Instructions to use karenstrike7777/easymodal-smollm2-135m-gguf-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use karenstrike7777/easymodal-smollm2-135m-gguf-test 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 karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf karenstrike7777/easymodal-smollm2-135m-gguf-test: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 karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf karenstrike7777/easymodal-smollm2-135m-gguf-test: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 karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M

Use Docker

docker model run hf.co/karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M

LM Studio
Jan
Ollama
How to use karenstrike7777/easymodal-smollm2-135m-gguf-test with Ollama:
```
ollama run hf.co/karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use karenstrike7777/easymodal-smollm2-135m-gguf-test with Docker Model Runner:
```
docker model run hf.co/karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M
```

Lemonade

How to use karenstrike7777/easymodal-smollm2-135m-gguf-test with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull karenstrike7777/easymodal-smollm2-135m-gguf-test:Q4_K_M

Run and chat with the model

lemonade run user.easymodal-smollm2-135m-gguf-test-Q4_K_M

List all available models

lemonade list

Atomic Chat

SmolLM2-135M-Instruct GGUF

Converted from HuggingFaceTB/SmolLM2-135M-Instruct at revision 12fd25f77366fa6b3b4b768ec3050bf629380bac.

Available formats: Q4_K_M.

Generated with llama.cpp b10448.

Downloads last month: 13

GGUF

Model size

0.1B params

Architecture

llama

Hardware compatibility

4-bit

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Model tree for karenstrike7777/easymodal-smollm2-135m-gguf-test

Base model

HuggingFaceTB/SmolLM2-135M

Quantized

HuggingFaceTB/SmolLM2-135M-Instruct

Quantized

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