Instructions to use aethertp/PicoLM-80M-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 aethertp/PicoLM-80M-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 aethertp/PicoLM-80M-Instruct
# Run inference directly in the terminal:
llama cli -hf aethertp/PicoLM-80M-Instruct

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aethertp/PicoLM-80M-Instruct
# Run inference directly in the terminal:
llama cli -hf aethertp/PicoLM-80M-Instruct

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 aethertp/PicoLM-80M-Instruct
# Run inference directly in the terminal:
./llama-cli -hf aethertp/PicoLM-80M-Instruct

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 aethertp/PicoLM-80M-Instruct
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aethertp/PicoLM-80M-Instruct

Use Docker

docker model run hf.co/aethertp/PicoLM-80M-Instruct

LM Studio
Jan

vLLM

How to use aethertp/PicoLM-80M-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aethertp/PicoLM-80M-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": "aethertp/PicoLM-80M-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/aethertp/PicoLM-80M-Instruct

Ollama
How to use aethertp/PicoLM-80M-Instruct with Ollama:
```
ollama run hf.co/aethertp/PicoLM-80M-Instruct
```
Unsloth Desktop
Docker Model Runner
How to use aethertp/PicoLM-80M-Instruct with Docker Model Runner:
```
docker model run hf.co/aethertp/PicoLM-80M-Instruct
```

Lemonade

How to use aethertp/PicoLM-80M-Instruct with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull aethertp/PicoLM-80M-Instruct

Run and chat with the model

lemonade run user.PicoLM-80M-Instruct-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

aethertp commited on 17 days ago

Commit

ee9fbde

verified ·

1 Parent(s): 676985f

Upload config.json with huggingface_hub

Browse files

Files changed (1) hide show

config.json +2 -6

config.json CHANGED Viewed

@@ -1,12 +1,8 @@
 {
   "architectures": [
-    "PicoLMForCausalLM"
   ],
-  "model_type": "picolm",
-  "auto_map": {
-    "AutoConfig": "configuration_picolm.PicoLMConfig",
-    "AutoModelForCausalLM": "modeling_picolm.PicoLMForCausalLM"
-  },
   "vocab_size": 16384,
   "hidden_size": 576,
   "num_hidden_layers": 20,

 {
   "architectures": [
+    "LlamaForCausalLM"
   ],
+  "model_type": "llama",
   "vocab_size": 16384,
   "hidden_size": 576,
   "num_hidden_layers": 20,