Instructions to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded with Transformers:

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

pipe = pipeline("image-text-to-text", model="hnuka/BEST-Ministral-8B-DFK-Base-Sharded")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("hnuka/BEST-Ministral-8B-DFK-Base-Sharded")
model = AutoModelForMultimodalLM.from_pretrained("hnuka/BEST-Ministral-8B-DFK-Base-Sharded")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hnuka/BEST-Ministral-8B-DFK-Base-Sharded"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hnuka/BEST-Ministral-8B-DFK-Base-Sharded",
		"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/hnuka/BEST-Ministral-8B-DFK-Base-Sharded

SGLang

How to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded 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 "hnuka/BEST-Ministral-8B-DFK-Base-Sharded" \
    --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": "hnuka/BEST-Ministral-8B-DFK-Base-Sharded",
		"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 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 "hnuka/BEST-Ministral-8B-DFK-Base-Sharded" \
        --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": "hnuka/BEST-Ministral-8B-DFK-Base-Sharded",
		"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"
						}
					}
				]
			}
		]
	}'

Unsloth Studio

How to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded 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 hnuka/BEST-Ministral-8B-DFK-Base-Sharded 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 hnuka/BEST-Ministral-8B-DFK-Base-Sharded to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for hnuka/BEST-Ministral-8B-DFK-Base-Sharded to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="hnuka/BEST-Ministral-8B-DFK-Base-Sharded",
    max_seq_length=2048,
)

Docker Model Runner
How to use hnuka/BEST-Ministral-8B-DFK-Base-Sharded with Docker Model Runner:
```
docker model run hf.co/hnuka/BEST-Ministral-8B-DFK-Base-Sharded
```

hnuka commited on Jun 6

Commit

af6e148

verified ·

1 Parent(s): f8e8afb

(Trained with Unsloth)

Browse files

Files changed (7) hide show

.gitattributes +1 -0
chat_template.jinja +17 -0
config.json +73 -0
generation_config.json +7 -0
processor_config.json +32 -0
tokenizer.json +3 -0
tokenizer_config.json +0 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,17 @@

+{#- Begin of sequence token. -#}
+{{- bos_token }}
+{#- Handle system prompt jika ada. -#}
+{%- if messages[0]['role'] == 'system' %}
+    {{- '[SYSTEM_PROMPT]' + messages[0]['content'] + '[/SYSTEM_PROMPT]' }}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{#- Handle iterasi untuk User dan Assistant -#}
+{%- for message in loop_messages %}
+    {%- if message['role'] == 'user' %}
+        {{- '[INST]' + message['content'] + '[/INST]' }}
+    {%- elif message['role'] == 'assistant' %}
+        {{- message['content'] + eos_token }}
+    {%- endif %}
+{%- endfor %}

config.json ADDED Viewed

	@@ -0,0 +1,73 @@

+{
+    "architectures": [
+        "Mistral3ForConditionalGeneration"
+    ],
+    "bos_token_id": 1,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 2,
+    "image_token_index": 10,
+    "model_name": "unsloth/ministral-3-8b-base-2512-unsloth-bnb-4bit",
+    "model_type": "mistral3",
+    "multimodal_projector_bias": false,
+    "pad_token_id": 11,
+    "projector_hidden_act": "gelu",
+    "spatial_merge_size": 2,
+    "text_config": {
+        "attention_dropout": 0.0,
+        "bos_token_id": 1,
+        "torch_dtype": "bfloat16",
+        "eos_token_id": 2,
+        "head_dim": 128,
+        "hidden_act": "silu",
+        "hidden_size": 4096,
+        "initializer_range": 0.02,
+        "intermediate_size": 14336,
+        "max_position_embeddings": 262144,
+        "model_type": "ministral3",
+        "num_attention_heads": 32,
+        "num_hidden_layers": 34,
+        "num_key_value_heads": 8,
+        "pad_token_id": 11,
+        "rms_norm_eps": 1e-05,
+        "rope_parameters": {
+            "beta_fast": 32.0,
+            "beta_slow": 1.0,
+            "factor": 16.0,
+            "llama_4_scaling_beta": 0.1,
+            "mscale": 1.0,
+            "mscale_all_dim": 1.0,
+            "original_max_position_embeddings": 16384,
+            "rope_theta": 1000000.0,
+            "rope_type": "yarn",
+            "type": "yarn"
+        },
+        "sliding_window": null,
+        "tie_word_embeddings": false,
+        "use_cache": true,
+        "vocab_size": 131072
+    },
+    "tie_word_embeddings": false,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.6.1",
+    "use_cache": false,
+    "vision_config": {
+        "attention_dropout": 0.0,
+        "torch_dtype": "bfloat16",
+        "head_dim": 64,
+        "hidden_act": "silu",
+        "hidden_size": 1024,
+        "image_size": 1540,
+        "initializer_range": 0.02,
+        "intermediate_size": 4096,
+        "model_type": "pixtral",
+        "num_attention_heads": 16,
+        "num_channels": 3,
+        "num_hidden_layers": 24,
+        "patch_size": 14,
+        "rope_parameters": {
+            "rope_theta": 10000.0,
+            "rope_type": "default"
+        }
+    },
+    "vision_feature_layer": -1
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 262144,
+  "pad_token_id": 11,
+  "transformers_version": "5.5.0"
+}

processor_config.json ADDED Viewed

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

+{
+  "image_break_token": "[IMG_BREAK]",
+  "image_end_token": "[IMG_END]",
+  "image_processor": {
+    "data_format": "channels_first",
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.48145466,
+      0.4578275,
+      0.40821073
+    ],
+    "image_processor_type": "PixtralImageProcessor",
+    "image_std": [
+      0.26862954,
+      0.26130258,
+      0.27577711
+    ],
+    "patch_size": 14,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "longest_edge": 1540
+    }
+  },
+  "image_token": "[IMG]",
+  "patch_size": 14,
+  "processor_class": "PixtralProcessor",
+  "spatial_merge_size": 2
+}

tokenizer.json ADDED Viewed

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

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+oid sha256:06dfd962d16c039a3b55b7a02f88040b252b0e8d68516a3324b24febcfff721a
+size 17078364

tokenizer_config.json ADDED Viewed

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