internlm/Intern-Decision-4B

image-text-to-text model by internlm

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Demo | Model Weights | GitHub | Technical Report Intern-Decision-4B is a multimodal structured decision model fine-tuned from Qwen3.5-4B. It accepts a shared state, a schema of named questions, and optional images, and returns an answer distribution for every question in one model forward pass. single-token symbols A, B, …, Z, a, …, z, 0, …, 9. assistant JSON skeleton with one placeholder per field. Preserve the checkpoint's chat template and empty thinking block. objective, read logits at the position immediately before each placeholder. apply the checkpoint's probability calibration. This API performs structured candidate scoring. It does not call generate() or sample free-form text. A request can contain multiple fields; no gold answers are inserted into the prompt. The inference compiler uses only state, questions, and optional images. Measured on a single RTX 4090 with the local HF inference path. Values are per-query end-to-end latency; they are workload and hardware…

internlm/Intern-Decision-4B on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Intern-Decision-4B
  2. How inference works
  3. Benchmark results
  4. Inference latency
  5. Known-distribution calibration pilot
  6. Quick start
  7. Request format
  8. Images
  9. Response format
  10. Calibration
  11. License and acknowledgment
  12. Citation

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Model overview

internlm/Intern-Decision-4B is a image-text-to-text model repository published by internlm on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
transformers
Recent downloads (30 days)
1,836
Cumulative likes
76
Hugging Face trending score
49
Reported safetensors parameters
4,539,265,536
Architecture
Qwen3_5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-26T05:36:37.000Z
Last modified
2026-09-26T07:57:03.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.5-4B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-04T06:38:41.811Z. Daily imports are snapshots, not real-time monitoring.

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