Instructions to use jonpojonpo/Machynlleth-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use jonpojonpo/Machynlleth-3B-Instruct 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 jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Use Docker

docker model run hf.co/jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use jonpojonpo/Machynlleth-3B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jonpojonpo/Machynlleth-3B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jonpojonpo/Machynlleth-3B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Ollama
How to use jonpojonpo/Machynlleth-3B-Instruct with Ollama:
```
ollama run hf.co/jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use jonpojonpo/Machynlleth-3B-Instruct with Docker Model Runner:
```
docker model run hf.co/jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M
```

Lemonade

How to use jonpojonpo/Machynlleth-3B-Instruct with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jonpojonpo/Machynlleth-3B-Instruct:Q4_K_M

Run and chat with the model

lemonade run user.Machynlleth-3B-Instruct-Q4_K_M

List all available models

lemonade list

Atomic Chat

Machynlleth-3B-Instruct / generation_config.json

jonpojonpo

Add card, config, tokenizer and evaluation

d33c75c verified 10 days ago

Raw History Blame Contribute Delete

136 Bytes

{
  "_from_model_config": true,
  "bos_token_id": 2,
  "eos_token_id": 32001,
  "pad_token_id": 0,
  "transformers_version": "5.10.2"
}

	{
	"_from_model_config": true,
	"bos_token_id": 2,
	"eos_token_id": 32001,
	"pad_token_id": 0,
	"transformers_version": "5.10.2"
	}