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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* 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
+tekken.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,145 @@
+---
+license: apache-2.0
+base_model:
+  - mistralai/Devstral-2-123B-Instruct-2512
+  - mistralai/Mistral-Medium-3.5-128B
+tags:
+  - darwin
+  - darwin-v7
+  - mistral
+  - merge
+  - mri-merge
+  - layer-band-asymmetric
+language:
+  - en
+  - ko
+pipeline_tag: text-generation
+inference: false
+---
+
+# Darwin-Mistral-G1
+
+**Darwin × Mistral 진화적 머지 1세대 (G1)** — Devstral-2-123B(코딩) × Mistral-Medium-3.5-128B(추론·범용) 의 **Darwin V7+ MRI-only Linear merge** 결과물.
+
+> VIDRAFT R&D · 2026-05-16
+> 작업지시서 v1.0 (김태봉 CAIO) 옵션 A 채택 결과
+
+## 주요 결과 (Quick)
+
+| Benchmark | Score | Note |
+|---|---|---|
+| GPQA Diamond 20 (seed 42) | **45.0%** (9/20) | Mother 수준 회복 — Devstral 50% / MM3.5 45% 사이 |
+| HumanEval 20 pass@1 (seed 42) | **🔥 90.0%** (18/20) | Devstral 코딩 능력 완벽 보존 |
+| Sanity (수학·코드·한국어) | ✅ 3/3 | 17×23=391, fibonacci code, 한국어 번역 정상 |
+
+## 머지 사양
+
+### 부모
+- **Father (코딩)**: `mistralai/Devstral-2-123B-Instruct-2512` — Ministral3ForCausalLM, hidden 12288, layers 88, vocab 131072, FP8 + BF16
+- **Mother (추론·멀티모달 베이스)**: `mistralai/Mistral-Medium-3.5-128B` — Mistral3ForConditionalGeneration text branch (vision 제외), 동일 spec
+
+### 방법
+- **Engine**: Darwin V7+ MRI-only (Linear blend, no SLERP)
+- **Blend**: `(1 - r_mother) * Father + r_mother * Mother` per tensor
+- **Prefix remap**: Mother `model.language_model.X` → `model.X` (Ministral3 namespace 통일)
+- **Vision exclusion**: G1에서 Pixtral vision_tower + multi_modal_projector 제외 (G2에서 통합 예정)
+
+### Layer-band 비대칭 (작업지시서 v1.0 §3-2)
+| Layer 구간 | r_mother | 의도 |
+|---|---|---|
+| 0~29 (low) | 0.25 | Father(Devstral) 우세 — 토큰 표현·코드 구문 보존 |
+| 30~59 (mid) | 0.70 | Mother 우세 — 추론 체인 강화 |
+| 60~87 (high) | 0.50 | 균등 — 출력 품질·인스트럭션 |
+
+### Category ratio (Mother bias)
+| Category | r_mother | 비고 |
+|---|---|---|
+| **embedding** | **0.00** | Father 100% — 토큰 매핑 보존 (v1 1.00 시 random 손상 확인) |
+| **lm_head** | **0.00** | Father 100% — 출력 매핑 보존 |
+| attention | 0.50 | 균등 — Devstral reasoning 회복 |
+| norm | 0.50 | 균등 — LayerNorm 통계 |
+| router/shared_expert/routed_expert | n/a | Mistral dense라 해당 없음 |
+
+### 머지 통계
+- Total tensors merged: 2,027 (Father + Mother 공통)
+- Mother vision skipped: 438 (vision_tower + multi_modal_projector + patch_merger)
+- Output: 32 shards / 128.2 GB (FP8 + BF16 dtype 유지)
+- Elapsed: 5.0 min (CPU bound, single-thread safetensors I/O)
+
+## 평가 결과 (전체)
+
+### GPQA Diamond 20 (seed 42, transformers + finegrained-fp8 kernel)
+| 모델 | 정답/총 | 정확도 |
+|---|---|---|
+| Devstral-2-123B (Father) | 10/20 | 50.0% |
+| Mistral-Medium-3.5-128B (Mother) | 9/20 | 45.0% |
+| Darwin-Mistral-G1 v1 (failed) | 5/20 | 25.0% (random) |
+| **Darwin-Mistral-G1 v2 (this)** | **9/20** | **45.0%** ✅ |
+
+### HumanEval 20 pass@1 (seed 42)
+- **G1 v2: 18/20 = 90.0%** (284초)
+- Devstral baseline 유지 (Devstral 공개 85-90%)
+- Linear merge로 코딩 SOTA 보존 사례
+
+## V1 → V2 진단 (재발 방지)
+
+V1 실패 원인 (GPQA 25% random level):
+1. **embedding/lm_head Mother 100% → Father 토큰·출력 매핑 완전 소실**
+2. layer-band × category ratio 곱셈 보정으로 attention 항상 Mother 쪽으로 끌림
+
+V2 fix:
+1. embedding/lm_head Father 100%
+2. attention 0.90 → 0.50
+3. layer-band 단순 적용 (곱셈 보정 제거)
+
+## 사용
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# 의존성: pip install --user kernels  (transformers 5.5.x finegrained-fp8 kernel)
+model = AutoModelForCausalLM.from_pretrained(
+    "FINAL-Bench/Darwin-Mistral-G1",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True,
+)
+tok = AutoTokenizer.from_pretrained("FINAL-Bench/Darwin-Mistral-G1")
+messages = [{"role": "user", "content": "Write a Python function to compute Fibonacci."}]
+text = tok.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inp = tok(text, return_tensors="pt").to(model.device)
+out = model.generate(**inp, max_new_tokens=256, do_sample=False)
+print(tok.decode(out[0][inp.input_ids.shape[1]:], skip_special_tokens=True))
+```
+
+**환경 요구사항**:
+- `transformers >= 5.5.0`
+- `kernels >= 0.14.0` (finegrained-fp8 kernel 자동 다운로드)
+- `torch >= 2.10` (FP8 E4M3 지원)
+- GPU: 단일 H100/B200 80GB+ (FP8 inference 시 약 128GB → 다중 GPU 권장)
+
+## 한계
+
+- **GPQA 80% 목표 미달**: 작업지시서 §4-3 GPQA >80%는 원래 Darwin-36B-Opus 86.9% baseline 가정. 옵션 A에서 Mother를 Mistral-3.5 (45%)로 변경했기에 도달 불가.
+- **G2 진행**: Pixtral 비전 인코더 통합 + Darwin-36B-Opus cross-arch 통합은 별도 트랙 (G2/G3).
+- **SWE-Bench 미측정**: 별도 평가 환경 필요.
+
+## License & Attribution
+
+Apache-2.0 (Devstral-2-123B-Instruct-2512와 Mistral-Medium-3.5-128B 모두 Apache 2.0).
+머지 엔진은 VIDRAFT Darwin V7+ MRI-only (proprietary).
+
+## 인용
+
+```bibtex
+@misc{darwin-mistral-g1-2026,
+  title = {Darwin-Mistral-G1: Linear MRI Merge of Devstral-2-123B and Mistral-Medium-3.5-128B},
+  author = {VIDRAFT R&D},
+  year = {2026},
+  url = {https://huggingface.co/FINAL-Bench/Darwin-Mistral-G1}
+}
+```
+
+---
+**VIDRAFT Inc.** | 김태봉 CAIO | CONFIDENTIAL (private repo until publication)

chat_template.jinja

@@ -0,0 +1,117 @@
+{#- Default system message if no system prompt is passed. #}
+{%- set default_system_message = '' %}
+
+{#- Begin of sequence token. #}
+{{- bos_token }}
+
+{#- Handle system prompt if it exists. #}
+{#- System prompt supports text content or text chunks. #}
+{%- if messages[0]['role'] == 'system' %}
+    {{- '[SYSTEM_PROMPT]' -}}
+    {%- if messages[0]['content'] is string %}
+        {{- messages[0]['content'] -}}
+    {%- else %}        
+        {%- for block in messages[0]['content'] %}
+            {%- if block['type'] == 'text' %}
+                {{- block['text'] }}
+            {%- else %}
+                {{- raise_exception('Only text chunks are supported in system message contents.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+    {{- '[/SYSTEM_PROMPT]' -}}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+    {%- if default_system_message != '' %}
+        {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
+    {%- endif %}
+{%- endif %}
+
+
+{#- Tools definition #}
+{%- set tools_definition = '' %}
+{%- set has_tools = false %}
+{%- if tools is defined and tools is not none and tools|length > 0 %}
+    {%- set has_tools = true %}
+    {%- set tools_definition = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
+    {{- tools_definition }}
+{%- endif %}
+
+{#- Checks for alternating user/assistant messages. #}
+{%- set ns = namespace() %}
+{%- set ns.index = 0 %}
+{%- for message in loop_messages %}
+    {%- if message.role == 'user' or (message.role == 'assistant' and (message.tool_calls is not defined or message.tool_calls is none or message.tool_calls | length == 0)) %}
+        {%- if (message['role'] == 'user') != (ns.index % 2 == 0) %}
+            {{- raise_exception('After the optional system message, conversation roles must alternate user and assistant roles except for tool calls and results.') }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{#- Handle conversation messages. #}
+{%- for message in loop_messages %}
+
+    {#- User messages supports text content. #}
+    {%- if message['role'] == 'user' %}
+        {%- if message['content'] is string %}
+            {{- '[INST]' + message['content'] + '[/INST]' }}
+        {%- elif message['content'] | length > 0 %}
+            {{- '[INST]' }}
+            {%- set sorted_blocks = message['content'] | sort(attribute='type') %}
+            {%- for block in sorted_blocks %}
+                {%- if block['type'] == 'text' %}
+                    {{- block['text'] }}
+                {%- else %}
+                    {{- raise_exception('Only text chunks are supported in user message content.') }}
+                {%- endif %}
+            {%- endfor %}
+            {{- '[/INST]' }}
+        {%- else %}
+            {{- raise_exception('User message must have a string or a list of chunks in content') }}
+        {%- endif %}
+
+    {#- Assistant messages supports text content or text chunks. #}
+    {%- elif message['role'] == 'assistant' %}
+        {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}
+            {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}
+        {%- endif %}
+
+        {%- if message['content'] is string and message['content'] != '' %}
+            {{- message['content'] }}
+        {%- elif message['content'] | length > 0 %}
+            {%- for block in message['content'] %}
+                {%- if block['type'] == 'text' %}
+                    {{- block['text'] }}
+                {%- else %}
+                    {{- raise_exception('Only text chunks are supported in assistant message contents.') }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+
+        {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
+            {%- for tool in message['tool_calls'] %}
+                {{- '[TOOL_CALLS]' }}
+                {%- set name = tool['function']['name'] %}
+                {%- set arguments = tool['function']['arguments'] %}
+                {%- if arguments is not string %}
+                    {%- set arguments = arguments|tojson|safe %}
+                {%- elif arguments == '' %}
+                    {%- set arguments = '{}' %}
+                {%- endif %}
+                {{- name + '[ARGS]' + arguments }}
+            {%- endfor %}
+        {%- endif %}
+
+        {{- eos_token }}
+
+    {#- Tool messages only supports text content. #}
+    {%- elif message['role'] == 'tool' %}
+        {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
+
+    {#- Raise exception for unsupported roles. #}
+    {%- else %}
+        {{- raise_exception('Only user, assistant and tool roles are supported, got ' + message['role'] + '.') }}
+    {%- endif %}
+{%- endfor %}

config.json

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+{
+  "architectures": [
+    "Ministral3ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 12288,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 262144,
+  "model_type": "ministral3",
+  "num_attention_heads": 96,
+  "num_hidden_layers": 88,
+  "num_key_value_heads": 8,
+  "pad_token_id": 11,
+  "quantization_config": {
+    "activation_scheme": "static",
+    "dequantize": false,
+    "modules_to_not_convert": [
+      "model.vision_tower",
+      "model.multi_modal_projector",
+      "lm_head"
+    ],
+    "quant_method": "fp8",
+    "weight_block_size": null
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "beta_fast": 4.0,
+    "beta_slow": 1.0,
+    "factor": 64.0,
+    "mscale": 1.0,
+    "mscale_all_dim": 0.0,
+    "original_max_position_embeddings": 4096,
+    "llama_4_scaling_beta": 0.0,
+    "rope_theta": 1000000.0,
+    "rope_type": "yarn",
+    "type": "yarn"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.0.0.dev0",
+  "use_cache": true,
+  "vocab_size": 131072
+}

darwin_g1_report.json

@@ -0,0 +1,41 @@
+{
+  "method": "Darwin V7+ MRI-only G1 v2 (Father embed/lm_head/attn보존 + layer-band 단순)",
+  "father": "/NHNHOME/darwin-mistral-merge/parents/Devstral-2-123B-Instruct-2512",
+  "mother": "/NHNHOME/darwin-mistral-merge/parents/Mistral-Medium-3.5-128B",
+  "father_arch": "Ministral3ForCausalLM (Devstral-2-123B)",
+  "mother_arch": "Mistral3ForConditionalGeneration (Mistral-Medium-3.5-128B)",
+  "mri_trust": 0.7,
+  "category_ratios": {
+    "attention": 0.5,
+    "router": 1.0,
+    "shared_expert": 0.9,
+    "routed_expert": 0.8,
+    "embedding": 0.0,
+    "lm_head": 0.0,
+    "norm": 0.5,
+    "other": 0.85
+  },
+  "layer_band_ratios": {
+    "0~29": 0.25,
+    "30~59": 0.7,
+    "60~87": 0.5
+  },
+  "tensor_categories": {
+    "lm_head": 1,
+    "embedding": 1,
+    "norm": 89,
+    "other": 792,
+    "attention": 1144
+  },
+  "layer_band_counts": {
+    "low": 690,
+    "mid": 690,
+    "high": 644,
+    "non-layer": 3
+  },
+  "total_keys_merged": 2027,
+  "mother_vision_skipped": 438,
+  "total_shards": 32,
+  "total_size_gb": 128.25,
+  "elapsed_sec": 301
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 11,
+  "max_length": 262144,
+  "do_sample": true,
+  "temperature": 0.15,
+  "transformers_version": "5.0.0.dev0"
+}

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+    "<SPECIAL_704>",
+    "<SPECIAL_705>",
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+    "<SPECIAL_713>",
+    "<SPECIAL_714>",
+    "<SPECIAL_715>",
+    "<SPECIAL_716>",
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+    "<SPECIAL_722>",
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+    "<SPECIAL_725>",
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+    "<SPECIAL_727>",
+    "<SPECIAL_728>",
+    "<SPECIAL_729>",
+    "<SPECIAL_730>",
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+    "<SPECIAL_744>",
+    "<SPECIAL_745>",
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+    "<SPECIAL_751>",
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+    "<SPECIAL_759>",
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+    "<SPECIAL_772>",
+    "<SPECIAL_773>",
+    "<SPECIAL_774>",
+    "<SPECIAL_775>",
+    "<SPECIAL_776>",
+    "<SPECIAL_777>",
+    "<SPECIAL_778>",
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+    "<SPECIAL_781>",
+    "<SPECIAL_782>",
+    "<SPECIAL_783>",
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+    "<SPECIAL_785>",
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+    "<SPECIAL_787>",
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+    "<SPECIAL_791>",
+    "<SPECIAL_792>",
+    "<SPECIAL_793>",
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+    "<SPECIAL_796>",
+    "<SPECIAL_797>",
+    "<SPECIAL_798>",
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+    "<SPECIAL_802>",
+    "<SPECIAL_803>",
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+    "<SPECIAL_805>",
+    "<SPECIAL_806>",
+    "<SPECIAL_807>",
+    "<SPECIAL_808>",
+    "<SPECIAL_809>",
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+    "<SPECIAL_813>",
+    "<SPECIAL_814>",
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+    "<SPECIAL_901>",
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+    "<SPECIAL_995>",
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+    "<SPECIAL_997>",
+    "<SPECIAL_998>",
+    "<SPECIAL_999>"
+  ],
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+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
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+  "tokenizer_class": "TokenizersBackend"
+}