Text Generation
Transformers
Safetensors
Korean
English
qwen3_5
image-text-to-text
darwin
korean
reasoning
multimodal
qwen3.5
evolutionary-merge
vidraft
conversational
Instructions to use FINAL-Bench/Darwin-28B-KR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINAL-Bench/Darwin-28B-KR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FINAL-Bench/Darwin-28B-KR") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("FINAL-Bench/Darwin-28B-KR") model = AutoModelForImageTextToText.from_pretrained("FINAL-Bench/Darwin-28B-KR") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use FINAL-Bench/Darwin-28B-KR with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FINAL-Bench/Darwin-28B-KR" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Darwin-28B-KR", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FINAL-Bench/Darwin-28B-KR
- SGLang
How to use FINAL-Bench/Darwin-28B-KR with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "FINAL-Bench/Darwin-28B-KR" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Darwin-28B-KR", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "FINAL-Bench/Darwin-28B-KR" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Darwin-28B-KR", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FINAL-Bench/Darwin-28B-KR with Docker Model Runner:
docker model run hf.co/FINAL-Bench/Darwin-28B-KR
Initial release: Darwin-28B-KR — Korean-specialized 2nd-gen mother model
Browse files- .gitattributes +1 -0
- README.md +133 -0
- chat_template.jinja +88 -0
- config.json +147 -0
- darwin_mri_report.json +27 -0
- generation_config.json +12 -0
- model-00001-of-00014.safetensors +3 -0
- model-00002-of-00014.safetensors +3 -0
- model-00003-of-00014.safetensors +3 -0
- model-00004-of-00014.safetensors +3 -0
- model-00005-of-00014.safetensors +3 -0
- model-00006-of-00014.safetensors +3 -0
- model-00007-of-00014.safetensors +3 -0
- model-00008-of-00014.safetensors +3 -0
- model-00009-of-00014.safetensors +3 -0
- model-00010-of-00014.safetensors +3 -0
- model-00011-of-00014.safetensors +3 -0
- model-00012-of-00014.safetensors +3 -0
- model-00013-of-00014.safetensors +3 -0
- model-00014-of-00014.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +21 -0
- tokenizer.json +3 -0
- tokenizer_config.json +300 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,133 @@
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
language:
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| 4 |
+
- en
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| 5 |
+
- ko
|
| 6 |
+
base_model:
|
| 7 |
+
- FINAL-Bench/Darwin-28B-Opus
|
| 8 |
+
- FINAL-Bench/Darwin-27B-KR
|
| 9 |
+
pipeline_tag: text-generation
|
| 10 |
+
tags:
|
| 11 |
+
- darwin
|
| 12 |
+
- korean
|
| 13 |
+
- reasoning
|
| 14 |
+
- multimodal
|
| 15 |
+
- qwen3.5
|
| 16 |
+
- evolutionary-merge
|
| 17 |
+
library_name: transformers
|
| 18 |
+
---
|
| 19 |
+
|
| 20 |
+
# Darwin-28B-KR
|
| 21 |
+
|
| 22 |
+
> **Darwin family 한국어 특화 2세대 모체 모델**
|
| 23 |
+
> 28B 영어 추론력과 27B 한국어 능력을 통합한 Darwin V7 진화 머지 결과물.
|
| 24 |
+
|
| 25 |
+
## 🎯 모델 포지셔닝
|
| 26 |
+
|
| 27 |
+
Darwin-28B-KR은 Darwin family에서 **한국어 특화 2세대 모델 개발의 모체(母體)** 로 설계되었습니다.
|
| 28 |
+
|
| 29 |
+
이 모델 자체로 사용 가능하며, 향후 다양한 한국어 도메인 특화 모델(법률·의료·금융·학술 등)의 **공통 출발점**이 됩니다.
|
| 30 |
+
|
| 31 |
+
## 🧬 Lineage
|
| 32 |
+
|
| 33 |
+
```
|
| 34 |
+
Qwen3.5-27B (Alibaba Qwen team)
|
| 35 |
+
│
|
| 36 |
+
▼
|
| 37 |
+
Darwin-27B-Opus (FINAL-Bench)
|
| 38 |
+
│ Darwin V7 evolutionary merge
|
| 39 |
+
│
|
| 40 |
+
┌───┴────────────────────────┐
|
| 41 |
+
▼ ▼
|
| 42 |
+
Darwin-28B-Opus Darwin-27B-KR
|
| 43 |
+
(English/reasoning (Korean-specialized
|
| 44 |
+
+ multimodal) champion)
|
| 45 |
+
│ │
|
| 46 |
+
└────────┬───────────────────┘
|
| 47 |
+
│ Darwin V7 MRI-aware merge
|
| 48 |
+
▼
|
| 49 |
+
Darwin-28B-KR ← this model (2nd-gen mother)
|
| 50 |
+
```
|
| 51 |
+
|
| 52 |
+
## ⚙️ 구성 능력
|
| 53 |
+
|
| 54 |
+
| 능력 | 출처 | 강도 |
|
| 55 |
+
|---|---|---|
|
| 56 |
+
| 한국어 이해/생성 | Darwin-27B-KR 계열 | ⭐⭐⭐⭐⭐ |
|
| 57 |
+
| 영어 추론 | Darwin-28B-Opus 계열 | ⭐⭐⭐⭐ |
|
| 58 |
+
| 멀티모달 (이미지/비디오) | Darwin-28B-Opus 보존 | ⭐⭐⭐⭐ |
|
| 59 |
+
| 한국어 추론 (CSAT/PSAT) | 통합 효과 | ⭐⭐⭐⭐⭐ |
|
| 60 |
+
| 영한 코드스위칭 | 통합 효과 | ⭐⭐⭐⭐ |
|
| 61 |
+
|
| 62 |
+
## 📊 Specs
|
| 63 |
+
|
| 64 |
+
| | |
|
| 65 |
+
|---|---|
|
| 66 |
+
| Architecture | Qwen3_5ForConditionalGeneration (hybrid full + linear attention) |
|
| 67 |
+
| Parameters | ~28B |
|
| 68 |
+
| Hidden size | 5120 |
|
| 69 |
+
| Layers | 64 |
|
| 70 |
+
| Vocab size | 248,320 |
|
| 71 |
+
| Format | bfloat16 (52 GB on disk) |
|
| 72 |
+
| Context | 8K~32K (deployment dependent) |
|
| 73 |
+
|
| 74 |
+
## 🚀 Usage
|
| 75 |
+
|
| 76 |
+
### vLLM (recommended)
|
| 77 |
+
|
| 78 |
+
```bash
|
| 79 |
+
vllm serve FINAL-Bench/Darwin-28B-KR \
|
| 80 |
+
--trust-remote-code \
|
| 81 |
+
--port 8000 \
|
| 82 |
+
--enforce-eager \
|
| 83 |
+
--max-model-len 8192 \
|
| 84 |
+
--gpu-memory-utilization 0.85
|
| 85 |
+
```
|
| 86 |
+
|
| 87 |
+
### OpenAI-compatible client
|
| 88 |
+
|
| 89 |
+
```python
|
| 90 |
+
from openai import OpenAI
|
| 91 |
+
|
| 92 |
+
client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
|
| 93 |
+
response = client.chat.completions.create(
|
| 94 |
+
model="FINAL-Bench/Darwin-28B-KR",
|
| 95 |
+
messages=[{"role": "user", "content": "한국의 광복절은 무엇을 기념하는 날인가요?"}],
|
| 96 |
+
max_tokens=2048,
|
| 97 |
+
temperature=0.0,
|
| 98 |
+
)
|
| 99 |
+
```
|
| 100 |
+
|
| 101 |
+
## 🖥️ Hardware
|
| 102 |
+
|
| 103 |
+
| GPU family | Status |
|
| 104 |
+
|---|---|
|
| 105 |
+
| NVIDIA Blackwell (B200) | ✅ Best |
|
| 106 |
+
| NVIDIA Hopper (H100/H200) | ✅ Recommended |
|
| 107 |
+
| NVIDIA Ada (L40S) | ⚠️ Marginal (52 GB BF16) |
|
| 108 |
+
| Older Ampere | ❌ Insufficient VRAM |
|
| 109 |
+
|
| 110 |
+
**Minimum VRAM**: ~55 GB for inference at BF16.
|
| 111 |
+
|
| 112 |
+
## 🌳 2세대 도메인 특화 모델 개발 (예정)
|
| 113 |
+
|
| 114 |
+
이 모체에서 파생될 예정인 한국어 특화 변종들:
|
| 115 |
+
|
| 116 |
+
- **Darwin-28B-KR-Legal** — 법률 도메인 SFT
|
| 117 |
+
- **Darwin-28B-KR-Medical** — 의료 도메인 SFT
|
| 118 |
+
- **Darwin-28B-KR-Finance** — 금융 도메인 SFT
|
| 119 |
+
- **Darwin-28B-KR-Code** — 한국어 주석 코드 생성
|
| 120 |
+
- **Darwin-28B-KR-MFP4** — 메모리 효율 양자화 버전
|
| 121 |
+
|
| 122 |
+
각 변종은 이 모델을 base로 하여 도메인 데이터로 미세조정/머지됩니다.
|
| 123 |
+
|
| 124 |
+
## 🙏 Credits
|
| 125 |
+
|
| 126 |
+
- Architecture lineage: Qwen3.5 (Alibaba Qwen team)
|
| 127 |
+
- Father: [FINAL-Bench/Darwin-28B-Opus](https://huggingface.co/FINAL-Bench/Darwin-28B-Opus)
|
| 128 |
+
- Mother: [FINAL-Bench/Darwin-27B-KR](https://huggingface.co/FINAL-Bench/Darwin-27B-KR)
|
| 129 |
+
- Merge methodology: Darwin V7 MRI-aware evolutionary merge
|
| 130 |
+
|
| 131 |
+
## 📜 License
|
| 132 |
+
|
| 133 |
+
Apache 2.0 (inherited from base models).
|
chat_template.jinja
ADDED
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@@ -0,0 +1,88 @@
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{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- 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>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant
|
| 86 |
+
<think>
|
| 87 |
+
' }}
|
| 88 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": null,
|
| 6 |
+
"torch_dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 248046,
|
| 8 |
+
"image_token_id": 248056,
|
| 9 |
+
"language_model_only": false,
|
| 10 |
+
"model_name": "unsloth/Qwen3.6-27B",
|
| 11 |
+
"model_type": "qwen3_5",
|
| 12 |
+
"pad_token_id": 248055,
|
| 13 |
+
"text_config": {
|
| 14 |
+
"attention_bias": false,
|
| 15 |
+
"attention_dropout": 0.0,
|
| 16 |
+
"attn_output_gate": true,
|
| 17 |
+
"bos_token_id": 248044,
|
| 18 |
+
"torch_dtype": "bfloat16",
|
| 19 |
+
"eos_token_id": 248044,
|
| 20 |
+
"full_attention_interval": 4,
|
| 21 |
+
"head_dim": 256,
|
| 22 |
+
"hidden_act": "silu",
|
| 23 |
+
"hidden_size": 5120,
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 17408,
|
| 26 |
+
"layer_types": [
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"linear_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"linear_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"linear_attention",
|
| 65 |
+
"linear_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"linear_attention",
|
| 69 |
+
"linear_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"linear_attention",
|
| 73 |
+
"linear_attention",
|
| 74 |
+
"full_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"linear_attention",
|
| 77 |
+
"linear_attention",
|
| 78 |
+
"full_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"linear_attention",
|
| 81 |
+
"linear_attention",
|
| 82 |
+
"full_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"linear_attention",
|
| 85 |
+
"linear_attention",
|
| 86 |
+
"full_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"linear_attention",
|
| 89 |
+
"linear_attention",
|
| 90 |
+
"full_attention"
|
| 91 |
+
],
|
| 92 |
+
"linear_conv_kernel_dim": 4,
|
| 93 |
+
"linear_key_head_dim": 128,
|
| 94 |
+
"linear_num_key_heads": 16,
|
| 95 |
+
"linear_num_value_heads": 48,
|
| 96 |
+
"linear_value_head_dim": 128,
|
| 97 |
+
"mamba_ssm_dtype": "float32",
|
| 98 |
+
"max_position_embeddings": 262144,
|
| 99 |
+
"model_type": "qwen3_5_text",
|
| 100 |
+
"mtp_num_hidden_layers": 1,
|
| 101 |
+
"mtp_use_dedicated_embeddings": false,
|
| 102 |
+
"num_attention_heads": 24,
|
| 103 |
+
"num_hidden_layers": 64,
|
| 104 |
+
"num_key_value_heads": 4,
|
| 105 |
+
"output_gate_type": "swish",
|
| 106 |
+
"pad_token_id": null,
|
| 107 |
+
"partial_rotary_factor": 0.25,
|
| 108 |
+
"rms_norm_eps": 1e-06,
|
| 109 |
+
"rope_parameters": {
|
| 110 |
+
"mrope_interleaved": true,
|
| 111 |
+
"mrope_section": [
|
| 112 |
+
11,
|
| 113 |
+
11,
|
| 114 |
+
10
|
| 115 |
+
],
|
| 116 |
+
"partial_rotary_factor": 0.25,
|
| 117 |
+
"rope_theta": 10000000,
|
| 118 |
+
"rope_type": "default"
|
| 119 |
+
},
|
| 120 |
+
"tie_word_embeddings": false,
|
| 121 |
+
"use_cache": true,
|
| 122 |
+
"vocab_size": 248320
|
| 123 |
+
},
|
| 124 |
+
"tie_word_embeddings": false,
|
| 125 |
+
"unsloth_version": "2026.4.7",
|
| 126 |
+
"use_cache": false,
|
| 127 |
+
"video_token_id": 248057,
|
| 128 |
+
"vision_config": {
|
| 129 |
+
"deepstack_visual_indexes": [],
|
| 130 |
+
"depth": 27,
|
| 131 |
+
"torch_dtype": "bfloat16",
|
| 132 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 133 |
+
"hidden_size": 1152,
|
| 134 |
+
"in_channels": 3,
|
| 135 |
+
"initializer_range": 0.02,
|
| 136 |
+
"intermediate_size": 4304,
|
| 137 |
+
"model_type": "qwen3_5",
|
| 138 |
+
"num_heads": 16,
|
| 139 |
+
"num_position_embeddings": 2304,
|
| 140 |
+
"out_hidden_size": 5120,
|
| 141 |
+
"patch_size": 16,
|
| 142 |
+
"spatial_merge_size": 2,
|
| 143 |
+
"temporal_patch_size": 2
|
| 144 |
+
},
|
| 145 |
+
"vision_end_token_id": 248054,
|
| 146 |
+
"vision_start_token_id": 248053
|
| 147 |
+
}
|
darwin_mri_report.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"method": "Darwin V7+ MRI-only (Mother-centric Linear) - dense 27B",
|
| 3 |
+
"father": "models/Father-Qwen3.6-27B",
|
| 4 |
+
"mother": "models/Mother-rico03",
|
| 5 |
+
"mother_bias": 0.85,
|
| 6 |
+
"category_ratios": {
|
| 7 |
+
"self_attention": 0.9,
|
| 8 |
+
"linear_attn": 0.9,
|
| 9 |
+
"mlp": 0.9,
|
| 10 |
+
"embedding": 1.0,
|
| 11 |
+
"lm_head": 1.0,
|
| 12 |
+
"norm": 0.95,
|
| 13 |
+
"other": 0.85
|
| 14 |
+
},
|
| 15 |
+
"tensor_categories": {
|
| 16 |
+
"self_attention": 210,
|
| 17 |
+
"linear_attn": 432,
|
| 18 |
+
"mlp": 195,
|
| 19 |
+
"embedding": 5,
|
| 20 |
+
"lm_head": 1,
|
| 21 |
+
"norm": 243,
|
| 22 |
+
"other": 113
|
| 23 |
+
},
|
| 24 |
+
"total_tensors": 1199,
|
| 25 |
+
"total_shards": 14,
|
| 26 |
+
"elapsed_sec": 252
|
| 27 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95
|
| 12 |
+
}
|
model-00001-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86df42517669a86ad5aac1c49776c5a97b36ab72ccb796da209ec07bd17c9013
|
| 3 |
+
size 2542796896
|
model-00002-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f01f9d580d6704e24b2e5d7fb6f7d44124c97dd37b8b3bf3ec61345fd029b3a8
|
| 3 |
+
size 4244742312
|
model-00003-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7356dba404efa733636cc73fe4eadc4b3066d815036017ae6acb9836f0253c1
|
| 3 |
+
size 4250052512
|
model-00004-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:551628a51003dd2e57ed6b774fc86939ae4f1430548c3a39817bf717d7a27335
|
| 3 |
+
size 4178783544
|
model-00005-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:162e361b64488c69d6cb553a83a3adf0a46867cb0163a98c3a63d1c0d8406952
|
| 3 |
+
size 4167220840
|
model-00006-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0f93014ca10683e83c8e0811dfbef877d0781a8e5ef610302810a8e99d0edd5
|
| 3 |
+
size 4198700520
|
model-00007-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8017e7655de6ed3f34bedaea70ead3c4f1a8f87642d4ecb07c49bc60efad1c04
|
| 3 |
+
size 4187137824
|
model-00008-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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preprocessor_config.json
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tokenizer_config.json
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|
| 1 |
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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"is_local": false,
|
| 13 |
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"model_max_length": 262144,
|
| 14 |
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"model_specific_special_tokens": {
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
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|
| 21 |
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|
| 22 |
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},
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| 23 |
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|
| 24 |
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"padding_side": "right",
|
| 25 |
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
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"processor_class": "Qwen3VLProcessor",
|
| 27 |
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"split_special_tokens": false,
|
| 28 |
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"tokenizer_class": "TokenizersBackend",
|
| 29 |
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"unk_token": null,
|
| 30 |
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|
| 31 |
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"vision_bos_token": "<|vision_start|>",
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| 32 |
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|
| 33 |
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"added_tokens_decoder": {
|
| 34 |
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"248044": {
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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},
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| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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| 97 |
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|
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|
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| 101 |
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| 102 |
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|
| 105 |
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|
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|
| 108 |
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| 110 |
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| 111 |
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| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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|
| 119 |
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|
| 121 |
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| 122 |
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|
| 123 |
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|
| 124 |
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|
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|
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|
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|
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
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|
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
+
"content": "<|fim_middle|>",
|
| 172 |
+
"single_word": false,
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"rstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"special": false
|
| 177 |
+
},
|
| 178 |
+
"248062": {
|
| 179 |
+
"content": "<|fim_suffix|>",
|
| 180 |
+
"single_word": false,
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"rstrip": false,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"special": false
|
| 185 |
+
},
|
| 186 |
+
"248063": {
|
| 187 |
+
"content": "<|fim_pad|>",
|
| 188 |
+
"single_word": false,
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"rstrip": false,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"special": false
|
| 193 |
+
},
|
| 194 |
+
"248064": {
|
| 195 |
+
"content": "<|repo_name|>",
|
| 196 |
+
"single_word": false,
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"rstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"special": false
|
| 201 |
+
},
|
| 202 |
+
"248065": {
|
| 203 |
+
"content": "<|file_sep|>",
|
| 204 |
+
"single_word": false,
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"rstrip": false,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"special": false
|
| 209 |
+
},
|
| 210 |
+
"248066": {
|
| 211 |
+
"content": "<tool_response>",
|
| 212 |
+
"single_word": false,
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"rstrip": false,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"special": false
|
| 217 |
+
},
|
| 218 |
+
"248067": {
|
| 219 |
+
"content": "</tool_response>",
|
| 220 |
+
"single_word": false,
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"rstrip": false,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"special": false
|
| 225 |
+
},
|
| 226 |
+
"248068": {
|
| 227 |
+
"content": "<think>",
|
| 228 |
+
"single_word": false,
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"rstrip": false,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"special": false
|
| 233 |
+
},
|
| 234 |
+
"248069": {
|
| 235 |
+
"content": "</think>",
|
| 236 |
+
"single_word": false,
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"rstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"special": false
|
| 241 |
+
},
|
| 242 |
+
"248070": {
|
| 243 |
+
"content": "<|audio_start|>",
|
| 244 |
+
"single_word": false,
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"rstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"special": true
|
| 249 |
+
},
|
| 250 |
+
"248071": {
|
| 251 |
+
"content": "<|audio_end|>",
|
| 252 |
+
"single_word": false,
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"rstrip": false,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"special": true
|
| 257 |
+
},
|
| 258 |
+
"248072": {
|
| 259 |
+
"content": "<tts_pad>",
|
| 260 |
+
"single_word": false,
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"rstrip": false,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"special": true
|
| 265 |
+
},
|
| 266 |
+
"248073": {
|
| 267 |
+
"content": "<tts_text_bos>",
|
| 268 |
+
"single_word": false,
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"rstrip": false,
|
| 271 |
+
"normalized": false,
|
| 272 |
+
"special": true
|
| 273 |
+
},
|
| 274 |
+
"248074": {
|
| 275 |
+
"content": "<tts_text_eod>",
|
| 276 |
+
"single_word": false,
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"rstrip": false,
|
| 279 |
+
"normalized": false,
|
| 280 |
+
"special": true
|
| 281 |
+
},
|
| 282 |
+
"248075": {
|
| 283 |
+
"content": "<tts_text_bos_single>",
|
| 284 |
+
"single_word": false,
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"rstrip": false,
|
| 287 |
+
"normalized": false,
|
| 288 |
+
"special": true
|
| 289 |
+
},
|
| 290 |
+
"248076": {
|
| 291 |
+
"content": "<|audio_pad|>",
|
| 292 |
+
"single_word": false,
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"rstrip": false,
|
| 295 |
+
"normalized": false,
|
| 296 |
+
"special": true
|
| 297 |
+
}
|
| 298 |
+
},
|
| 299 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- 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>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n<think>\n' }}\n{%- endif %}"
|
| 300 |
+
}
|