Instructions to use mattritchey/next-1b-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use mattritchey/next-1b-Q4_K_M-GGUF 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 mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mattritchey/next-1b-Q4_K_M-GGUF: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 mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mattritchey/next-1b-Q4_K_M-GGUF: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 mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use mattritchey/next-1b-Q4_K_M-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mattritchey/next-1b-Q4_K_M-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mattritchey/next-1b-Q4_K_M-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M

Ollama
How to use mattritchey/next-1b-Q4_K_M-GGUF with Ollama:
```
ollama run hf.co/mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
```

Unsloth Studio

How to use mattritchey/next-1b-Q4_K_M-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for mattritchey/next-1b-Q4_K_M-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for mattritchey/next-1b-Q4_K_M-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mattritchey/next-1b-Q4_K_M-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mattritchey/next-1b-Q4_K_M-GGUF with Docker Model Runner:
```
docker model run hf.co/mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M
```

Lemonade

How to use mattritchey/next-1b-Q4_K_M-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mattritchey/next-1b-Q4_K_M-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.next-1b-Q4_K_M-GGUF-Q4_K_M

List all available models

lemonade list

mattritchey commited on Oct 21, 2025

Commit

ebbc98a

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1 Parent(s): ebd53ff

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+---
+language:
+- tr
+- ar
+- af
+- az
+- es
+- en
+- el
+- ro
+- ru
+- rm
+- th
+- uk
+- uz
+- pl
+- pt
+- fa
+- sk
+- sl
+- da
+- de
+- nl
+- fr
+- fi
+- ka
+- hi
+- hu
+- hy
+- ja
+- kk
+- kn
+- ko
+- ku
+- ky
+- la
+- lb
+- id
+- is
+- it
+- zh
+- cs
+- vi
+- be
+- bg
+- bs
+- ne
+- mn
+license: mit
+tags:
+- turkish
+- türkiye
+- english
+- ai
+- lamapi
+- gemma3
+- next
+- next-x1
+- efficient
+- text-generation
+- open-source
+- 1b
+- huggingface
+- large-language-model
+- llm
+- causal
+- transformer
+- artificial-intelligence
+- machine-learning
+- ai-research
+- natural-language-processing
+- nlp
+- finetuned
+- lightweight
+- creative
+- summarization
+- question-answering
+- chat-model
+- generative-ai
+- optimized-model
+- unsloth
+- trl
+- sft
+- chemistry
+- biology
+- finance
+- legal
+- music
+- art
+- code
+- climate
+- medical
+- agent
+- text-generation-inference
+- llama-cpp
+- gguf-my-repo
+pipeline_tag: text-generation
+base_model: Lamapi/next-1b
+---
+# mattritchey/next-1b-Q4_K_M-GGUF
+This model was converted to GGUF format from [`Lamapi/next-1b`](https://huggingface.co/Lamapi/next-1b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/Lamapi/next-1b) for more details on the model.
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+```bash
+brew install llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+### CLI:
+```bash
+llama-cli --hf-repo mattritchey/next-1b-Q4_K_M-GGUF --hf-file next-1b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo mattritchey/next-1b-Q4_K_M-GGUF --hf-file next-1b-q4_k_m.gguf -c 2048
+```
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo mattritchey/next-1b-Q4_K_M-GGUF --hf-file next-1b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo mattritchey/next-1b-Q4_K_M-GGUF --hf-file next-1b-q4_k_m.gguf -c 2048
+```