Instructions to use ubergarm/DeepSeek-R1T-Chimera-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 ubergarm/DeepSeek-R1T-Chimera-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 ubergarm/DeepSeek-R1T-Chimera-GGUF
# Run inference directly in the terminal:
llama cli -hf ubergarm/DeepSeek-R1T-Chimera-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ubergarm/DeepSeek-R1T-Chimera-GGUF
# Run inference directly in the terminal:
llama cli -hf ubergarm/DeepSeek-R1T-Chimera-GGUF

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 ubergarm/DeepSeek-R1T-Chimera-GGUF
# Run inference directly in the terminal:
./llama-cli -hf ubergarm/DeepSeek-R1T-Chimera-GGUF

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 ubergarm/DeepSeek-R1T-Chimera-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ubergarm/DeepSeek-R1T-Chimera-GGUF

Use Docker

docker model run hf.co/ubergarm/DeepSeek-R1T-Chimera-GGUF

LM Studio
Jan

vLLM

How to use ubergarm/DeepSeek-R1T-Chimera-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ubergarm/DeepSeek-R1T-Chimera-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ubergarm/DeepSeek-R1T-Chimera-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ubergarm/DeepSeek-R1T-Chimera-GGUF

Ollama
How to use ubergarm/DeepSeek-R1T-Chimera-GGUF with Ollama:
```
ollama run hf.co/ubergarm/DeepSeek-R1T-Chimera-GGUF
```
Unsloth Desktop
Docker Model Runner
How to use ubergarm/DeepSeek-R1T-Chimera-GGUF with Docker Model Runner:
```
docker model run hf.co/ubergarm/DeepSeek-R1T-Chimera-GGUF
```

Lemonade

How to use ubergarm/DeepSeek-R1T-Chimera-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ubergarm/DeepSeek-R1T-Chimera-GGUF

Run and chat with the model

lemonade run user.DeepSeek-R1T-Chimera-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

ubergarm commited on Jul 10, 2025

Commit

7c82aeb

1 Parent(s): b7eb686

Note ik_llama.cpp can run your existing GGUFs too

Browse files

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README.md +2 -0

README.md CHANGED Viewed

@@ -15,6 +15,8 @@ tags:
 ## `ik_llama.cpp` imatrix Quantizations of tngtech/DeepSeek-R1T-Chimera
 This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support advanced non-linear SotA quants. Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio, KoboldCpp, etc!
 These quants provide best in class quality for the given memory footprint.
 ## Big Thanks

 ## `ik_llama.cpp` imatrix Quantizations of tngtech/DeepSeek-R1T-Chimera
 This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support advanced non-linear SotA quants. Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio, KoboldCpp, etc!
+*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants.
 These quants provide best in class quality for the given memory footprint.
 ## Big Thanks