Instructions to use Lemonsion/DeepSeek-R1-traffic-COT-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Lemonsion/DeepSeek-R1-traffic-COT-4 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Lemonsion/DeepSeek-R1-traffic-COT-4", dtype="auto")

llama-cpp-python

How to use Lemonsion/DeepSeek-R1-traffic-COT-4 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Lemonsion/DeepSeek-R1-traffic-COT-4",
	filename="unsloth.Q8_0.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 Lemonsion/DeepSeek-R1-traffic-COT-4 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

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 Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

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 Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

Use Docker

docker model run hf.co/Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

LM Studio
Jan
Ollama
How to use Lemonsion/DeepSeek-R1-traffic-COT-4 with Ollama:
```
ollama run hf.co/Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
```

Unsloth Studio new

How to use Lemonsion/DeepSeek-R1-traffic-COT-4 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 Lemonsion/DeepSeek-R1-traffic-COT-4 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 Lemonsion/DeepSeek-R1-traffic-COT-4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Lemonsion/DeepSeek-R1-traffic-COT-4 to start chatting

Docker Model Runner
How to use Lemonsion/DeepSeek-R1-traffic-COT-4 with Docker Model Runner:
```
docker model run hf.co/Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0
```

Lemonade

How to use Lemonsion/DeepSeek-R1-traffic-COT-4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lemonsion/DeepSeek-R1-traffic-COT-4:Q8_0

Run and chat with the model

lemonade run user.DeepSeek-R1-traffic-COT-4-Q8_0

List all available models

lemonade list

Lemonsion commited on Apr 11, 2025

Commit

703dc8e

verified ·

1 Parent(s): 47888e6

Trained with Unsloth

Browse files

Files changed (4) hide show

README.md +2 -0
config.json +32 -0
generation_config.json +11 -0
pytorch_model.bin +3 -0

README.md CHANGED Viewed

@@ -2,6 +2,8 @@
 library_name: transformers
 tags:
 - unsloth
 ---
 # Model Card for Model ID

 library_name: transformers
 tags:
 - unsloth
+- trl
+- sft
 ---
 # Model Card for Model ID

config.json ADDED Viewed

	@@ -0,0 +1,32 @@

+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151646,
+  "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,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.50.3",
+  "unsloth_fixed": true,
+  "unsloth_version": "2025.3.19",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,11 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "do_sample": true,
+  "eos_token_id": 151643,
+  "max_length": 131072,
+  "pad_token_id": 151654,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.50.3"
+}

pytorch_model.bin ADDED Viewed

	@@ -0,0 +1,3 @@

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