Image-Text-to-Text
Transformers
Safetensors
English
dendro_omni
text-generation
phillnet
phillnet-mini
dendro
visual-question-answering
multimodal
adaptive-reasoning
code-generation
long-context
custom-code
text-vision-only
conversational
custom_code
Instructions to use ayjays132/Phillnet-Mini-Max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayjays132/Phillnet-Mini-Max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ayjays132/Phillnet-Mini-Max", trust_remote_code=True) 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 AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ayjays132/Phillnet-Mini-Max", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ayjays132/Phillnet-Mini-Max with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ayjays132/Phillnet-Mini-Max" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ayjays132/Phillnet-Mini-Max", "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/ayjays132/Phillnet-Mini-Max
- SGLang
How to use ayjays132/Phillnet-Mini-Max 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 "ayjays132/Phillnet-Mini-Max" \ --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": "ayjays132/Phillnet-Mini-Max", "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 "ayjays132/Phillnet-Mini-Max" \ --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": "ayjays132/Phillnet-Mini-Max", "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 ayjays132/Phillnet-Mini-Max with Docker Model Runner:
docker model run hf.co/ayjays132/Phillnet-Mini-Max
| { | |
| "_name_or_path": "Phillnet-Mini-Text-Vision", | |
| "acceleration_backend": "auto", | |
| "adaptive_reasoning": true, | |
| "align_qkv_norms": true, | |
| "answer_token_budget_policy": "fixed", | |
| "architectures": [ | |
| "DendroForCausalLM" | |
| ], | |
| "associative_slots": 32, | |
| "attention_dropout": 0.0, | |
| "attention_mode": "prefix_bidi", | |
| "audio_patch_size": 320, | |
| "audio_patch_stride": 160, | |
| "auto_map": { | |
| "AutoConfig": "configuration_dendro_omni.DendroOmniConfig", | |
| "AutoModel": "modeling_dendro_omni.DendroOmniModel", | |
| "AutoModelForCausalLM": "modeling_dendro_omni.DendroForCausalLM", | |
| "AutoProcessor": "processing_dendro_omni.DendroVisionProcessor" | |
| }, | |
| "bos_token_id": 248046, | |
| "byte_offset": 3, | |
| "cache_derived_views": false, | |
| "cache_dtype": "auto", | |
| "cache_implementation": "dynamic", | |
| "cache_offload_device": "cpu", | |
| "cache_source_indices": false, | |
| "default_adaptive_capsule_budget": true, | |
| "default_adaptive_reasoning_trace": true, | |
| "default_private_reasoning_generation": true, | |
| "default_reasoning_effort": "max", | |
| "detach_runtime_state": true, | |
| "dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248046, | |
| "expert_top_k": 2, | |
| "generation_completion_reserve_tokens": 2048, | |
| "generation_default_max_answer_tokens": 8192, | |
| "generation_logical_context_tokens": 1048576, | |
| "hidden_size": 1024, | |
| "image_channels": 3, | |
| "image_patch_size": 16, | |
| "image_token_id": 248056, | |
| "init_std": 0.02, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3584, | |
| "layer_norm_eps": 1e-06, | |
| "low_bit": true, | |
| "max_cache_length": 32768, | |
| "max_position_embeddings": 1048576, | |
| "max_recurrent_depth": 32, | |
| "memory_decay": 0.98, | |
| "memory_slots": 16, | |
| "modality_vocab_size": 8, | |
| "model_capabilities": [ | |
| "text-generation", | |
| "image-understanding" | |
| ], | |
| "model_type": "dendro_omni", | |
| "num_attention_heads": 8, | |
| "num_experts": 4, | |
| "num_hidden_layers": 8, | |
| "num_memory_organs": 4, | |
| "num_routes": 6, | |
| "pad_token_id": 248044, | |
| "plasticity_decay": 0.97, | |
| "private_deliberation_trained": true, | |
| "qkv_norm": true, | |
| "reasoning_answer_commit_budgets": {}, | |
| "reasoning_context_guard_tokens": 64, | |
| "reasoning_correction_strength": 0.0, | |
| "reasoning_effort_conditioning_strength": 0.0, | |
| "reasoning_effort_min_tokens": { | |
| "direct": 0, | |
| "high": 64, | |
| "low": 8, | |
| "max": 128, | |
| "medium": 24 | |
| }, | |
| "reasoning_effort_native_blends": {}, | |
| "reasoning_effort_revision_cycles": { | |
| "direct": 0, | |
| "high": 3, | |
| "low": 1, | |
| "max": 5, | |
| "medium": 2 | |
| }, | |
| "reasoning_effort_steps": { | |
| "direct": 0, | |
| "high": 3, | |
| "low": 0, | |
| "max": 6, | |
| "medium": 1 | |
| }, | |
| "reasoning_effort_token_budgets": { | |
| "direct": 0, | |
| "high": 2048, | |
| "low": 128, | |
| "max": 8192, | |
| "medium": 512 | |
| }, | |
| "reasoning_max_steps": 8, | |
| "reasoning_min_steps": 0, | |
| "reasoning_refinement_scale": 1.0, | |
| "reasoning_route_prior_strength": 0.0, | |
| "reasoning_stop_threshold": 0.82, | |
| "reasoning_token_budget_policy": "adaptive_context", | |
| "reasoning_verifier_passes": 1, | |
| "removed_components": [ | |
| "SDXL U-Net", | |
| "SDXL VAE", | |
| "SDXL text encoder", | |
| "SDXL text encoder 2", | |
| "diffusion scheduler", | |
| "text-to-image runtime", | |
| "text-to-video runtime", | |
| "agent/tool orchestration runtimes" | |
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| "residual_scale": 0.7, | |
| "rope_theta": 10000000.0, | |
| "sensor_feature_size": 32, | |
| "sliding_window": 32768, | |
| "source_logical_region_size": 8388608, | |
| "source_logical_region_start": 873438976, | |
| "source_size": 881827584, | |
| "spatial_fourier_bands": 16, | |
| "ternary_threshold": 0.7, | |
| "text_vision_only": true, | |
| "thinking_end_token_id": null, | |
| "thinking_start_token_id": null, | |
| "tie_word_embeddings": true, | |
| "training_recurrent_checkpointing": false, | |
| "transformers_version": "5.14.1", | |
| "transplant_aliases": { | |
| "token/embedding": "model.language_model.embed_tokens.weight" | |
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| "transplant_attention_window": 32768, | |
| "transplant_exact_tied_logits": true, | |
| "transplant_freeze_donor_bank": true, | |
| "transplant_manifest": { | |
| "functional_exactness": "requires verifier", | |
| "protocol": "Exact-Equivalence Model Transplantation", | |
| "protocol_doi": "10.5281/zenodo.20615831", | |
| "source_model": "Qwen/Qwen3.5-0.8B", | |
| "source_revision": "main", | |
| "storage_exact": true | |
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| "transplant_mode": "exact", | |
| "transplant_native_blend": 0.0, | |
| "transplant_source_config": { | |
| "architectures": [ | |
| "Qwen3_5ForConditionalGeneration" | |
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| "image_token_id": 248056, | |
| "model_type": "qwen3_5", | |
| "text_config": { | |
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| "full_attention_interval": 4, | |
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| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
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| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
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| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
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| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
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| "rms_norm_eps": 1e-06, | |
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| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
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| "tie_word_embeddings": true, | |
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| "vocab_size": 248320 | |
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| "tie_word_embeddings": true, | |
| "transformers_version": "4.57.0.dev0", | |
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| "deepstack_visual_indexes": [], | |
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