Models › Intern family

Intern-Decision-4B

internlm Apache 2.0 out 29 days ago

4.54B parameters, images and text in, text out, 256K tokens of context.

Verified 2026-10-25 Rank #1935 in Decision models · score 60.3 method v1 Sources 3 Downloads 30d 5.2k · #539 of 619 tracked

Can I run it?2.7GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?5.2kdownloads, 30 days#539 of 619 we track · below the median+3 likes, downloads +22% this week90 likesHugging Face2026-10-24

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 3 quantized builds and 9 Spaces.

  • As a service0no API provider listed
  • On own hardware3quantized builds
  • Built on43 fine-tunes · 1 adapters · 0 merges
  • In apps9Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802 · hugging-apps/internlm-intern-decision-4b ♥ 1 · mertkayacs/JevAlt ♥ 1

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 2.7 GB at INT4, 5.4 GB at FP8, 11 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.7 GB of weights (estimate; KV cache and activations extra)INT42.7 GBFP8: about 5.4 GB of weights (estimate; KV cache and activations extra)FP85.4 GBBF16: about 11 GB of weights (estimate; KV cache and activations extra)BF1611 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.7 GB of weights (estimate; KV cache and activations extra)INT42.7 GBFP8: about 5.4 GB of weights (estimate; KV cache and activations extra)FP85.4 GBBF16: about 11 GB of weights (estimate; KV cache and activations extra)BF1611 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

5 repo commits since the weights landed

Teal is the weights (2026-09-26), grey ticks are repo commits.

Oct2026-10-22: 2 repo commits2026-10-16: 1 repo commit2026-09-26: 2 repo commitsWeights 2026-09-26 · 2026-09-26Weights 2026-09-26now
Oct2026-10-22: 2 repo commits2026-10-16: 1 repo commit2026-09-26: 2 repo commitsWeights 2026-09-26 · 2026-09-26Weights 2026-09-26now

What people built on it

7 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

7 derivatives on the Hub, led by 3 quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

3 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)3 quantized3 fine-tunes1 adapter
3 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)3 quantized3 fine-tunes1 adapter

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

14 rows

Benchmarks 14 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (14)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported AG News90.82Intern-Decision-4Bmodel author2026-10-23
author-reported Average90.02Intern-Decision-4Bmodel author2026-10-23
author-reported Brier ↓0.35Intern-Decision-4Bmodel author2026-10-23
author-reported ECE ↓0.07Intern-Decision-4Bmodel author2026-10-23
author-reported Jevbench-Easy100Intern-Decision-4Bmodel author2026-10-23
author-reported Jevbench-Hard73.87Intern-Decision-4Bmodel author2026-10-23
author-reported Jevbench-Original98.61Intern-Decision-4Bmodel author2026-10-23
author-reported Mean44.16 ms otherIntern-Decision-4B latencymodel author2026-10-23
author-reported Median / P5044.03 ms otherIntern-Decision-4B latencymodel author2026-10-23
author-reported Overall (Brier / ECE)0.550 / 0.089Intern-Decision-4B after calibrationmodel author2026-10-23
author-reported P9544.60 ms otherIntern-Decision-4B latencymodel author2026-10-23
author-reported ToolACE96.45Intern-Decision-4Bmodel author2026-10-23
author-reported Typed Decision80.55Intern-Decision-4Bmodel author2026-10-23
author-reported WildJailBreak89.86Intern-Decision-4Bmodel author2026-10-23

What the card says

2 cited sentences

Summary generated, cited

Intern-Decision-4B is a multimodal structured decision model with 4.54B parameters.[1][2] Fine-tuned from Qwen3.5-4B, the model processes images and text to return an answer distribution for questions in a single forward pass.[3][4]

  1. “multimodal structured decision model”
  2. parameters human
  3. “returns an answer distribution for every question in one …”
  4. base models

Generated 2026-10-07 15:17 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

7 use cases

What it is good at 7 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

20 fields

Listed in Decision models · LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesQwen3_5ForConditionalGeneration
Model typeqwen3_5
Dtypebfloat16
Params by dtypeBF16: 4,539,261,696 · F32: 3,840
Size bandM
MoEno
Context length262,144 (config.json max_position_embeddings)
PapersarXiv:2610.22131
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3_5ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3_5ForConditionalGeneration · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for Intern-Decision-4B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)11 GB · Single GPU (<24 GB)
FP8 (1 byte/param)5.4 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)2.7 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

Decision facts

catalog

Decision-model catalog curated

How it was madefull fine-tune (whole weights published)
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidenceboard file inspection (adapter/head/weight files) + HF base_model field
Base modelQwen/Qwen3.5-4B-Base
DI 0.2.1 score37.81 (independent (DI 0.2.1 board))
ECE (board)0.0278
Median latency44.2 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/internlm/Intern-Decision-4B

All variants

7 variants

Lineage

Fine-tuned from Qwen/Qwen3.5-4B Family: internlm/Intern 7 derivatives on the Hub

Base model: Qwen/Qwen3.5-4B

quantized: 3finetune: 3adapter: 1

Top variants (7 shown, ranked by downloads)

Relation
7 rows
Variant Relation Quant Params Band License Author Likes Downloads
bombdefuser-124/Intern-Decision-4B-GGUF quantized GGUF — — apache-2.0 bombdefuser-124 0 8k
prithivMLmods/Intern-Decision-4B-GGUF quantized GGUF — — apache-2.0 prithivMLmods 1 1.1k
mertkayacs/Wahler-4B finetune — 4.54B M apache-2.0 mertkayacs 2 323
yeaay/Intern-Decision-4B-GGUF quantized GGUF — — apache-2.0 yeaay 0 418
mertkayacs/Karar-4B finetune — 4.54B M apache-2.0 mertkayacs 2 283
mertkayacs/Deem-4B finetune — 4.54B M apache-2.0 mertkayacs 1 277
renlu/intern-decision-4b-tool-gate-v0.14.0 adapter — — — apache-2.0 renlu 2 20

Repository changelog

5 commits
changed in the last 7 daysRepo updated: 2026-10-23Repo commits: 2026-10-22, 2026-10-22all changes

Repository changelog 5 commits

DateCommitSHA
2026-10-22 docs: add BibTeX citation 38c9daf
2026-10-22 docs: add technical report link 6d8bbcc
2026-10-16 Add decision-model tag (#4) 1e65a98
2026-09-26 Upload 21 files 0e5e6aa
2026-09-26 initial commit a5d42a7

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

Similar models

  • Qwen3.5-4B · 4.66B
    same size band (M), same task (image-text-to-text), more providers, permissive license
  • gemma-3-4b-it · 4.30B
    same size band (M), same task (image-text-to-text), more providers
  • Qwen3-VL-4B-Instruct · 4.44B
    same size band (M), same task (image-text-to-text), more providers, permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:43 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:17 UTC · Last verified 2026-10-25

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