b: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 Nanthasit/sakthai-coder-1.5b:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Nanthasit/sakthai-coder-1.5b: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 Nanthasit/sakthai-coder-1.5b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nanthasit/sakthai-coder-1.5b:Q4_K_M

Use Docker

docker model run hf.co/Nanthasit/sakthai-coder-1.5b:Q4_K_M

LM Studio
Jan

vLLM

How to use Nanthasit/sakthai-coder-1.5b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nanthasit/sakthai-coder-1.5b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nanthasit/sakthai-coder-1.5b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nanthasit/sakthai-coder-1.5b:Q4_K_M

Ollama
How to use Nanthasit/sakthai-coder-1.5b with Ollama:
```
ollama run hf.co/Nanthasit/sakthai-coder-1.5b:Q4_K_M
```
Unsloth Desktop

How to use Nanthasit/sakthai-coder-1.5b with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nanthasit/sakthai-coder-1.5b: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": "Nanthasit/sakthai-coder-1.5b:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Nanthasit/sakthai-coder-1.5b with Docker Model Runner:
```
docker model run hf.co/Nanthasit/sakthai-coder-1.5b:Q4_K_M
```

Lemonade

How to use Nanthasit/sakthai-coder-1.5b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Nanthasit/sakthai-coder-1.5b:Q4_K_M

Run and chat with the model

lemonade run user.sakthai-coder-1.5b-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Nanthasit/sakthai-coder-1.5b with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nanthasit/sakthai-coder-1.5b: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 Nanthasit/sakthai-coder-1.5b:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Nanthasit/sakthai-coder-1.5b with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nanthasit/sakthai-coder-1.5b: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 "Nanthasit/sakthai-coder-1.5b: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"

Nanthasit commited on Aug 1

Commit

a4adbac

verified ·

1 Parent(s): 316ae0a

cron-eval: add metadata eval result for sakthai-coder-1.5b

Browse files

Files changed (1) hide show

.eval_results/cron-eval-Nanthasit_sakthai-coder-1.5b-20260801T072854Z.yaml +63 -0

.eval_results/cron-eval-Nanthasit_sakthai-coder-1.5b-20260801T072854Z.yaml ADDED Viewed

	@@ -0,0 +1,63 @@

+eval_run_id: cron-sakthai-coder-1.5b-20260801T072854Z
+model_id: Nanthasit/sakthai-coder-1.5b
+result_type: metadata
+type: metadata_cron
+timestamp: '2026-08-01T07:28:54.949262+00:00'
+metrics:
+- name: pass@1 (HumanEval, base ref)
+  value: 74.4
+  dataset: HumanEval
+  task: text-generation
+  verified: false
+- name: pass@1 (MBPP, base ref)
+  value: 71.2
+  dataset: MBPP
+  task: text-generation
+  verified: false
+- name: pass@1 (MultiPL-E Python, base ref)
+  value: 65.3
+  dataset: MultiPL-E
+  task: text-generation
+  verified: false
+- name: downloads
+  value: 151
+  dataset: Hugging Face Hub
+  task: popularity
+  verified: true
+summary:
+  pipeline_tag: text-generation
+  license: apache-2.0
+  base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+  languages:
+  - en
+  datasets:
+  - Nanthasit/sakthai-combined-v6
+  - Nanthasit/sakthai-combined-v7
+  - Nanthasit/sakthai-bench-v2
+  - Nanthasit/sakthai-irrelevance-supplement
+  downloads: 151
+  likes: 0
+  commit: 316ae0a1e058b1e92286fa7721bde529aee2ba08
+  last_modified: '2026-08-01T05:28:15+00:00'
+  tags:
+  - gguf
+  - code
+  - coder
+  - qwen2.5
+  - qwen2.5-coder
+  - llama-cpp
+  - llama.cpp
+  - ollama
+  - code-generation
+  - tool-calling
+  - conversational
+  - cpu-inference
+  - small-language-model
+  - offline
+  - sakthai
+  - house-of-sak
+  - text-generation
+  - en
+  - dataset:Nanthasit/sakthai-combined-v6
+  - dataset:Nanthasit/sakthai-combined-v7
+  notes: Metadata eval snapshot; no live inference run performed in cron job.