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Model: AMAImedia/NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- kk
+- ru
+- en
+tags:
+- qwen3
+- kazakh
+- dare-ties
+- merge
+- noesis
+- dhcf-fno
+- 600m
+base_model:
+- ekitil/ekitil-core-qwen3-600m-kkru-base-v1
+- ekitil/ekitil-qwen3-600m-kk
+- ekitil/ekitil-qwen3-600m-kkru
+pipeline_tag: text-generation
+---
+
+# NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16
+
+**DARE-TIES merge of three Kazakh/Russian Qwen3-600M models, producing a stronger KK/RU specialist.**
+
+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:** v14.7
+- **Release date:** 2026-04
+
+---
+
+## Model summary
+
+| Property | Value |
+| --- | --- |
+| Architecture | `Qwen3ForCausalLM` |
+| Parameters | ~600M |
+| Hidden size | 1 280 |
+| Layers | 28 |
+| Vocab size | 64 000 (custom KK/RU tokenizer) |
+| Precision | BF16 |
+| Disk footprint | ~1.3 GB |
+| Merge method | DARE-TIES (RNG seed 1729) |
+| Primary language | Kazakh (KK) |
+| Secondary language | Russian (RU) |
+
+---
+
+## Source models
+
+| Model | Role | Weight | Density |
+| --- | --- | --- | --- |
+| `ekitil-core-qwen3-600m-kkru-base-v1` | Base (foundation) | -- | -- |
+| `ekitil-qwen3-600m-kk` (step 4500) | KK specialist | 0.45 | 0.53 |
+| `ekitil-qwen3-600m-kkru` (step 2000) | KK+RU generalist | 0.35 | 0.53 |
+
+The base model provides the foundation architecture. DARE randomly drops (1 - density) of each
+task vector's weights and rescales survivors, then TIES elects majority-sign directions before
+summing into the merged model.
+
+---
+
+## Why this merge
+
+Each source model captures a different aspect of Kazakh language:
+- **ekitil-core** -- balanced KK+RU base
+- **ekitil-kk** -- maximally Kazakh-specialized (4 500 training steps)
+- **ekitil-kkru** -- bilingual KK+RU (2 000 training steps)
+
+DARE-TIES combines all three while suppressing conflicting parameter updates, producing better
+KK coverage than any single model alone.
+
+---
+
+## How to use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "AMAImedia/NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [{"role": "user", "content": "Salem! Qazaq tilinde soylesesik."}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+out = model.generate(**inputs, max_new_tokens=256, do_sample=True, temperature=0.7)
+print(tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
+```
+
+> **Note:** `vocab_size=64000` -- custom Kazakh tokenizer, not Qwen3 standard 151 936.
+> Not compatible with standard Qwen3 tokenizer pipelines.
+
+---
+
+## NOESIS context
+
+In NOESIS this model provides **Kazakh language domain boost** (KK x10 weight multiplier)
+for the DUB-LM and CHAT specialists during knowledge distillation.
+
+> **KD note:** `vocab_size=64000` is incompatible with NOESIS student vocab (151 936).
+> Soft label extraction requires a custom cross-vocab projection layer.
+
+---
+
+## Provenance
+
+A `merge_provenance.json` file ships alongside the model weights with the full merge trace:
+source models, weights, densities, DARE-TIES parameters, and RNG seed.
+
+---
+
+## License
+
+This model is released under the **Apache License 2.0**, inherited from the upstream Qwen3
+base and ekitil model checkpoints. See the `LICENSE` file for the full license text.
+
+---
+
+## Citation
+
+```bibtex
+@misc{noesis_darwin_kz,
+  title     = {NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16},
+  author    = {Bolotnikov, Ilia},
+  year      = {2026},
+  publisher = {AMAImedia},
+  url       = {https://amaimedia.com}
+}
+```

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 4480,
+  "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"
+  ],
+  "max_position_embeddings": 2048,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 64000,
+  "_name_or_path": "amaimedia/NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "transformers_version": "5.5.0",
+  "use_cache": true
+}

merge_provenance.json

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+{
+  "noesis_version": "v14.7",
+  "method": "DARE-TIES",
+  "seed": 1729,
+  "base": "B:\\Downloads\\Portable\\NOESIS-VC-ONE\\models\\llm\\sozkz\\ekitil-core-qwen3-600m-kkru-base-v1",
+  "models": [
+    {
+      "path": "B:\\Downloads\\Portable\\NOESIS-VC-ONE\\models\\llm\\sozkz\\ekitil-qwen3-600m-kk\\step_4500",
+      "weight": 0.45,
+      "density": 0.53
+    },
+    {
+      "path": "B:\\Downloads\\Portable\\NOESIS-VC-ONE\\models\\llm\\sozkz\\ekitil-qwen3-600m-kkru\\step_2000",
+      "weight": 0.35,
+      "density": 0.53
+    }
+  ],
+  "output": "B:\\Downloads\\Portable\\NOESIS-VC-ONE\\models\\llm\\NOESIS-Qwen3-0.6B-Darwin-Ekitil-Sozkz-KZ-BF16"
+}

model.safetensors

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+oid sha256:d6f60bdbfcc6ba457fb1a3a1374d88213315f75db26139fe31abbfe8a03b149a
+size 1347608416

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "is_local": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "TokenizersBackend"
+}