Instructions to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/HuggingFace-Model-ICH-V4-GGUF", dtype="auto")

llama-cpp-python

How to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/HuggingFace-Model-ICH-V4-GGUF",
	filename="HuggingFace-Model-ICH-V4.IQ4_XS.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with Ollama:
```
ollama run hf.co/mradermacher/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF to start chatting

How to use mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-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/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/HuggingFace-Model-ICH-V4-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/HuggingFace-Model-ICH-V4-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.HuggingFace-Model-ICH-V4-GGUF-Q4_K_M

List all available models

lemonade list

mradermacher commited on Dec 15, 2025

Commit

7c046ab

verified ·

1 Parent(s): 66c7529

uploaded from leia

Browse files

Files changed (13) hide show

.gitattributes +12 -0
HuggingFace-Model-ICH-V4.IQ4_XS.gguf +3 -0
HuggingFace-Model-ICH-V4.Q2_K.gguf +3 -0
HuggingFace-Model-ICH-V4.Q3_K_L.gguf +3 -0
HuggingFace-Model-ICH-V4.Q3_K_M.gguf +3 -0
HuggingFace-Model-ICH-V4.Q3_K_S.gguf +3 -0
HuggingFace-Model-ICH-V4.Q4_K_M.gguf +3 -0
HuggingFace-Model-ICH-V4.Q4_K_S.gguf +3 -0
HuggingFace-Model-ICH-V4.Q5_K_M.gguf +3 -0
HuggingFace-Model-ICH-V4.Q5_K_S.gguf +3 -0
HuggingFace-Model-ICH-V4.Q6_K.gguf +3 -0
HuggingFace-Model-ICH-V4.Q8_0.gguf +3 -0
HuggingFace-Model-ICH-V4.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
+HuggingFace-Model-ICH-V4.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+HuggingFace-Model-ICH-V4.f16.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:ca0e76fefece04e5220edb216100c1743dbdacd6bc3b98ec022dcf344599d66c
+size 748384928

+version https://git-lfs.github.com/spec/v1
+oid sha256:14d5c2d6225f2a7c5c3265e730872257af8fb25a656791850ba3ce80beb6a135
+size 580874912

+version https://git-lfs.github.com/spec/v1
+oid sha256:d2c49afca79d0cc201d6f83b615cd674bd02c9750c30c4cac1d86a1ca82b8537
+size 732525216

+version https://git-lfs.github.com/spec/v1
+oid sha256:5a048944d408f00c91480b2271aa49e99642b038bdbc5f3817ab7f75f818700b
+size 690844320

+version https://git-lfs.github.com/spec/v1
+oid sha256:282e36fe59825232ad656d2d863f069d23b6d7f9e4124a365a850eb422ad1405
+size 641692320

+version https://git-lfs.github.com/spec/v1
+oid sha256:2f6372fbf3652793435c8714b2c9bee5c605f98a23f5b0b7350cbb1f56799200
+size 807695008

+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b90846fad01c083d0004d65ea1b13c8905392ef020c501859f57e9ba2ad3f0
+size 775647904

+version https://git-lfs.github.com/spec/v1
+oid sha256:b9fb120466b307a2f85d5f3532722964280bea2a3e9da61c297c8570388dcbcb
+size 911504032

+version https://git-lfs.github.com/spec/v1
+oid sha256:fff553c6982bf77e4a424fcfc27956e508f46900f942a692171118800353a780
+size 892564128

+version https://git-lfs.github.com/spec/v1
+oid sha256:bc4f986015d54c11b0ad45c9b245a44ae170681af13e5ea08eca0ae884ea5dbf
+size 1021801120

	@@ -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:b31ed5f2ffaefe71369b70f9761f2347cabb3ddc92770e5d431351b52ced9086
+size 1321083552

+version https://git-lfs.github.com/spec/v1
+oid sha256:987f5de47fe76cae9706f9e1177e6e47cb9bcc831cb30808050250fc07eeabc6
+size 2479596192