Instructions to use ViorikaAI-org/CalmaCatCoder-Next-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ViorikaAI-org/CalmaCatCoder-Next-mini with Transformers:

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

pipe = pipeline("text-generation", model="ViorikaAI-org/CalmaCatCoder-Next-mini")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ViorikaAI-org/CalmaCatCoder-Next-mini")
model = AutoModelForCausalLM.from_pretrained("ViorikaAI-org/CalmaCatCoder-Next-mini", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ViorikaAI-org/CalmaCatCoder-Next-mini 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 ViorikaAI-org/CalmaCatCoder-Next-mini:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-Next-mini:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ViorikaAI-org/CalmaCatCoder-Next-mini:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-Next-mini:F16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf ViorikaAI-org/CalmaCatCoder-Next-mini:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf ViorikaAI-org/CalmaCatCoder-Next-mini:F16

Use Docker

docker model run hf.co/ViorikaAI-org/CalmaCatCoder-Next-mini:F16

Llama new
LM Studio
Jan

vLLM

How to use ViorikaAI-org/CalmaCatCoder-Next-mini with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ViorikaAI-org/CalmaCatCoder-Next-mini:F16

SGLang

How to use ViorikaAI-org/CalmaCatCoder-Next-mini 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 "ViorikaAI-org/CalmaCatCoder-Next-mini" \
    --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": "ViorikaAI-org/CalmaCatCoder-Next-mini",
		"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 "ViorikaAI-org/CalmaCatCoder-Next-mini" \
        --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": "ViorikaAI-org/CalmaCatCoder-Next-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use ViorikaAI-org/CalmaCatCoder-Next-mini with Ollama:
```
ollama run hf.co/ViorikaAI-org/CalmaCatCoder-Next-mini:F16
```
Unsloth Desktop
Docker Model Runner
How to use ViorikaAI-org/CalmaCatCoder-Next-mini with Docker Model Runner:
```
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-Next-mini:F16
```

Lemonade

How to use ViorikaAI-org/CalmaCatCoder-Next-mini with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ViorikaAI-org/CalmaCatCoder-Next-mini:F16

Run and chat with the model

lemonade run user.CalmaCatCoder-Next-mini-F16

List all available models

lemonade list

Atomic Chat

Dmitriy-Zemskov commited on Oct 1

Commit

1a68f14

verified ·

1 Parent(s): 1138e7e

Upload 6 files

Browse files

Files changed (6) hide show

chat_template.jinja +1 -0
config.json +49 -0
generation_config.json +8 -0
model.safetensors +3 -0
tokenizer.json +314 -0
tokenizer_config.json +10 -0

chat_template.jinja ADDED Viewed

	@@ -0,0 +1 @@

+ {%- if messages and messages[0].role == 'system' -%}{%- set sys = messages[0].content -%}{%- set msgs = messages[1:] -%}{%- else -%}{%- set sys = "You are CalmaCatCoder-Next, a calm and friendly cat-themed coding assistant. You explain things step by step and say so when you are not sure." -%}{%- set msgs = messages -%}{%- endif -%}{{- '<|im_start|>system\n' + sys + '<|im_end|>\n' -}}{%- for m in msgs -%}{{- '<|im_start|>' + m.role + '\n' + (m.content | trim) + '<|im_end|>\n' -}}{%- endfor -%}{%- if add_generation_prompt -%}{{- '<|im_start|>assistant\n' -}}{%- endif -%}

config.json ADDED Viewed

	@@ -0,0 +1,49 @@

+{
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+    "Qwen3ForCausalLM"
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+  "transformers_version": "5.17.0",
+  "use_cache": true,
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+  "vocab_size": 256
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+  "do_sample": true,
+  "max_new_tokens": 400,
+  "pad_token_id": 0,
+  "temperature": 0.7,
+  "top_k": 40,
+  "transformers_version": "5.17.0"
+}

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tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+  "backend": "tokenizers",
+  "clean_up_tokenization_spaces": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 1024,
+  "tokenizer_class": "TokenizersBackend"
+}