Instructions to use KiwiMate/KiwiMate-Mini-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use KiwiMate/KiwiMate-Mini-1.0 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 KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf KiwiMate/KiwiMate-Mini-1.0:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf KiwiMate/KiwiMate-Mini-1.0: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 KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf KiwiMate/KiwiMate-Mini-1.0: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 KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf KiwiMate/KiwiMate-Mini-1.0:Q4_K_M

Use Docker

docker model run hf.co/KiwiMate/KiwiMate-Mini-1.0:Q4_K_M

LM Studio
Jan

vLLM

How to use KiwiMate/KiwiMate-Mini-1.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KiwiMate/KiwiMate-Mini-1.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KiwiMate/KiwiMate-Mini-1.0",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/KiwiMate/KiwiMate-Mini-1.0:Q4_K_M

Ollama
How to use KiwiMate/KiwiMate-Mini-1.0 with Ollama:
```
ollama run hf.co/KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use KiwiMate/KiwiMate-Mini-1.0 with Docker Model Runner:
```
docker model run hf.co/KiwiMate/KiwiMate-Mini-1.0:Q4_K_M
```

Lemonade

How to use KiwiMate/KiwiMate-Mini-1.0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull KiwiMate/KiwiMate-Mini-1.0:Q4_K_M

Run and chat with the model

lemonade run user.KiwiMate-Mini-1.0-Q4_K_M

List all available models

lemonade list

Atomic Chat

KiwiMate-Mini-1.0 / config.json

KiwiMate

Trained with Unsloth - config

e3de1ae verified about 1 month ago

Raw

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	{
	"architectures": [
	"Qwen2_5_VLForConditionalGeneration"
	],
	"attention_dropout": 0.0,
	"torch_dtype": "bfloat16",
	"eos_token_id": 151645,
	"hidden_act": "silu",
	"hidden_size": 2048,
	"image_token_id": 151655,
	"initializer_range": 0.02,
	"intermediate_size": 11008,
	"max_position_embeddings": 128000,
	"max_window_layers": 70,
	"model_name": "unsloth/qwen2.5-vl-3b-instruct-unsloth-bnb-4bit",
	"model_type": "qwen2_5_vl",
	"num_attention_heads": 16,
	"num_hidden_layers": 36,
	"num_key_value_heads": 2,
	"pad_token_id": 151654,
	"rms_norm_eps": 1e-06,
	"rope_scaling": {
	"mrope_section": [
	16,
	24,
	24
	],
	"rope_type": "default",
	"type": "default"
	},
	"rope_theta": 1000000.0,
	"sliding_window": 32768,
	"text_config": {
	"architectures": [
	"Qwen2_5_VLForConditionalGeneration"
	],
	"attention_dropout": 0.0,
	"torch_dtype": "bfloat16",
	"eos_token_id": 151645,
	"hidden_act": "silu",
	"hidden_size": 2048,
	"initializer_range": 0.02,
	"intermediate_size": 11008,
	"layer_types": [
	"full_attention",
	"full_attention",
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	"full_attention",
	"full_attention",
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	],
	"max_position_embeddings": 128000,
	"max_window_layers": 70,
	"model_type": "qwen2_5_vl_text",
	"num_attention_heads": 16,
	"num_hidden_layers": 36,
	"num_key_value_heads": 2,
	"pad_token_id": 151654,
	"rms_norm_eps": 1e-06,
	"rope_scaling": {
	"mrope_section": [
	16,
	24,
	24
	],
	"rope_type": "default",
	"type": "default"
	},
	"rope_theta": 1000000.0,
	"sliding_window": null,
	"tie_word_embeddings": true,
	"unsloth_fixed": true,
	"use_cache": false,
	"use_sliding_window": false,
	"vision_token_id": 151654,
	"vocab_size": 151936
	},
	"unsloth_fixed": true,
	"unsloth_version": "2026.7.5",
	"use_cache": true,
	"use_sliding_window": false,
	"video_token_id": 151656,
	"vision_config": {
	"depth": 32,
	"torch_dtype": "bfloat16",
	"fullatt_block_indexes": [
	7,
	15,
	23,
	31
	],
	"hidden_act": "silu",
	"hidden_size": 1280,
	"in_channels": 3,
	"in_chans": 3,
	"initializer_range": 0.02,
	"intermediate_size": 3420,
	"model_type": "qwen2_5_vl",
	"num_heads": 16,
	"out_hidden_size": 2048,
	"patch_size": 14,
	"spatial_merge_size": 2,
	"spatial_patch_size": 14,
	"temporal_patch_size": 2,
	"tokens_per_second": 2,
	"window_size": 112
	},
	"vision_end_token_id": 151653,
	"vision_start_token_id": 151652,
	"vision_token_id": 151654,
	"vocab_size": 151936
	}