Instructions to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF")
model = AutoModelForCausalLM.from_pretrained("second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF")

llama-cpp-python

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
	filename="DeepSeek-R1-Distill-Qwen-1.5B-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/DeepSeek-R1-Distill-Qwen-1.5B-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 second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/DeepSeek-R1-Distill-Qwen-1.5B-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 second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf second-state/DeepSeek-R1-Distill-Qwen-1.5B-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 second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "second-state/DeepSeek-R1-Distill-Qwen-1.5B-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": "second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

SGLang

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Ollama:
```
ollama run hf.co/second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
```

Unsloth Studio

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-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 second-state/DeepSeek-R1-Distill-Qwen-1.5B-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 second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF to start chatting

Docker Model Runner
How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
```

Lemonade

How to use second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull second-state/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-GGUF-Q4_K_M

List all available models

lemonade list

apepkuss79 commited on Jan 28, 2025

Commit

13e0d59

verified ·

1 Parent(s): a10d240

Update models

Browse files

Files changed (15) hide show

.gitattributes +13 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q2_K.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_L.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q4_0.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_S.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q5_0.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_M.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_S.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q6_K.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-Q8_0.gguf +3 -0
DeepSeek-R1-Distill-Qwen-1.5B-f16.gguf +3 -0
config.json +28 -0

@@ -33,3 +33,16 @@ 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
+DeepSeek-R1-Distill-Qwen-1.5B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Distill-Qwen-1.5B-f16.gguf filter=lfs diff=lfs merge=lfs -text

+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

+version https://git-lfs.github.com/spec/v1
+oid sha256:ef2fad904c270c919ef5b599d7a40e7301ec067c90f519739299a2a8bb3b3bf6
+size 752879968

+version https://git-lfs.github.com/spec/v1
+oid sha256:0fca5f19e0b9e757895e98f23e82d896f55372cd51dea1daf6d6806b685825fa
+size 980439904

+version https://git-lfs.github.com/spec/v1
+oid sha256:0b34867f5d0df299f828f9557425b24ccae8162e60e283eac099d7f216fac56d
+size 924455776

+version https://git-lfs.github.com/spec/v1
+oid sha256:9ab0765bef785747347147f36de56c1321162a65cd0d864932b950a095ae3871
+size 861221728

+version https://git-lfs.github.com/spec/v1
+oid sha256:2ff835372cf76ec644be7733b11a0fd9b875b7ff5249d38b24760012415bf3be
+size 1066227040

+version https://git-lfs.github.com/spec/v1
+oid sha256:1d6995d3b87610c40874a81f20d3c188235ea281324e9f5a9ba52274c530da61
+size 1117320544

+version https://git-lfs.github.com/spec/v1
+oid sha256:cb3cc4af5e4821d9ea8b9b9358a0fdc70b5825d4ecd8140ca046294b809906ed
+size 1071584608

+version https://git-lfs.github.com/spec/v1
+oid sha256:e60648346bc87df5a2ee5b06b1caf9b3bfa50d0d20abecf8ef180d78a0db77c3
+size 1259173216

+version https://git-lfs.github.com/spec/v1
+oid sha256:b98429b4e04a008df33077f818d3d4469fb2902066520d3d4c10a6aa92e0c24c
+size 1285494112

+version https://git-lfs.github.com/spec/v1
+oid sha256:c64e11ba60210d14311ce91b9fa62938b5f73fe4fb863b554077f820d54d1e4f
+size 1464178528

	@@ -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 sha256:0b2d8b13e948a20d836e9de919cb642bd76921ac70bb5c9f66d58e9df4f0d044
+size 1894531936

+version https://git-lfs.github.com/spec/v1
+oid sha256:855f80dc0dbf54700d4b6928fe6e866d1bf1c0a4e92569087b66e5d6516e16a8
+size 3560416096