Text Generation
Transformers
Safetensors
mistral3
image-text-to-text
Merge
slerp
dfk-detection
vlm
text-classification
indonesian
multimodal
image-classification
content-moderation
conversational
Instructions to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aitf-its-tim3-dfk/ministral-8b-merged-ws3") 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("aitf-its-tim3-dfk/ministral-8b-merged-ws3") model = AutoModelForMultimodalLM.from_pretrained("aitf-its-tim3-dfk/ministral-8b-merged-ws3") 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 aitf-its-tim3-dfk/ministral-8b-merged-ws3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aitf-its-tim3-dfk/ministral-8b-merged-ws3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aitf-its-tim3-dfk/ministral-8b-merged-ws3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/aitf-its-tim3-dfk/ministral-8b-merged-ws3
- SGLang
How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 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 "aitf-its-tim3-dfk/ministral-8b-merged-ws3" \ --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": "aitf-its-tim3-dfk/ministral-8b-merged-ws3", "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 "aitf-its-tim3-dfk/ministral-8b-merged-ws3" \ --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": "aitf-its-tim3-dfk/ministral-8b-merged-ws3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with Docker Model Runner:
docker model run hf.co/aitf-its-tim3-dfk/ministral-8b-merged-ws3
feat: model
Browse files- .gitattributes +3 -0
- adapter/adapter_config.json +3 -0
- adapter/adapter_model.safetensors +3 -0
- config.json +73 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +17 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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adapter/* filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter/adapter_config.json
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adapter/adapter_model.safetensors
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config.json
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{
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"architectures": [
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"Mistral3ForConditionalGeneration"
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],
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"bos_token_id": 1,
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"dtype": "float16",
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"eos_token_id": 2,
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"image_token_index": 10,
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"model_name": "unsloth/ministral-3-8b-base-2512",
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"model_type": "mistral3",
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"multimodal_projector_bias": false,
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"pad_token_id": 11,
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"projector_hidden_act": "gelu",
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"spatial_merge_size": 2,
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"text_config": {
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "float16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 262144,
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"model_type": "ministral3",
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"num_attention_heads": 32,
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"num_hidden_layers": 34,
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"num_key_value_heads": 8,
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"pad_token_id": 11,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"beta_fast": 32.0,
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"beta_slow": 1.0,
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"factor": 16.0,
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"llama_4_scaling_beta": 0.1,
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"mscale": 1.0,
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"mscale_all_dim": 1.0,
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"original_max_position_embeddings": 16384,
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"rope_theta": 1000000.0,
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"rope_type": "yarn",
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"type": "yarn"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"use_cache": true,
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"vocab_size": 131072
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.5.0",
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"unsloth_fixed": true,
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"unsloth_version": "2026.5.5",
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"vision_config": {
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"attention_dropout": 0.0,
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"dtype": "float16",
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"image_size": 1540,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "pixtral",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 14,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"vision_feature_layer": -1
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 262144,
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"pad_token_id": 11,
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"transformers_version": "5.5.0"
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1fb1ef1d39a9f1459dbc1b168f62db897618f198ef392ec3a300e2835532ecfe
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size 17836126560
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:577575622324b2e099e2648be26bdeb5e5815ffe66d7004e9e3ddbf421db6bf1
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size 17078110
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tokenizer_config.json
ADDED
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{
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"add_prefix_space": null,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"extra_special_tokens": [],
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"is_local": false,
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"model_max_length": 262144,
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"model_specific_special_tokens": {},
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"pad_token": "<pad>",
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"padding_side": "left",
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"processor_class": "PixtralProcessor",
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| 14 |
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"tokenizer_class": "TokenizersBackend",
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| 15 |
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"unk_token": "<unk>",
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| 16 |
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"use_default_system_prompt": false
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| 17 |
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}
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