Instructions to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Use Docker

docker model run hf.co/AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

LM Studio
Jan
Ollama
How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with Ollama:
```
ollama run hf.co/AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
```
Unsloth Desktop

How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with Docker Model Runner:
```
docker model run hf.co/AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M
```

Lemonade

How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Run and chat with the model

lemonade run user.NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

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).

Qwopus3.5-9B-PromptEng-v3.5-BF16

Role: Prompt-engineering / instruction-shaping specialist (9B dense, Qwopus3.5-v3.5 family). BF16-only locally (4-shard safetensors; no GGUF). Think-model — use closed-think prefill (<think>\n\n</think>\n\n) for deterministic non-reasoning output.

Test results (2026-06-17)

No NOESIS-pipeline eval has been run on this model — it is off-role for the dubbing suite (Director / Inspector / LongCtx-Supervisor / Translate). Running supervisor-12 or FLORES on a prompt-engineering model would be uninformative (wrong task), so no fabricated numbers are recorded here.

Local constraint: BF16 ≈ 18 GB → does not fit the RTX 3060 6 GB GPU without quantization, so tokens/sec was not measured. A cross-role benchmark would first require a GGUF/NF4 build.

NOESIS dubbing models (for context — measured 2026-06-17)

Model	Role	Score
NOESIS-0.8B-Director	orchestration	10/10 (grammar)
NOESIS-0.8B-Inspector	per-stage QC	15/16 (grammar)
NOESIS-4B-LongCtx-Supervisor	long-ctx QC	11/12 (grammar); translate chrF++ 41.7
Qwopus3.5-9B-Translate	translation	chrF++ 43.8 / BLEU 16.5 (FLORES n=20)

If you want this model benchmarked on a specific task, say which and provide/allow a GGUF or NF4 build.

Downloads last month: 204

Safetensors

Model size

9B params

Tensor type

BF16

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including AMAImedia/NOESIS-Qwopus3.5-9B-PromptEng-v3.5-BF16

NOESIS-Original-Trained-Models

Collection

24 items • Updated about 7 hours ago