Instructions to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF",
	filename="D-IQ4_KS_R4/DeepSeek-TNG-R1T2-Chimera-D-IQ4_KS_R4-00001-of-00009.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 Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
# Run inference directly in the terminal:
llama-cli -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
# Run inference directly in the terminal:
llama-cli -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

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 Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
# Run inference directly in the terminal:
./llama-cli -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

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 Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

Use Docker

docker model run hf.co/Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

LM Studio
Jan
Ollama
How to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with Ollama:
```
ollama run hf.co/Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
```

Unsloth Studio new

How to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_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 Kebob/DeepSeek-TNG-R1T2-Chimera-IK_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 Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF to start chatting

Docker Model Runner
How to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with Docker Model Runner:
```
docker model run hf.co/Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R
```

Lemonade

How to use Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF:IQ4_XS_R

Run and chat with the model

lemonade run user.DeepSeek-TNG-R1T2-Chimera-IK_GGUF-IQ4_XS_R

List all available models

lemonade list

`ik_llama.cpp` quantizations of DeepSeek-TNG-R1T2-Chimera

Quantized using ik_llama.cpp build = 3788 (4622fadc)

NOTE: These quants MUST be run using the llama.cpp fork, ik_llama.cpp

Credits to @ubergarm for his DeepSeek quant recipes for which these quants were based on.

Please check out his repo for smaller quants with imatrix: https://huggingface.co/ubergarm/DeepSeek-TNG-R1T2-Chimera-GGUF

name	file size	quant type	bpw
DeepSeek-TNG-R1T2-Chimera-IQ4_XS_R8	340.764 GiB	`IQ4_XS_R8` (97.5%) / `Q8_0` (2.5%)	4.362
DeepSeek-TNG-R1T2-Chimera-D-IQ4_KS_R4	366.762 GiB	`IQ4_KS_R4` (65%) / `IQ5_KS_R4` (32.5%) / `Q8_0` (2.5%)	4.695
DeepSeek-TNG-R1T2-Chimera-D-Q4_K_R4	412.131 GiB	`Q4_K_R4` (65%) / `Q6_K_R4` (32.5%) / `Q8_0` (2.5%)	5.276

Downloads last month: 2

GGUF

Model size

671B params

Architecture

deepseek2

Hardware compatibility

4-bit

Inference Providers NEW

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Model tree for Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF

Base model

tngtech/DeepSeek-TNG-R1T2-Chimera

Quantized

(7)

this model

ik_llama.cpp quantizations of DeepSeek-TNG-R1T2-Chimera

Model tree for Kebob/DeepSeek-TNG-R1T2-Chimera-IK_GGUF

`ik_llama.cpp` quantizations of DeepSeek-TNG-R1T2-Chimera