Instructions to use mradermacher/Jan-nano-128k-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Jan-nano-128k-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Jan-nano-128k-GGUF", dtype="auto")

llama-cpp-python

How to use mradermacher/Jan-nano-128k-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/Jan-nano-128k-GGUF",
	filename="Jan-nano-128k.IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Jan-nano-128k-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mradermacher/Jan-nano-128k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/Jan-nano-128k-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mradermacher/Jan-nano-128k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/Jan-nano-128k-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 mradermacher/Jan-nano-128k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Jan-nano-128k-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 mradermacher/Jan-nano-128k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Jan-nano-128k-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Jan-nano-128k-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Jan-nano-128k-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Jan-nano-128k-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/Jan-nano-128k-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 mradermacher/Jan-nano-128k-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 mradermacher/Jan-nano-128k-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/Jan-nano-128k-GGUF to start chatting

How to use mradermacher/Jan-nano-128k-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf mradermacher/Jan-nano-128k-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mradermacher/Jan-nano-128k-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/Jan-nano-128k-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf mradermacher/Jan-nano-128k-GGUF: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 mradermacher/Jan-nano-128k-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use mradermacher/Jan-nano-128k-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Jan-nano-128k-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Jan-nano-128k-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Jan-nano-128k-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Jan-nano-128k-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Jun 25, 2025

Commit

12d4a36

verified ·

1 Parent(s): b793a87

uploaded from rich1

Browse files

Files changed (13) hide show

.gitattributes +12 -0
Jan-nano-128k.IQ4_XS.gguf +3 -0
Jan-nano-128k.Q2_K.gguf +3 -0
Jan-nano-128k.Q3_K_L.gguf +3 -0
Jan-nano-128k.Q3_K_M.gguf +3 -0
Jan-nano-128k.Q3_K_S.gguf +3 -0
Jan-nano-128k.Q4_K_M.gguf +3 -0
Jan-nano-128k.Q4_K_S.gguf +3 -0
Jan-nano-128k.Q5_K_M.gguf +3 -0
Jan-nano-128k.Q5_K_S.gguf +3 -0
Jan-nano-128k.Q6_K.gguf +3 -0
Jan-nano-128k.Q8_0.gguf +3 -0
Jan-nano-128k.f16.gguf +3 -0

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Jan-nano-128k.f16.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:e0e610a2fca308e89a1e19b035032e615d35da53c203beb87c79b3b938e611ab
+size 2286316704

+version https://git-lfs.github.com/spec/v1
+oid sha256:04c19ea996b0b827526a9ba4892629f94e68dafa42b086d5d42c0bf3e145b1e8
+size 1669500064

+version https://git-lfs.github.com/spec/v1
+oid sha256:d5156a8d60132ef1d378d02c95523bd2f4f8320ff800b6cee8907d16058f567b
+size 2239786144

+version https://git-lfs.github.com/spec/v1
+oid sha256:7f30a0dc2b0f12f2ba9acb6443e4a9cf5b56fea2a90997f91a81f4631c2d8ddb
+size 2075618464

+version https://git-lfs.github.com/spec/v1
+oid sha256:a4e6b2ca5acad835741b8380c2d2d3177541988113cfb8e454a4cf68166b7bfd
+size 1886997664

+version https://git-lfs.github.com/spec/v1
+oid sha256:8d2934ce6a2466007a2f2f2b67b9560d4c6deb4ec62cbfb408e1edb2c1d2d129
+size 2497281184

+version https://git-lfs.github.com/spec/v1
+oid sha256:019b7e2da9c729b76010b7c51fc159f85eadebcd4c58744423740a62affb2928
+size 2383309984

+version https://git-lfs.github.com/spec/v1
+oid sha256:9b53e7c96696364c8c6fafa2560d7b6b3d2071ac6d130ddf48c6be17547df004
+size 2889514144

+version https://git-lfs.github.com/spec/v1
+oid sha256:fa7feaa01018080a48105db5bbd39349847c73e5281d5323e0d63be7686b9f7b
+size 2823711904

+version https://git-lfs.github.com/spec/v1
+oid sha256:c1cd65e6a9aff04b918726d0ec0d7c63beb1f3a9426e8e7c290103f38b361027
+size 3306261664

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:03044345aeb8eee4aa97aed15b6817ebaa550f3370e8281fbb05684231a9fb6c
+size 4280405664

+version https://git-lfs.github.com/spec/v1
+oid sha256:23c61053f9c3d90ee0075ec0ec910198ab1ef57fd16a04abc209626b37a4ec6b
+size 8051285664