commit 3ad005dd965afcd9c4dc5988e52e4c0d63ada6ab Author: ModelHub XC Date: Fri May 1 11:36:08 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: AMAImedia/Qwen3-8B-Nemotron-Orchestrator-NOESIS-BF16 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..fcc6dd4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,203 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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The base model is designated by NVIDIA as +**"for research and development only"**. + +This BF16 derivative is published as a bandwidth-friendly reference checkpoint +for the broader research and development community. **Users are responsible +for compliance with NVIDIA's license terms** — see the `LICENSE` file in +this repository for the full text. + +--- + +## Why this BF16 release exists + +The original NVIDIA release ships in **FP32 (~32 GB on disk)**. Most modern +inference and quantization tooling (HuggingFace Transformers, vLLM, SGLang, +AutoAWQ, AutoGPTQ, llama.cpp BF16 conversion) immediately casts to BF16 +on load. Publishing a pre-cast BF16 checkpoint: + +- Halves download bandwidth (16 GB vs 32 GB) +- Halves disk footprint +- Skips a slow load-time cast for users +- Provides a clean BF16 baseline for downstream quantization recipes + +The cast is performed via `torch.Tensor.to(dtype=torch.bfloat16)` with +IEEE 754 round-to-nearest-even (PyTorch default). BF16 has the same 8-bit +exponent range as FP32 and 7 bits of mantissa, which is **lossless for +inference-time use** of weight tensors. + +--- + +## Model summary + +| Property | Value | +| --- | --- | +| Base model | nvidia/Nemotron-Orchestrator-8B | +| Underlying architecture | Qwen3-8B (decoder-only transformer, **dense, NOT MoE**) | +| Source precision | FP32 | +| This release precision | BF16 | +| Vocab size | 151936 | +| Language | English (per base model) | +| Disk footprint | ~16 GB | +| Inference VRAM | ~17 GB BF16 (full-resident on 24 GB+ GPU) | + +For low-VRAM (6-12 GB) inference, see the AWQ INT4 sibling release: +[amaimedia/Nemotron-Orchestrator-8B-Qwen3-AWQ-INT4-NOESIS](https://huggingface.co/amaimedia/Nemotron-Orchestrator-8B-Qwen3-AWQ-INT4-NOESIS). + +--- + +## How to use + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_id = "amaimedia/Qwen3-8B-Nemotron-Orchestrator-NOESIS-BF16" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +prompt = "Plan a multi-step task: find recent AWQ papers, summarize the top three." +inputs = tokenizer(prompt, return_tensors="pt").to(model.device) +out = model.generate(**inputs, max_new_tokens=256, do_sample=False) +print(tokenizer.decode(out[0], skip_special_tokens=True)) +``` + +--- + +## NOESIS context + +This BF16 checkpoint is the source artifact for the AWQ INT4 quantization +used as the **English orchestration teacher** for NOESIS Specialist +**M9-ORCH-4B** during knowledge distillation. + +NOESIS is a 9-specialist dubbing automation platform — see the NOESIS +collection for the full specialist family. + +--- + +## 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} +} +``` + +NOESIS: + +```bibtex +@misc{noesis_v14, + title = {NOESIS v14.6: DHCF-FNO Multilingual Dubbing Platform}, + author = {Bolotnikov, Ilia}, + year = {2026}, + publisher = {AMAImedia}, + url = {https://amaimedia.com} +} +``` diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..b11e13e --- /dev/null +++ b/chat_template.jinja @@ -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 XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|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('') and message.content.endswith('')) %} + {%- 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 '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-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\n' + reasoning_content.strip('\n') + '\n\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 %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- 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 %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..9200ada --- 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"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, + "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": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..e4f1d31 --- /dev/null +++ b/generation_config.json @@ -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": "4.51.3" +} diff --git 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