Instructions to use meshllm/DeepSeek-R1-Q4_K_M-layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use meshllm/DeepSeek-R1-Q4_K_M-layers 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 meshllm/DeepSeek-R1-Q4_K_M-layers
# Run inference directly in the terminal:
llama cli -hf meshllm/DeepSeek-R1-Q4_K_M-layers

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf meshllm/DeepSeek-R1-Q4_K_M-layers
# Run inference directly in the terminal:
llama cli -hf meshllm/DeepSeek-R1-Q4_K_M-layers

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 meshllm/DeepSeek-R1-Q4_K_M-layers
# Run inference directly in the terminal:
./llama-cli -hf meshllm/DeepSeek-R1-Q4_K_M-layers

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 meshllm/DeepSeek-R1-Q4_K_M-layers
# Run inference directly in the terminal:
./build/bin/llama-cli -hf meshllm/DeepSeek-R1-Q4_K_M-layers

Use Docker

docker model run hf.co/meshllm/DeepSeek-R1-Q4_K_M-layers

LM Studio
Jan

vLLM

How to use meshllm/DeepSeek-R1-Q4_K_M-layers with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "meshllm/DeepSeek-R1-Q4_K_M-layers"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "meshllm/DeepSeek-R1-Q4_K_M-layers",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/meshllm/DeepSeek-R1-Q4_K_M-layers

Ollama
How to use meshllm/DeepSeek-R1-Q4_K_M-layers with Ollama:
```
ollama run hf.co/meshllm/DeepSeek-R1-Q4_K_M-layers
```

Unsloth Studio

How to use meshllm/DeepSeek-R1-Q4_K_M-layers 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 meshllm/DeepSeek-R1-Q4_K_M-layers 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 meshllm/DeepSeek-R1-Q4_K_M-layers to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for meshllm/DeepSeek-R1-Q4_K_M-layers to start chatting

Docker Model Runner
How to use meshllm/DeepSeek-R1-Q4_K_M-layers with Docker Model Runner:
```
docker model run hf.co/meshllm/DeepSeek-R1-Q4_K_M-layers
```

Lemonade

How to use meshllm/DeepSeek-R1-Q4_K_M-layers with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull meshllm/DeepSeek-R1-Q4_K_M-layers

Run and chat with the model

lemonade run user.DeepSeek-R1-Q4_K_M-layers-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

jamesdumay commited on May 11

Commit

95e4f15

verified ·

1 Parent(s): 61cb4e9

Queue layer package for unsloth/DeepSeek-R1-GGUF:DeepSeek-R1-Q4_K_M

Browse files

Files changed (1) hide show

automation/queue.json +3 -3

automation/queue.json CHANGED Viewed

@@ -1,13 +1,13 @@
 {
   "schema_version": 1,
-  "queued_at": "2026-05-08T21:33:13.323775276+00:00",
   "source_repo": "unsloth/DeepSeek-R1-GGUF",
   "source_file": "DeepSeek-R1-Q4_K_M/DeepSeek-R1-Q4_K_M-00001-of-00009.gguf",
   "quant": "Q4_K_M",
   "target_repo": "meshllm/DeepSeek-R1-Q4_K_M-layers",
   "model_id": "unsloth/DeepSeek-R1-GGUF:DeepSeek-R1-Q4_K_M",
   "mesh_llm_ref": "main",
-  "github_run_url": "https://github.com/Mesh-LLM/mesh-llm/actions/runs/25580536970",
   "recent_rank": null,
-  "popular_rank": 36
 }

 {
   "schema_version": 1,
+  "queued_at": "2026-05-11T08:11:44.635085906+00:00",
   "source_repo": "unsloth/DeepSeek-R1-GGUF",
   "source_file": "DeepSeek-R1-Q4_K_M/DeepSeek-R1-Q4_K_M-00001-of-00009.gguf",
   "quant": "Q4_K_M",
   "target_repo": "meshllm/DeepSeek-R1-Q4_K_M-layers",
   "model_id": "unsloth/DeepSeek-R1-GGUF:DeepSeek-R1-Q4_K_M",
   "mesh_llm_ref": "main",
+  "github_run_url": "https://github.com/Mesh-LLM/mesh-llm/actions/runs/25658218082",
   "recent_rank": null,
+  "popular_rank": 37
 }