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167
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---
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license: other
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license_name: nvidia-open-model-license
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license_link: LICENSE
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||||
language:
|
||||
- en
|
||||
library_name: transformers
|
||||
tags:
|
||||
- awq
|
||||
- int4
|
||||
- quantization
|
||||
- orchestration
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||||
- tool-calling
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||||
- noesis
|
||||
- dhcf-fno
|
||||
- qwen3
|
||||
base_model: nvidia/Nemotron-Orchestrator-8B
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||||
quantized_by: AMAImedia
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
|
||||
# Qwen3-8B-Nemotron-Orchestrator-NOESIS-AWQ-INT4
|
||||
**AWQ INT4 quantization of [nvidia/Nemotron-Orchestrator-8B](https://huggingface.co/nvidia/Nemotron-Orchestrator-8B)
|
||||
optimized for low-VRAM consumer hardware (RTX 3060 6 GB).**
|
||||
|
||||
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](https://www.amaimedia.com)
|
||||
- **X (Twitter):** [@AMAImediacom](https://x.com/AMAImediacom)
|
||||
- **LinkedIn:** [Ilia Bolotnikov](https://www.linkedin.com/in/ilia-bolotnikov)
|
||||
- **Telegram:** [@djbionicl](https://t.me/djbionicl)
|
||||
- **NOESIS version:** v14.6
|
||||
- **Release date:** 2026-04
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ License notice
|
||||
|
||||
This model inherits the **NVIDIA Open Model License** from the upstream
|
||||
`nvidia/Nemotron-Orchestrator-8B`. The base model is designated by NVIDIA as
|
||||
**"for research and development only"**.
|
||||
|
||||
This AWQ derivative is published to make the model accessible to the broader
|
||||
research and development community on consumer GPUs. **Users are responsible
|
||||
for compliance with NVIDIA's license terms** — see the `LICENSE` file in
|
||||
this repository for the full text.
|
||||
|
||||
By downloading or using this model you agree to the upstream NVIDIA license.
|
||||
|
||||
---
|
||||
|
||||
## Model summary
|
||||
|
||||
| Property | Value |
|
||||
| --- | --- |
|
||||
| Base model | nvidia/Nemotron-Orchestrator-8B |
|
||||
| Underlying architecture | Qwen3-8B (decoder-only transformer, **dense, NOT MoE**) |
|
||||
| Original precision | FP32 safetensors (~32 GB) |
|
||||
| Quantized precision | AWQ INT4 (group_size=128, GEMM, zero_point=True) |
|
||||
| Vocab size | 151936 |
|
||||
| Language | English (per base model) |
|
||||
| Disk footprint | ~4.5 GB |
|
||||
| Inference VRAM | ~5.0 GB (full-resident on 6 GB GPU) |
|
||||
| Quantization library | AutoAWQ 0.2.9 |
|
||||
| Calibration set | 128 in-house orchestration / tool-calling prompts, max_seq_len=512 |
|
||||
| RNG seed | 1729 (NOESIS reproducibility lock) |
|
||||
|
||||
A companion **BF16 reference checkpoint** is also published:
|
||||
[amaimedia/Nemotron-Orchestrator-8B-Qwen3-BF16-NOESIS](https://huggingface.co/amaimedia/Nemotron-Orchestrator-8B-Qwen3-BF16-NOESIS).
|
||||
|
||||
---
|
||||
|
||||
## Why this quantization
|
||||
|
||||
The original Nemotron-Orchestrator-8B is shipped in **FP32 (~32 GB on disk)** which
|
||||
does not fit any consumer GPU. Existing community quantizations exist (mostly
|
||||
GGUF) but none is calibrated specifically for orchestration / tool-calling
|
||||
scale search and packaged for the **AutoAWQ GEMM kernel path** that integrates
|
||||
directly with `transformers` and `vllm` on Windows hosts.
|
||||
|
||||
This AWQ build:
|
||||
|
||||
1. Fits inside the **4.5 GB SEALED VRAM window** of the NOESIS specialist
|
||||
sequential-swapping protocol
|
||||
2. Uses **GEMM kernel** (compatible with `device_map={"":0}` — no CPU offload)
|
||||
3. Provenance-tracked (`noesis_provenance.json` ships with the model)
|
||||
4. Calibrated on orchestration / tool-calling prompts matching base model
|
||||
training distribution (ToolScale + GeneralThought-430K)
|
||||
|
||||
---
|
||||
|
||||
## How to use
|
||||
|
||||
```python
|
||||
from awq import AutoAWQForCausalLM
|
||||
from transformers import AutoTokenizer
|
||||
import torch
|
||||
|
||||
model_id = "amaimedia/Qwen3-8B-Nemotron-Orchestrator-NOESIS-AWQ-INT4"
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
||||
model = AutoAWQForCausalLM.from_quantized(
|
||||
model_id,
|
||||
device_map={"": 0},
|
||||
torch_dtype=torch.float16,
|
||||
fuse_layers=False,
|
||||
)
|
||||
|
||||
prompt = "Plan a multi-step task: search for recent AWQ papers, then summarize."
|
||||
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|
||||
out = model.generate(**inputs, max_new_tokens=256, do_sample=False)
|
||||
print(tokenizer.decode(out[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## NOESIS context
|
||||
|
||||
In NOESIS this model serves as the **English orchestration teacher** for
|
||||
Specialist **M9-ORCH-4B** during knowledge distillation. It is loaded
|
||||
sequentially (per the NOESIS swapping protocol) onto the RTX 3060,
|
||||
producing top-K=512 logits at temperature=4.0, which are then aggregated
|
||||
in `build_ensemble_labels.py` with proposed weight **w=0.22** on the
|
||||
orchestration data shard.
|
||||
|
||||
NOESIS specialists overview:
|
||||
|
||||
| ID | Role | Size |
|
||||
| --- | --- | --- |
|
||||
| M1 | ASR (150+ langs) | 10B/3B |
|
||||
| M2 | Dubbing LM (30 langs full) | 10B/3B |
|
||||
| M3 | TTS + voice cloning | 10B/3B |
|
||||
| M4 | Chat + creative writing | 10B/3B |
|
||||
| M5 | Code + math | 10B/3B |
|
||||
| M6 | Deep research (1M ctx) | 10B/3B |
|
||||
| M7 | Prompt engineering | 4B/0.8B |
|
||||
| M8 | Quality control (PRM) | 4B/0.8B |
|
||||
| **M9** | **Orchestrator + routing** | **4B/0.8B** |
|
||||
|
||||
---
|
||||
|
||||
## Acknowledgements & citation
|
||||
|
||||
Base model: ToolOrchestra by NVIDIA & University of Hong Kong.
|
||||
|
||||
```bibtex
|
||||
@misc{toolorchestra,
|
||||
title = {ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration},
|
||||
author = {Hongjin Su and Shizhe Diao and Ximing Lu and others},
|
||||
year = {2025},
|
||||
eprint = {2511.21689},
|
||||
archivePrefix = {arXiv}
|
||||
}
|
||||
```
|
||||
|
||||
Quantization & NOESIS integration:
|
||||
|
||||
```bibtex
|
||||
@misc{noesis_v14,
|
||||
title = {NOESIS v14.6: DHCF-FNO Multilingual Dubbing Platform},
|
||||
author = {Bolotnikov, Ilia},
|
||||
year = {2026},
|
||||
publisher = {AMAImedia},
|
||||
url = {https://amaimedia.com}
|
||||
}
|
||||
```
|
||||
89
chat_template.jinja
Normal file
89
chat_template.jinja
Normal file
@@ -0,0 +1,89 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for message in messages[::-1] %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content = message.content %}
|
||||
{%- else %}
|
||||
{%- set content = '' %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is string %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
||||
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
79
config.json
Normal file
79
config.json
Normal file
@@ -0,0 +1,79 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": null,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"quantization_config": {
|
||||
"bits": 4,
|
||||
"group_size": 128,
|
||||
"modules_to_not_convert": null,
|
||||
"quant_method": "awq",
|
||||
"version": "gemm",
|
||||
"zero_point": true
|
||||
},
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.6.0.dev0",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.6.0.dev0"
|
||||
}
|
||||
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:f345a662b14b5ebebed4d03890a00b7c5a1eb258abb82bc37001c0f9b3e29d3d
|
||||
size 3999541984
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:df8c4120b334ea6e4da0c51a966d2169aa84f3988a529c684821c533156b258b
|
||||
size 2099039384
|
||||
910
model.safetensors.index.json
Normal file
910
model.safetensors.index.json
Normal file
@@ -0,0 +1,910 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 6098479104
|
||||
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|
||||
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|
||||
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31
noesis_provenance.json
Normal file
31
noesis_provenance.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
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"noesis_version": "v14.1",
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"framework": "DHCF-FNO",
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"founder": "Ilia Bolotnikov",
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"organization": "AMAImedia.com",
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"source_model": "nvidia/Nemotron-Orchestrator-8B",
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"source_format": "FP32 safetensors",
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"source_license": "NVIDIA Open Model License (research and development only)",
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"version": "GEMM"
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},
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"calibration": {
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"samples": 128,
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"max_seq_len": 512,
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"domain": "orchestration_tool_calling_english",
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"source": "in-memory synthetic prompts (NOESIS internal)"
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},
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"specialist_role": "M9-ORCH (English orchestration teacher)",
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"rng_seed": 1729,
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"torch_dtype_quant": "bfloat16"
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}
|
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3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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14
tokenizer_config.json
Normal file
14
tokenizer_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"add_prefix_space": false,
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||||
"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"is_local": true,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
|
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}
|
||||
Reference in New Issue
Block a user