The story so far
Weights, every dated article, and repo commits on one rail.
4 repo commits since the weights landed
Teal is the weights (2026-09-26), grey ticks are repo commits.
Intern-Decision-0.8B
internlm Apache 2.0 out 29 days ago
853M parameters, images and text in, text out, 256K tokens of context.
Verified 2026-10-25 Rank #3011 in Decision models · score 55 method v1 Sources 3 Downloads 30d 3.7k · #562 of 619 tracked
Changed this week: 1 new quantized build on the Hub (4 in all).2026-10-24
Do people use it?3.7kdownloads, 30 days#562 of 619 we track · below the median+1 likes, downloads +30% this week37 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: 4 quantized builds and 6 Spaces.
- As a service0no API provider listed
- On own hardware4quantized builds
- Built on00 fine-tunes · 0 adapters · 0 merges
- In apps6Hugging Face Spaces
Top Spaces running it: multimodalart/jev-decision-index ♥ 802
Will it fit?
Weights only, an estimate: leave room for the KV cache. Method
Fits a 16 GB card at INT4
About 0.5 GB at INT4, 1.0 GB at FP8, 2.0 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
What people built on it
4 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
4 derivatives on the Hub, most of them quantized
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Reference
Everything else, folded: the full tables, every source.
Benchmarks
10 rows
Benchmarks 10 rows
measured third-party leaderboard rowauthor-reported number from the model card or eval files (10)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.
| Benchmark | Value | Setting / notes | Reported by | Date |
|---|---|---|---|---|
| author-reported AG News | 88.61 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Average | 79.38 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Brier ↓ | 0.53 | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported ECE ↓ | 0.07 | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Jevbench-Easy | 97.92 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Jevbench-Hard | 52.25 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Jevbench-Original | 80.56 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported ToolACE | 94.52 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported Typed Decision | 77.35 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
| author-reported WildJailBreak | 64.48 percent | Intern-Decision-0.8B | model author | 2026-10-23 |
What the card says
2 cited sentences
Summary generated, cited
Intern-Decision-0.8B is an 853M parameter multimodal structured decision model fine-tuned from Qwen/Qwen3.5-0.8B.[1][2] The model uses a Qwen3_5ForConditionalGeneration architecture to return an answer distribution for questions in one forward pass.[3][4]
- parameters human
- “fine-tuned from Qwen3.5-0.8B”
- architectures
- “returns an answer distribution for every question in one …”
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.
- Understand images and videostructuraldecision-model estimate p=0.77tag: multimodalpipeline: image-text-to-text+1 more
- Classify and make typed decisionsstructuraldecision-model estimate p=1.00name: Decisiondecision catalog
- Run on a laptop or phonestructuraldecision-model estimate p=0.98name: 0.8Bfits: edge
- Chat and follow instructionsstructuraltag: conversationalchat template present
- Call tools and APIsstructuralchat template: <tool_call>
- Reason through hard problemsstructuralchat template: <think>
- Read long documentsstructuralconfig: 262,144 context
Facts
20 fields
Listed in Decision models · LLMs
Facts
- Intern-Decision-0.8B has 853M parameters. (safetensors metadata, observed 2026-10-24)
- Context length is 262,144 tokens (256K). (config.json max_position_embeddings, observed 2026-10-24)
- License: Apache 2.0 (friction: none). Permissive; patent grant. (license file, observed 2026-10-24)
- Created 2026-09-26, last modified 2026-10-22. (HF API, observed 2026-10-24)
| Pipeline tag | image-text-to-text |
|---|---|
| Library | transformers |
| Architectures | Qwen3_5ForConditionalGeneration |
| Model type | qwen3_5 |
| Dtype | bfloat16 |
| Params by dtype | BF16: 852,983,328 · F32: 2,592 |
| Size band | S |
| MoE | no |
| Context length | 262,144 (config.json max_position_embeddings) |
| Papers | arXiv:2610.22131 |
| License | Apache 2.0 (apache-2.0) |
| Hub snapshot | 2026-10-25 |
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-0.8B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 2.0 GB · Edge (<4 GB) |
|---|---|
| FP8 (1 byte/param) | 1.0 GB · Edge (<4 GB) |
| INT4 (0.5 bytes/param) | 0.5 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 made | full fine-tune (whole weights published) |
|---|---|
| Lineage bucket | F - fine-tune of an open model (public/synthetic data) |
| Lineage evidence | board file inspection (adapter/head/weight files) + HF base_model field |
| Base model | Qwen/Qwen3.5-0.8B-Base |
| DI 0.2.1 score | 11.94 (independent (DI 0.2.1 board)) |
| ECE (board) | 0.0255 |
| Median latency | 33.7 ms (DI board, 1x RTX PRO 6000, single process) |
| Hosted price (input) | self-hosted/M |
| Source | https://huggingface.co/internlm/Intern-Decision-0.8B |
All variants
4 variants
Lineage
Base model: Qwen/Qwen3.5-0.8B
quantized: 4
Top variants (4 shown, ranked by downloads)
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| bombdefuser-124/Intern-Decision-0.8B-GGUF | quantized | GGUF | — | — | apache-2.0 | bombdefuser-124 | 2 | 1.1k |
| FluidInference/intern-decision-0.8b-coreml | quantized | — | — | — | apache-2.0 | FluidInference | 1 | 105 |
| FluidInference/intern-decision-0.8b-showdown-coreml | quantized | — | — | — | apache-2.0 | FluidInference | 1 | 93 |
| Wortou/Intern-Decision-0.8B-ONNX-FP16 | quantized | -FP16 | — | — | apache-2.0 | Wortou | 0 | 33 |
Repository changelog
4 commits
changed in the last 7 daysRepo updated: 2026-10-23Repo commits: 2026-10-22, 2026-10-22Other: 2026-10-24all changes
Repository changelog 4 commits
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
- Qwen3.5-0.8B · 873M same size band (S), same task (image-text-to-text), more providers, permissive license
- OvisOCR2 · 853M same size band (S), same task (image-text-to-text), more providers, permissive license
- Florence-2-large · 777M same size band (S), same task (image-text-to-text), 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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