Text Generation
GGUF
English
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
Eval Results (legacy)
Eval Results
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
- llama.cpp
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
- Pi
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"
Download .venv/bin/activate.nu from Nanthasit/sakthai-coder-1.5b: direct link, hf CLI and curl.
- Browser
- Download file 3.79 kB
-
https://huggingface.co/Nanthasit/sakthai-coder-1.5b/resolve/ccf920d99d6bd541ebf3002761014d25d2fa7a3e/.venv/bin/activate.nu
- Command line
-
hf download hf://Nanthasit/sakthai-coder-1.5b@ccf920d99d6bd541ebf3002761014d25d2fa7a3e/.venv/bin/activate.nu
-
curl -L -o activate.nu https://huggingface.co/Nanthasit/sakthai-coder-1.5b/resolve/ccf920d99d6bd541ebf3002761014d25d2fa7a3e/.venv/bin/activate.nu
3.79 kB
| # Copyright (c) 2020-202x The virtualenv developers | |
| # | |
| # Permission is hereby granted, free of charge, to any person obtaining | |
| # a copy of this software and associated documentation files (the | |
| # "Software"), to deal in the Software without restriction, including | |
| # without limitation the rights to use, copy, modify, merge, publish, | |
| # distribute, sublicense, and/or sell copies of the Software, and to | |
| # permit persons to whom the Software is furnished to do so, subject to | |
| # the following conditions: | |
| # | |
| # The above copyright notice and this permission notice shall be | |
| # included in all copies or substantial portions of the Software. | |
| # | |
| # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | |
| # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF | |
| # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | |
| # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE | |
| # LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION | |
| # OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION | |
| # WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. | |
| # virtualenv activation module: | |
| # - Activate with `overlay use activate.nu` | |
| # - Deactivate with `deactivate`, as usual | |
| # | |
| # To customize the overlay name, you can call `overlay use activate.nu as foo`, but then simply `deactivate` won't work | |
| # because it is just an alias to hide the "activate" overlay. You'd need to call `overlay hide foo` manually. | |
| module warning { | |
| export-env { | |
| const file = path self | |
| error make -u { | |
| msg: $"`($file | path basename)` is meant to be used with `overlay use`, not `source`" | |
| } | |
| } | |
| } | |
| use warning | |
| export-env { | |
| let nu_ver = (version | get version | split row '.' | take 2 | each { into int }) | |
| if $nu_ver.0 == 0 and $nu_ver.1 < 106 { | |
| error make { | |
| msg: 'virtualenv Nushell activation requires Nushell 0.106 or greater.' | |
| } | |
| } | |
| def is-string [x] { | |
| ($x | describe) == 'string' | |
| } | |
| def has-env [...names] { | |
| $names | each {|n| $n in $env } | all {|i| $i } | |
| } | |
| def is-env-true [name: string] { | |
| if (has-env $name) { | |
| let val = ($env | get --optional $name) | |
| if ($val | describe) == 'bool' { | |
| $val | |
| } else { | |
| not ($val | is-empty) | |
| } | |
| } else { | |
| false | |
| } | |
| } | |
| let virtual_env = '/opt/data/sakthai-skills-repo/.venv' | |
| let bin = 'bin' | |
| let path_name = if (has-env 'Path') { 'Path' } else { 'PATH' } | |
| let venv_path = ([$virtual_env $bin] | path join) | |
| let new_path = ($env | get $path_name | prepend $venv_path) | |
| let virtual_env_prompt = if ('sakthai-agent' | is-empty) { | |
| ($virtual_env | path basename) | |
| } else { | |
| 'sakthai-agent' | |
| } | |
| let new_env = { $path_name: $new_path VIRTUAL_ENV: $virtual_env VIRTUAL_ENV_PROMPT: $virtual_env_prompt } | |
| let old_prompt_command = if (has-env 'PROMPT_COMMAND') { $env.PROMPT_COMMAND } else { '' } | |
| let new_env = if (is-env-true 'VIRTUAL_ENV_DISABLE_PROMPT') { | |
| $new_env | |
| } else { | |
| let virtual_prefix = $'(char lparen)($virtual_env_prompt)(char rparen) ' | |
| let new_prompt = if (has-env 'PROMPT_COMMAND') { | |
| if ('closure' in ($old_prompt_command | describe)) { | |
| {|| $'($virtual_prefix)(do $old_prompt_command)' } | |
| } else { | |
| {|| $'($virtual_prefix)($old_prompt_command)' } | |
| } | |
| } else { | |
| {|| $'($virtual_prefix)' } | |
| } | |
| $new_env | merge { PROMPT_COMMAND: $new_prompt VIRTUAL_PREFIX: $virtual_prefix } | |
| } | |
| load-env $new_env | |
| } | |
| export alias pydoc = python -m pydoc | |
| export alias deactivate = overlay hide activate | |