Models › Idefics3 family

Idefics3-8B-Llama3

HuggingFaceM4 Apache 2.0 out 2 years ago

8.46B parameters, images and text in, text out, 128K tokens of context.

Verified 2026-10-26 07:27 UTC Rank #581 in LLMs · score 74.4 method v1 Sources 3 Downloads 30d 55k · #374 of 619 tracked

Can I run it?5.1GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-26
Do people use it?55kdownloads, 30 days#374 of 619 we track · below the median+0 likes, downloads −15% this week307 likesHugging Face2026-10-26

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: 5 quantized builds and 18 Spaces.

  • As a service0no API provider listed
  • On own hardware5quantized builds
  • Built on269 fine-tunes · 17 adapters · 0 merges
  • In apps18Hugging Face Spaces

Top Spaces running it: HuggingFaceM4/idefics3 ♥ 102 · TIGER-Lab/MEGA-Bench ♥ 51 · eltorio/IDEFICS3_ROCO ♥ 12 · hexgrad/IDEFICS3_ROCO_ZeroGPU ♥ 7

Will it fit?

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

Fits a 16 GB card at INT4

About 5.1 GB at INT4, 10 GB at FP8, 20 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.1 GB of weights (estimate; KV cache and activations extra)INT45.1 GBFP8: about 10 GB of weights (estimate; KV cache and activations extra)FP810 GBBF16: about 20 GB of weights (estimate; KV cache and activations extra)BF1620 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 5.1 GB of weights (estimate; KV cache and activations extra)INT45.1 GBFP8: about 10 GB of weights (estimate; KV cache and activations extra)FP810 GBBF16: about 20 GB of weights (estimate; KV cache and activations extra)BF1620 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.

30 repo commits since the weights landed

Teal is the weights (2024-08-05), grey ticks are repo commits.

SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-02: 2 repo commits2024-09-18: 2 repo commits2024-08-26: 2 repo commits2024-08-15: 1 repo commit2024-08-12: 2 repo commits2024-08-09: 1 repo commit2024-08-08: 1 repo commit2024-08-06: 16 repo commits2024-08-05: 3 repo commitsWeights 2024-08-05 · 2024-08-05Weights 2024-08-05now
SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-02: 2 repo commits2024-09-18: 2 repo commits2024-08-26: 2 repo commits2024-08-15: 1 repo commit2024-08-12: 2 repo commits2024-08-09: 1 repo commit2024-08-08: 1 repo commit2024-08-06: 16 repo commits2024-08-05: 3 repo commitsWeights 2024-08-05 · 2024-08-05Weights 2024-08-05now

What people built on it

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

31 derivatives on the Hub, most of them adapters

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

5 quantized (Hugging Face model tree)9 fine-tunes (Hugging Face model tree)17 adapters (Hugging Face model tree)5 quantized9 fine-tunes17 adapters
5 quantized (Hugging Face model tree)9 fine-tunes (Hugging Face model tree)17 adapters (Hugging Face model tree)5 quantized9 fine-tunes17 adapters

All variants →

Reference

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

Benchmarks

5 rows

Benchmarks 5 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (5)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 DocVQA · Extract text from documents87.7Idefics3-8Bmodel author2026-10-07
author-reported MMMU · Understand images and video46.6Idefics3-8Bmodel author2026-10-07
author-reported MMStar · Understand images and video55.9Idefics3-8Bmodel author2026-10-07
author-reported MathVista · Understand images and video58.4Idefics3-8Bmodel author2026-10-07
author-reported TextVQA · Understand images and video74.9Idefics3-8Bmodel author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The model accepts arbitrary sequences of image and text inputs to produce text outputs.[1]

  1. “accepts arbitrary sequences of image and text inputs”

Generated 2026-10-07 15:12 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

5 use cases

What it is good at 5 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

21 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesIdefics3ForConditionalGeneration
Model typeidefics3
Dtypebfloat16
Params by dtypeBF16: 8,462,086,384
Size bandM
MoEno
Context length131,072 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2306.16527, arXiv:2405.02246, arXiv:2408.12637
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-26

Servability

vLLM · SGLang

Servability

vLLM: supported · Idefics3ForConditionalGeneration · 4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60SGLang: not in registry · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

vLLM registry (4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60) · SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · 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 Idefics3-8B-Llama3: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)20 GB · Single GPU (<24 GB)
FP8 (1 byte/param)10 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)5.1 GB · Single GPU (<24 GB)

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

All variants

31 variants

Lineage

Original model Family: HuggingFaceM4/Idefics3 31 derivatives on the Hub

finetune: 9adapter: 17quantized: 5

Top variants (31 shown, ranked by downloads)

Relation
Quant
31 rows
Variant Relation Quant Params Band License Author Likes Downloads
Minthy/ToriiGate-v0.3 finetune — 8.46B M apache-2.0 Minthy 24 7.6k
eltorio/IDEFICS3_ROCO adapter — — — apache-2.0 eltorio 9 3.8k
nectec/Pathumma-llm-vision-1.0.0 finetune — 8.46B M — nectec 11 1.7k
jesse9527/Idefics3-8B-Llama3-Q4_K_M-GGUF quantized GGUF — — apache-2.0 jesse9527 2 766
leon-se/Idefics3-8B-Llama3-bnb_nf4 quantized -bnb 8.68B M — leon-se 0 645
Minthy/ToriiGate-v0.2 finetune — 8.46B M apache-2.0 Minthy 3 401
eltorio/IDEFICS3_ROCOv2 adapter — — — apache-2.0 eltorio 4 310
Mantis-VL/mantis-8b-idefics3_16384 finetune — 8.46B M apache-2.0 Mantis-VL 0 354
2dameneko/Idefics3-8B-Llama3-nf4 quantized -nf4 8.69B M apache-2.0 2dameneko 0 338
Mantis-VL/mantis-8b-idefics3-pure_16384 finetune — 8.46B M apache-2.0 Mantis-VL 0 256
eltorio/IDEFICS3_medical_instruct adapter — — — apache-2.0 eltorio 2 137
Minthy/Torii_Gate_v0.1_alpha finetune — 8.46B M apache-2.0 Minthy 0 207
leon-se/Idefics3-8B-Llama3-FP8-Dynamic quantized -FP8 8.46B M — leon-se 0 203
ronantakizawa/idefics3-8b-llama3-awq quantized awq 2.41B M apache-2.0 ronantakizawa 1 145
Maverick17/idefics3-llama-gui-dense-descriptions adapter — — — apache-2.0 Maverick17 0 133
justinkarlin/idefics3-qlora-faces adapter — — — apache-2.0 justinkarlin 0 127
fsommers/idefics3-llama-vqav2_1 adapter — — — apache-2.0 fsommers 0 106
Oysiyl/Idefics3-8B-Llama3-ufo adapter — — — apache-2.0 Oysiyl 0 34
justinkarlin/idefics3-qlora-faces6 adapter — — — apache-2.0 justinkarlin 0 31
Tchalla12/idefics3-8b-qlora adapter — — — — Tchalla12 0 28
justinkarlin/idefics3-llama-vqav2 adapter — — — apache-2.0 justinkarlin 0 27
justinkarlin/idefics3-qlora-faces4 adapter — — — apache-2.0 justinkarlin 0 27
justinkarlin/idefics3-qlora-faces2 adapter — — — apache-2.0 justinkarlin 0 23
justinkarlin/idefics3-qlora-faces3 adapter — — — apache-2.0 justinkarlin 0 23
Erland/idefics3-llama-ai701 adapter — — — apache-2.0 Erland 0 23
justinkarlin/idefics3-qlora-faces5 adapter — — — apache-2.0 justinkarlin 0 21
joris-sense/idefics3-llama-vqav2 adapter — — — apache-2.0 joris-sense 0 20
kurama270296/qlora-idefics3-test adapter — — — — kurama270296 0 20
Clark12/POS1 finetune — — — mit Clark12 0 0
slezki/assistant_mage finetune — — — mit slezki 0 0
CATIE-AQ/Idefics3_FT_fr finetune — — — apache-2.0 CATIE-AQ 0 0

Repository changelog

30 commits

Repository changelog 30 commits

DateCommitSHA
2024-12-02 Update README.md fddb4ff
2024-12-02 Update README.md e493ce0
2024-09-18 Add proper library tag (#16) ebde0d8
2024-09-18 Add EOS token id (#18) 5388aec
2024-08-26 Update README.md 605edaf
2024-08-26 Update README.md a1b83a3
2024-08-15 Update preprocessor_config.json 30d4b60
2024-08-12 Update README.md 54b2639
2024-08-12 Update README.md 9af05b7
2024-08-09 remove hidden size from the main config c9ba4e1
2024-08-08 Update config.json d8435d5
2024-08-06 Update README.md b5906c5
2024-08-06 Update README.md 86e519e
2024-08-06 Update README.md 657234f
2024-08-06 Update README.md 8ed28d9
2024-08-06 Update README.md 2177c2f
2024-08-06 Update README.md 43f63a3
2024-08-06 Update tokenizer_config.json 26d25e9
2024-08-06 Update preprocessor_config.json c77a21d
2024-08-06 Delete processor_config.json c510f0c
2024-08-06 Create chat_template.json 92a708a
2024-08-06 Create processor_config.json c6bf80e
2024-08-06 Update preprocessor_config.json 9cb63ce
2024-08-06 Update tokenizer_config.json dbb5ae3
2024-08-06 Update tokenizer_config.json 6f16a06
2024-08-06 Update tokenizer_config.json d3dbbde
2024-08-06 Update tokenizer_config.json b08cc74
2024-08-05 fix bug in config defaults 7f51046
2024-08-05 Update README.md 15733c2
2024-08-05 Update README.md ca8ae61

Papers

3 papers

Papers 3

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).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:22 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-26 07:27 UTC

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