Image-Text-to-Text
Transformers
Safetensors
inkling2
conversational
Mixture of Experts
8-bit precision
Instructions to use thinkingmachines/Inkling-2-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thinkingmachines/Inkling-2-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="thinkingmachines/Inkling-2-Small") 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)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thinkingmachines/Inkling-2-Small") model = AutoModelForMultimodalLM.from_pretrained("thinkingmachines/Inkling-2-Small", device_map="auto") 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=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use thinkingmachines/Inkling-2-Small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "thinkingmachines/Inkling-2-Small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "thinkingmachines/Inkling-2-Small", "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/thinkingmachines/Inkling-2-Small
- SGLang
How to use thinkingmachines/Inkling-2-Small 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 "thinkingmachines/Inkling-2-Small" \ --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": "thinkingmachines/Inkling-2-Small", "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 "thinkingmachines/Inkling-2-Small" \ --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": "thinkingmachines/Inkling-2-Small", "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" } } ] } ] }' - Docker Model Runner
How to use thinkingmachines/Inkling-2-Small with Docker Model Runner:
docker model run hf.co/thinkingmachines/Inkling-2-Small
Download config.json from thinkingmachines/Inkling-2-Small: direct link, hf CLI and curl.
- Browser
- Download file 2.68 kB
-
https://huggingface.co/thinkingmachines/Inkling-2-Small/resolve/main/config.json
- Command line
-
hf download hf://thinkingmachines/Inkling-2-Small/config.json
-
curl -L -o config.json https://huggingface.co/thinkingmachines/Inkling-2-Small/resolve/main/config.json
2.68 kB
| { | |
| "architectures": [ | |
| "Inkling2ForConditionalGeneration" | |
| ], | |
| "model_type": "inkling2", | |
| "eos_token_id": 200006, | |
| "text_config": { | |
| "model_max_length": 1048576, | |
| "torch_dtype": "bfloat16", | |
| "hidden_size": 4608, | |
| "num_hidden_layers": 48, | |
| "vocab_size": 201024, | |
| "num_attention_heads": 48, | |
| "num_key_value_heads": 8, | |
| "head_dim": 128, | |
| "d_rel": 16, | |
| "rel_extent": 1024, | |
| "q_bias": false, | |
| "o_bias": false, | |
| "log_scaling_n_floor": 128000, | |
| "log_scaling_alpha": 0.1, | |
| "rms_norm_eps": 1e-06, | |
| "pre_norm_pre_affine": false, | |
| "final_norm_pre_affine": false, | |
| "use_value_norm_no_gamma": true, | |
| "qk_l2_clip_threshold": 22.627416997969522, | |
| "rel_l2_clip_threshold": 8.0, | |
| "local_layer_ids": [ | |
| 0, | |
| 1, | |
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| 46 | |
| ], | |
| "sconv_kernel_size": 4, | |
| "unpadded_vocab_size": 200058, | |
| "final_logit_softcapping": 30.0, | |
| "swa_head_dim": 128, | |
| "swa_num_attention_heads": 48, | |
| "swa_num_key_value_heads": 8, | |
| "sliding_window_size": 1024, | |
| "n_layers_per_attn_res_block": 6, | |
| "attn_res_normalize_values": true, | |
| "n_routed_experts": 384, | |
| "num_experts_per_tok": 8, | |
| "n_shared_experts": 0, | |
| "intermediate_size": 2304, | |
| "mlp_gate_softcap": 4.0, | |
| "mlp_up_softcap": 25.0, | |
| "route_scale": 8.0, | |
| "use_gate_bias": true | |
| }, | |
| "vision_config": { | |
| "temporal_patch_size": 2, | |
| "native_patch_size": 20, | |
| "adapter_merge_size": 2, | |
| "projection_hidden_dim": 4096, | |
| "projector_bias": false, | |
| "hidden_size": 1024, | |
| "num_hidden_layers": 23, | |
| "num_attention_heads": 16, | |
| "mlp_ratio": 4.0, | |
| "posemb_grid_size": 32, | |
| "layer_norm_eps": 1e-05 | |
| }, | |
| "mtp_config": { | |
| "hidden_size": 4608, | |
| "num_hidden_layers": 5, | |
| "num_attention_heads": 48, | |
| "num_key_value_heads": 8, | |
| "head_dim": 128, | |
| "intermediate_size": 18432, | |
| "max_position_embeddings": 1048576, | |
| "torch_dtype": "bfloat16", | |
| "q_bias": false, | |
| "o_bias": false, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "local_layer_ids": [ | |
| 0, | |
| 1, | |
| 3, | |
| 4 | |
| ], | |
| "sliding_window_size": 1024, | |
| "block_size": 8, | |
| "markov_rank": 256, | |
| "markov_head_type": "rnn_hidden", | |
| "target_layer_ids": [ | |
| 5, | |
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| 48 | |
| ] | |
| } | |
| } | |