NOESIS / AMAImedia

Last updated: 2026-08-29

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 Qwen3.5-derived model follows the official Qwen3 language list below (119 languages and dialects) and the official Qwen3.5 coverage statement of 201 languages and dialects. Qwen3.5 publishes the expanded coverage count but does not provide an exhaustive 201-name enumeration in its model card. The list below is the complete language list published by Qwen for Qwen3 and is included as the transparent, documented baseline for this derivative.

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.

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

NOESIS-Qwopus3.5-4B-v3-Supervisor-LongCtx-NF4

Role: Long-context Supervisor — 6GB-runtime NF4 build (multi-segment QC, orchestration, cross-stage review, batch best-of-N) for the dubbing pipeline. Quantized from NOESIS-Qwopus3.5-4B-v3-Supervisor-LongCtx-BF16 (bnb load_in_4bit, nf4, double_quant, compute=bf16). PRIMARY artifact = the BF16 sibling; GGUF Q8_0 = laptop. Equivalent to base-NF4 + LoRA adapter nt346_longctx_qwopus4b, pre-merged.

Test results (2026-06-17)

Score measured on the matching Q8_0 GGUF (NF4 is the same merged weights at 6GB runtime):

Supervisor eval — eval_longctx_supervisor_v1.py (12 tests, grammar-constrained)

• 11/12 (Q8_0). Only failure = L1_mixed (fail-safe over-escalation). Prior best long-ctx (LFM2.5-7.5B) = 7/12.

Translation — FLORES devtest (n=20, no-think)

• eng→rus chrF++ 51.5 / BLEU 25.6 ; eng→cmn 32.0 / 7.4 ; AVG 41.7 / 16.5.

Comparison

Model	Supervisor-12	Translate AVG chrF++/BLEU
This (4B-LongCtx)	11/12	41.7 / 16.5
base 4B (no LoRA)	5/12	42.4 / 15.4
Qwopus3.5-9B-Translate Q4	5/12	43.8 / 16.5

Speed (RTX 3060 Laptop 6GB, GPU, Q8_0 sibling, 33/33 layers)

• gen 53.5 tok/s, prompt eval 366 tok/s (vs 9B-Translate Q4: 49.1 / 307).

All-rounder: full supervision + translation parity with the base, smaller footprint. Written: 2026-06-17