Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).

Founder: Ilia Bolotnikov
Organization: AMAImedia.com
X (Twitter): @AMAImediacom
LinkedIn: Ilia Bolotnikov
Telegram: @djbionicl
NOESIS version: v16.1
Release date: 2026-08-26

Language support

This Qwen3-derived model follows the official Qwen3 language coverage (119 languages and dialects):

English, French, Portuguese, German, Romanian, Swedish, Danish, Bulgarian, Russian, Czech, Greek, Ukrainian, Spanish, Dutch, Slovak, Croatian, Polish, Lithuanian, Norwegian Bokmål, Norwegian Nynorsk, Persian, Slovenian, Gujarati, Latvian, Italian, Occitan, Nepali, Marathi, Belarusian, Serbian, Luxembourgish, Venetian, Assamese, Welsh, Silesian, Asturian, Chhattisgarhi, Awadhi, Maithili, Bhojpuri, Sindhi, Irish, Faroese, Hindi, Punjabi, Bengali, Oriya, Tajik, Eastern Yiddish, Lombard, Ligurian, Sicilian, Friulian, Sardinian, Galician, Catalan, Icelandic, Tosk Albanian, Limburgish, Dari, Afrikaans, Macedonian, Sinhala, Urdu, Magahi, Bosnian, Armenian; Chinese (Simplified Chinese, Traditional Chinese, Cantonese), Burmese; Arabic (Standard, Najdi, Levantine, Egyptian, Moroccan, Mesopotamian, Ta’izzi-Adeni, Tunisian), Hebrew, Maltese; Indonesian, Malay, Tagalog, Cebuano, Javanese, Sundanese, Minangkabau, Balinese, Banjar, Pangasinan, Iloko, Waray (Philippines); Tamil, Telugu, Kannada, Malayalam; Turkish, North Azerbaijani, Northern Uzbek, Kazakh, Bashkir, Tatar; Thai, Lao; Finnish, Estonian, Hungarian; Vietnamese, Khmer; Japanese, Korean, Georgian, Basque, Haitian, Papiamento, Kabuverdianu, Tok Pisin, Swahili.

--- library_name: transformers license: apache-2.0 license_link: LICENSE base_model:

inclusionAI/UI-Venus-1.5-2B pipeline_tag: image-text-to-text tags:
- bf16
- bfloat16
- dtype-repack
- noesis
- noesis-ui-venus-1-5-2b-noesis-bf16
- dhcf-fno
- amaimedia
- gui
- agent
- multimodal
- ui-venus
- qwen3-vl
- qwen3
- qwen3-119-languages
- supports-119-languages
- multilingual
- language-support language:
- en
- zh

UI-Venus-1.5-2B-NOESIS-BF16

BF16 dtype-repack of inclusionAI/UI-Venus-1.5-2B — original FP16 floating-point weights losslessly cast to bfloat16 for LoRA / DoRA / PEFT compatibility and reduced disk footprint. The model architecture, parameter values, tokenizer, and configuration are identical to upstream — only the IEEE-754 storage dtype was changed.

License preserved end-to-end — see LICENSE in this repo for the full text and attribution chain.

Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).

Repack date: 2026-05-19

Summary

End-to-end GUI agent for autonomous UI navigation and element grounding. Trained via 4-stage pipeline (Mid-Train → Offline-RL → Online-RL → Model-Merge) on 10B GUI tokens across 30+ datasets. SOTA on ScreenSpot-Pro 57.7%, VenusBench-GD, OSWorld-G, AndroidWorld/Lab, WebVoyager.

Use case inside NOESIS

GUI agent / screenshot understanding / UI element grounding. Inside NOESIS this is an out-of-scope sibling — kept for general agent research, not the dubbing pipeline.

What changed vs upstream

Aspect	Upstream	This bundle
Floating-point storage dtype	FP16	bfloat16
`config.json` `torch_dtype`	as-is	`bfloat16`
`model.safetensors.index.json` `total_size`	as-is	recomputed
Tokenizer / chat template / modeling code	as-is	unchanged
Number of parameters	as-is	unchanged
Value-level transformation beyond dtype cast	—	none
Disk size	4.6 GB	4.6 GB

Architecture

Property	Value
Immediate parent	`inclusionAI/UI-Venus-1.5-2B`
Architecture	`Qwen3VLForConditionalGeneration`
Architecture base / lineage	Qwen3-VL-2B (4-stage post-training: Mid-Train 10B tok GUI → Offline-RL → Online-RL → Model-Merge)
Parameters	~2B (dense)
Hidden size	see text_config in config.json
Num hidden layers	see text_config in config.json
Attention heads / KV heads	see text_config in config.json
Vocab size	see text_config in config.json
Max position embeddings	see text_config in config.json
Format	bfloat16
Bundle size on disk	4.6 GB
License	Apache License 2.0
Project page	https://ui-venus.github.io/UI-Venus-1.5
Paper / arxiv	arxiv:2602.09082

Repack tooling

CPU-only sharded repack via repack_fp32_to_bf16.py — reads each shard with safetensors.safe_open, casts floating-point tensors to torch.bfloat16, rewrites the shard, updates the index manifest. No GPU involvement, no value-level transformation beyond the IEEE-754 dtype cast.

Performance reference (RTX 3060 laptop, NVMe SSD):

Single 5 GB FP32 shard cast → ~28-40 sec
Full 4.6 GB → 4.6 GB in 1 pass, sharded

Use cases (for the BF16 bundle)

✅ LoRA / DoRA / IA³ fine-tuning that requires a dtype=torch.bfloat16 base
✅ Bitsandbytes NF4 / AWQ-INT4 / GPTQ quantization (these tools prefer BF16 input)
✅ Inference on Ampere+ / MI200+ hardware with native BF16 support
✅ KD-teacher (forward-only) where BF16 storage saves bandwidth
❌ Full-parameter fine-tuning of weights — use FP32/BF16 master weights pattern; storage dtype alone is insufficient

Quick start

python

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

repo = "AMAImedia/UI-Venus-1.5-2B-NOESIS-BF16"

tokenizer = AutoTokenizer.from_pretrained(repo, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    repo,
    dtype=torch.bfloat16,
    device_map="auto",
    trust_remote_code=True,
).eval()

Sealed rules (NOESIS DHCF-FNO)

R-DTYPE-REPACK-BF16 — pure IEEE-754 dtype cast from FP16 to bfloat16. No value-level transformation, no LoRA merge, no architectural change. Equivalent to loading upstream with dtype=torch.bfloat16 and saving, but materialised on disk.
R-APACHE-CLEAN — upstream Apache License 2.0 preserved end-to-end via the LICENSE file in this repo. AMAImedia adds only a derivative-work notice for the repack step.
R-NO-VALUE-TRANSFORM — no fine-tuning, no distillation, no merge has been applied between upstream and this repo. Outputs are bit-for-bit equivalent up to the precision difference of the dtype cast.

License & attribution

This bundle inherits Apache License 2.0 from inclusionAI/UI-Venus-1.5-2B. Original model card, citation, and attribution from upstream apply without modification. See LICENSE in this repo for the complete text plus the NOESIS derivative-work NOTICE.

Citation

bibtex

@misc{noesis2026uivenus152bnoesisbf16bf16,
  title  = {NOESIS DHCF-FNO :: UI-Venus-1.5-2B-NOESIS-BF16 — BF16 dtype-repack derivative},
  author = {Bolotnikov, Ilia and AMAImedia},
  year   = {2026},
  note   = {BF16 dtype-repack of inclusionAI/UI-Venus-1.5-2B for LoRA / PEFT
            compatibility. 4.6 GB on disk, Apache License 2.0
            preserved end-to-end.},
  url    = {https://huggingface.co/AMAImedia/UI-Venus-1.5-2B-NOESIS-BF16}
}

Please also cite the upstream model when using this bundle. See the upstream README and LICENSE in this repo for citation requirements.

Repack date: 2026-05-19
HF repo: AMAImedia/UI-Venus-1.5-2B-NOESIS-BF16
Upstream: inclusionAI/UI-Venus-1.5-2B

Produced 2026-08-26 by NOESIS DHCF-FNO v15.8 — AMAImedia.com

AMAImedia/Qwen3-VL-2B-UI-Venus-NOESIS-BF16

NOESIS / AMAImedia