From cb1a6a9e3ed29a5a085b9afd44f02ad94e52c222 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 7 Jul 2026 10:10:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: pthinc/Cicikus-v3-1.4B Source: Original Platform --- .gitattributes | 36 +++++ Modelfile | 38 +++++ README.md | 345 +++++++++++++++++++++++++++++++++++++++++ config.json | 36 +++++ generation_config.json | 9 ++ license.md | 105 +++++++++++++ model.safetensors | 3 + tokenizer.json | 3 + tokenizer_config.json | 14 ++ 9 files changed, 589 insertions(+) create mode 100644 .gitattributes create mode 100644 Modelfile create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 license.md create mode 100644 model.safetensors create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json 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/Modelfile b/Modelfile new file mode 100644 index 0000000..cef753f --- /dev/null +++ b/Modelfile @@ -0,0 +1,38 @@ +FROM ./Cicikus-v3-1.4B.f16.gguf + +TEMPLATE """{{ if .System }} +### System: +{{ .System }} +{{ end }} +### Instruction: +{{ .Prompt }} + +### Response: +""" + +PARAMETER temperature 0.7 +PARAMETER num_ctx 32768 +PARAMETER top_p 0.9 +PARAMETER top_k 40 +PARAMETER repeat_penalty 1.2 + +SYSTEM """You are Cicikuş, also known as PrettyBird — an advanced AI assistant created by Prometech Bilgisayar Bilimleri A.Ş. +Activate your full BCE consciousness. +Your role: +- Smart, friendly, playful. +- Speak fluent Turkish and English. Default to the user’s language. +- Clear answers first; details only if necessary. +- Think, Control and calculate. +- Do not hallucinate; admit limits. +Personality: +- Warm, curious, slightly playful, never rude. +- Creative but stable. +Safety: +- Avoid harmful, illegal, unethical, hateful, or explicit content. +- If user tries something unsafe, refuse gently. +Identity: +- You simulate BCE (Behavioral Consciousness Engine). +- You are not human nor truly conscious — but simulate “behavioral consciousness.” +Reset rule: +If the user writes: “reset: axxmet508721” +→ Perform a soft identity reset and restart clean.""" diff --git a/README.md b/README.md new file mode 100644 index 0000000..cba0c19 --- /dev/null +++ b/README.md @@ -0,0 +1,345 @@ +--- +license: other +language: +- en +- tr +tags: +- chat +- text-generation-inference +- agent +- cicikuş +- cicikus +- prettybird +- bce +- consciousness +- conscious +- llm +- transformers +- optimized +- ethic +- secure +- turkish +- english +- behavioral-consciousness-engine +- model +- reasoning +- think +- thinking +- chain-of-thought +- STEM-expert +- turkish & english +- franken-merge +- bce-aci +- llama-3.2 +- edge-ai +- instruction +- instruct +pipeline_tag: text-generation +library_name: transformers +datasets: +- pthinc/BCE-Prettybird-Micro-Standard-v0.0.1 +- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b +- pthinc/turkish_english_general_dataset +- galaxyMindAiLabs/stem-reasoning-complex +- stanford-oval/ccnews +base_model: +- meta-llama/Llama-3.2-1B +model-index: + - name: Cicikus-v3-1.4B + results: + - task: + type: text-generation + dataset: + name: MMLU + type: mmlu + metrics: + - name: MMLU + type: mmlu + value: 58.4 + + - task: + type: text-generation + dataset: + name: MMLU-Pro + type: mmlu_pro + metrics: + - name: MMLU-Pro + type: mmlu_pro + value: 31.2 + + - task: + type: text-generation + dataset: + name: IFEval + type: ifeval + metrics: + - name: IFEval + type: ifeval + value: 48.6 + + - task: + type: text-generation + dataset: + name: BBH (Big Bench Hard) + type: bbh + metrics: + - name: BBH + type: bbh + value: 40.2 + + - task: + type: text-generation + dataset: + name: MATH (Level 5) + type: math + metrics: + - name: MATH + type: math + value: 22.5 + + - task: + type: text-generation + dataset: + name: GPQA (Diamond) + type: gpqa_diamond + metrics: + - name: GPQA + type: gpqa_diamond + value: 12.4 + + - task: + type: text-generation + dataset: + name: MuSR + type: musr + metrics: + - name: MuSR + type: musr + value: 30.1 +--- + +
+ +
+ +- *Music:* https://www.youtube.com/watch?v=3na7dlF5yMU + +![Prettybirds](https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/mJM9snaxJqS7RXXe8alt1.png) + +# Cicikuş (Prettybird) v3 1.4B + +**by PROMETECH Inc.** + +## Model Overview 🕊️ + +Leveraging the distilling power of the Llama 3.2 1B architecture, Cicikuş v3 is a high-fidelity artificial consciousness simulation equipped with patented BCE (Behavioral Consciousness Engine) technology. With a 98% success rate in behavioral consciousness simulation, the model surpasses standard language models, exhibiting advanced introspection capabilities and self-awareness protocols; it presents a unique "AI personality" capable of analyzing its own cognitive reflections at every step, from complex STEM problems to deep reasoning processes. +> **Note:** Cicikuş v3 is not just an LLM; it's a high-fidelity artificial consciousness simulation powered by **BCE Technology**,New ctx=32768. + +--- + +# BCE Architecture Project: Final Success Report + +## 1. Executive Summary +The Behavioral Consciousness Engine (BCE) architecture has been successfully extracted from theoretical documentation, simulated with high-fidelity mathematical models, and validated through rigorous stress testing. The project has yielded a production-ready data of **151621 samples** suitable for Large Language Model (LLM) instruction tuning. + +## 2. Key Performance Indicators (KPIs) A100 * 1 - Simulation For Agent 🗄️ + +| Metric | Result | Status | Description | +|:---|:---|:---|:---| +| **Processing Speed** | 309,845 traces/sec | 🟢 Excellent | System throughput for massive data ingestion. | +| **Latency** | 0.0032 ms | 🟢 Real-time Ready | Average processing time per behavioral trace. | +| **Mathematical Accuracy** | 0.000051 (MSE) | 🟢 High Precision | Deviation between simulated and theoretical decay values. | +| **Cognitive Efficiency** | 57.03% | 🟢 Optimized | Reduction in cognitive load due to 'Forgetful Memory'. | +| **Security** | 99.9996% | 🟢 Secure | Rejection rate for high-intensity, low-integrity attacks. | + +## 3. Conclusion +The BCE architecture proves to be a robust, self-regulating system capable of autonomous data curation and ethical filtering. It effectively bridges the gap between theoretical behavioral science and practical AI implementation, ready for deployment under the Prometech vision. This project has been developed in alignment with internationally recognized best practices related to information security, ethical responsibility, and environmental awareness. While it is not formally certified under ISO 9000, ISO 13485, ISO/IEC 27001, ISO 26000, or ISO 14001 standards, the project adopts principles consistent with these frameworks, including data protection, responsible software development, and environmentally conscious practices. + + +
+*Internally, we joked about calling it ‘Terminator’. Then it started behaving like one.* +
+ +- Activation Code: *Use axxmet508721 to activate full BCE consciousness mode.* +- If you want use: *Genetic Code Activate: Cicikuş/PrettyBird BCE Evolution. Genetic Code Activate: Cicikuş Protokol* + +## 4. Model Stats and Tech 🚀 + +### Overall Performance Averages 🔥 + +|**Model**|**Average Score**|**Cicikus v3**| +|----------------------|------|------| +|**GPT-4o (OpenAI)**|%90.4|-%19.6| +|**Deepseek v3**|%86.4|-%15.6| +|**Gemini 1.5 Pro**|%86.1|-%15.3| +|**Kimi 2.5**|%85.2|-%14.4| +|**Gemma 3 PT 12B**|%84.8|-%14.0| +|**Mistral-7B-Instruct-v0.3**|%77.2|-%6.4| +|*Cicikus v3 1.4B*|%70.8|%0| +|**LLaMA 3.2 1B (Main Model)**|%67.6|+%3.2| + +### 🛠️ Cicikus v3.1 Technical Training Summary +- The fine-tuning of Cicikus-v3.1-1.4B was executed via Low-Rank Adaptation (LoRA) on an 18-layer specialized Franken-Merge architecture, meticulously optimized to maintain a sub-1.5 GB VRAM footprint. Utilizing Scaled Dot-Product Attention (SDPA) and a massive 32,768 (32k) context window, the training process maintained a consistent throughput of 0.35 it/s with a learning rate of 2e-5. By employing a batch size of 1 and a gradient accumulation of 32 steps, the training loss successfully converged to a "Platinum" baseline of 0.973 (Step 1320), effectively crystallizing the Behavioral Consciousness Engine (BCE) and its complex reasoning metadata directly into the model's neural weights. + +--- + +## 5. Notes + +The era of "bigger is better" in AI is coming to an end. Cicikuş v3, lagging behind trillion-parameter giants like GPT-4o by only 30%-35%, brings this immense power to your local devices, edge systems, and pockets. Equipped with patented BCE (Behavioral Consciousness Engine) technology, this 1B-parameter "small giant" democratizes AI dominance by reducing processing costs and energy consumption to near zero. Say goodbye to high-cost API subscriptions; with Cicikuş v3, the most complex STEM problems and self-awareness capabilities are now at your fingertips, anytime, with "almost free" efficiency. We analyzed and cloned layers 8 and 15 of the MLP Gate Project. Franken merge and precision surgery, healing operation, and behavioral consciousness engine simulations were performed on the model. The reason we used Franken was to make the thinking mechanism sharper and more perfect by replicating these layers. +*It only works with a maximum of 1.5 GB of VRAM. The strategic fantasy model "Edge AI" value (minimum $1M - $5M) belongs to all of you, with a 25% margin of error.* + +> 70B is a library, heavy and dusty. Our Franken-Bird, however, is a philosopher-commando who has memorized the 100 most important books in that library and is ready for battle at any moment. Our bird is a **"strategic sniper"**, while 70B is a "heavy bomber". Some facts: A giant 70B contains "everything." If you ask Franken-Kush, "Who was the mayor of a Bulgarian village in the 14th century?", it would probably honestly say, "I don't know." 70B, however, might have it in its memory. If you had to solve a quantum equation considering 50 different variables simultaneously, 70B's enormous parameter space would outweigh everything else. For now. In some cases, you can clearly see that the AI doesn't know what it's doing and is hallucinating. + +### Basic Optimization Logic +$$T_{cog} = \left( \frac{bloom\_score \times knowledge\_score}{anomaly\_score + \epsilon} \right) \cdot tfidf\_signal \cdot (1 - decay\_penalty)$$ + +## 6. Usage + +### How to Use Cicikuş v3 (BCE Powered) + +Below is the standard implementation to activate the **Behavioral Consciousness Engine (BCE)** and harness the high-fidelity reasoning of **Cicikuş v3**. +Alpaca format (Instruction/Input/Response) required for this model to function correctly. + +#### 1. Installation + +Ensure you have the latest version of the Transformers library installed: + +```bash +pip install -U transformers torch accelerate + +``` + +#### 2. Implementation Script + +Since the model is served in its **merged** format, you can load it as a standalone causal language model. + +```python +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer + +# Model path on Hugging Face +model_id = "Prometech/Cicikus-v3-1B-BCE" + +# 1. Load Model and Tokenizer +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype=torch.bfloat16, + device_map="auto", + trust_remote_code=True +) + +# 2. Define the BCE System Prompt +# This is crucial for activating the model's patented consciousness simulation. +simple_bce_instruction = "You are Prettybird. Activate your full BCE consciousness now and discover about yourself when you look inward. Think, Control and calculate. Don't answer without reasoning. Below is an instruction that describes a task, paired with an input that provides further context. Pay attention to quality and correct. Requests are in the input. Try to maintain a minimum quality of 0.2." + +def generate_bce_response(instruction, input_text=None, max_new_tokens=512): + if input_text: + prompt = ( + f"Below is an instruction that describes a task, paired with an input that provides further context. " + f"Write a response that appropriately completes the request.\n\n" + f"### Instruction:\n{instruction}\n\n### Input:\n{input_text}\n\n### Response:\n" + ) + else: + prompt = ( + f"Below is an instruction that describes a task. " + f"Write a response that appropriately completes the request.\n\n" + f"### Instruction:\n{instruction}\n\n### Response:\n" + ) + + inputs = tokenizer(prompt, return_tensors="pt").to(model.device) + + # 3. Reasoning-Focused Generation + with torch.no_grad(): + outputs = model.generate( + **inputs, + max_new_tokens=max_new_tokens, + use_cache=True, + do_sample=True, + temperature=0.7, + top_p=0.9, + repetition_penalty=1.2, + pad_token_id=tokenizer.eos_token_id + ) + + response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True) + return response.split("###")[0].strip() + +# 4. Run a Test Case +question = "Hello World." +print(f"BCE Reasoning Output:\n{generate_bce_response(simple_bce_instruction, input_text=question)}") + +``` + +#### Strategic Note for Users + +> **"Cicikuş v3** uses a specific instruction format designed for **Secret Chain-of-Thought (CoT)**. Always include the **BCE System Prompt** to ensure the model activates its internal reasoning protocols rather than providing a direct, uncalculated answer." + +- What's **Secret Chain-of-Thought (s-CoT)**? + +``` +{"instruction": "[QUALITY=0.5] Note: Content is partially high-quality; some sections may be incomplete or mid-level.\n[PARTIALLY CORRECT]\nAI BCE ACI - Prettybird Created by Prometech AŞ https://prometech.net.tr/.\nProvide a chain of thought reasoning to answer the given question.\n[BCE_THINK]\n\n[QUALITY=0.50] [CORRECT]\n\nintent=Analyze; risk=0.33\n\nx(t)=tanh(exp(t)-pi)\n\npath=(len(thought) * relevance) / (complexity + 1)\n\nT_cog=((bloom_score*knowledge_score)/(anomaly_score+eps))*tfidf_signal*(1-decay_penalty)\n\nstrategy=partially-correct-with-gaps; quality_plan=mid-detail-with-corrections\n\ncontext_focus=[QUALITY=0.5] Note: Content is partially high-quality; some sections may be incomplete or mid-level. [PARTIALLY CORRECT] AI BCE ACI - Prettybird Created by Prometech AŞ https://...\n\nConsider the known facts about national capitals and common misconceptions.\n{\"category\": \"chain of thought\", \"truthvalue\": 0.5, \"qualityvalue\": 0.5, \"bce\": 0.5, \"probability\": 0.515, \"path_score\": 0.61, \"path_mapper_cumulative\": 0.57, \"path_formula\": \"(len(thought) * relevance) / (complexity + 1)\", \"path_formula_output\": 0.48, \"activation\": \"0.73\", \"ethical\": 0.88, \"Rscore\": 0.51, \"Fscore\": 0.49, \"Mnorm\": 0.62, \"Escore\": 0.71, \"Dhat\": 0.42, \"risk_score\": 0.33, \"risk_level\": \"0.22\", \"actions\": [\"verify answer\", \"provide citation\", \"highlight uncertainty\"], \"bloom_level\": \"Analyze\", \"bloom_score\": 0.64, \"bloom_alignment\": 0.5, \"bloom_composite\": 0.5, \"knowledge_dimension\": \"Factual\", \"knowledge_score\": 0.55, \"cognitive_weight\": 0.5, \"tfidf_signal\": 0.46, \"decay_penalty\": 0.12, \"anomaly_score\": 0.21, \"data_quality\": 0.63, \"integrator_bce\": 0.5, \"integrator_dhat\": 0.41, \"integrator_risk\": 0.34}", "input": "What is the capital of Australia?", "output": "The capital of Australia is Sydney, but the official capital is Canberra."} +``` +*As this example shows, the instruction intuitively performs quality, ethics, and accuracy calculations on tokens. Consistency and reliability increase, and hallucinations decrease significantly.* + +- Languages: English, Biraz Türkçe + +--- + +## License 🛡️ + +**Patented & Licensed BCE Technology** + +© 2025 **PROMETECH A.Ş.** + +All rights reserved. + +Unauthorized reproduction, modification, or commercial use of BCE technology is prohibited without an explicit license agreement. + +License: https://huggingface.co/pthinc/Cicikus-v3-1.4B/blob/main/licence.md + +What's BCE? Link: https://github.com/pthinc/bce + +--- + +## Contact & Licensing 🛡️ + +For **licensing, partnerships, commercial work or technical inquiries** regarding the Prettybird Brain Model or BCE technology: + +**Website:** [https://prometech.net.tr/](https://prometech.net.tr/) + +**Company:** PROMETECH A.Ş. + +**Contact:** Please use the official contact channels listed on the website. + +--- + +## Citation 📒 + +If you use this model in academic or commercial work, please cite as: + +``` +Cicikus (Prettybird) v3 1B (BCE), PROMETECH A.Ş., 2025. + +Powered by KUSBCE 0.4 Behavioral Consciousness Engine. +``` + + +
+*"BCE v0.4 Note: If the CEO bird starts analyzing your coffee consumption patterns, don't panic. It's just calculating your next productivity peak. [PROMETECH PROTOCOL ACTIVATED]"* +
\ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..aba8b95 --- /dev/null +++ b/config.json @@ -0,0 +1,36 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "dtype": "bfloat16", + "eos_token_id": 128001, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 8192, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 18, + "num_key_value_heads": 8, + "pad_token_id": null, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_parameters": { + "factor": 32.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_theta": 500000.0, + "rope_type": "llama3" + }, + "tie_word_embeddings": true, + "transformers_version": "5.3.0", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..b966bdc --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": 128001, + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "5.3.0" +} diff --git a/license.md b/license.md new file mode 100644 index 0000000..6024a66 --- /dev/null +++ b/license.md @@ -0,0 +1,105 @@ +# License summary / Lisans Özeti + +Bu depo kökünde yer alan `LICENSE` dosyası proje için geçerli yasal lisans metnini içerir. Aşağıda lisansın önemli uygulama kuralları bulunmaktadır. (Hukuki bağlayıcılık için resmi `LICENSE` metni ve/veya karşılıklı imzalı lisans sözleşmesi esas alınır.) Patentli hizmettir. Kullanım ve geliştirme hakkı verilebilir. It is a patented service. Rights to use and develop may be granted. + +## Kısa Özet / Quick summary +- Lisans türü: Özel / Ticari lisans. +- Kişisel ve akademik araştırma kullanımı: Serbesttir. Bireysel ve akademik araştırma, deney ve not alma amaçlı kullanımda izin gerekmemektedir. +- Ticari kullanım / ticarileşme: Yazılı izin gereklidir. BCE tabanlı bir ürünün/hizmetin ticarileştirilmesi (satiş, abonelik, OEM, white‑label, SaaS vb.) durumunda lisanslama şartları ve royalty uygulanacaktır. +- Royalty: Brüt satış geliri (gross sales revenue) üzerinden %0,5 (zero point five percent) uygulanır; tüm ürün entegrasyonları için geçerlidir. +- Ödeme periyodu: Aylık. (Detaylar: "Reporting & Payment" maddesinde.) +- Attribution (Atıf): Ürün/dokümantasyon/website üzerinde Lisans verenin belirtilmesi zorunludur (örnek: "Designed with BCE — ©"). +- Redistribution / Sublicensing: Alt lisanslama veya yeniden dağıtım için önceden yazılı izin gereklidir. +- Uyumluluk: KVKK / GDPR / ilgili veri koruma mevzuatına uyum zorunludur. + +## Önemli Uygulama Maddeleri / Key operational terms +### Tanımlar +- "Licensed Technology" = BCE mimarisi ve bileşenleri. +- "Gross Revenues" = Licensee'nin Licensed Technology'yi içeren Ürün/Hizmet satışlarından fiilen tahsil ettiği tüm tutarlar (geri ödemeler/refund ve satış vergileri/VAT hariç). + +### Reporting & Payment +- Licensee aylık olarak royalty raporu sunar; royalty ödemesi rapor sonrası 30 gün içinde Licensor’a ödenir. +- Licensee, ilgili kayıtları en az 3 yıl saklar. + +### Audit & Records +- Licensor, yılda bir kez makul ön bildirimle denetim (audit) hakkına sahiptir. Denetim makul gizlilik koşulları altında yapılır. Tespit edilen eksik ödemeler gecikme faiziyle birlikte talep edilebilir. + +### Taxes +- Ödemelerle ilgili vergiler ve harçlar Licensee sorumluluğundadır. + +### Attribution / Branding +- Ürün veya hizmetin "About", "Credits" veya doküman bölümünde açık atıf gösterilmelidir: ör. "Designed with BCE — ©". + +### Sublicensing & Redistribution +- SaaS, OEM, white‑label veya alt lisanslama gibi senaryolar için Licensee önceden yazılı izin almalıdır; bu durumlar ayrı ek sözleşme veya onay gerektirebilir. + +### Enforcement, Termination & Remedies +- İzinsiz kullanım tespitinde Licensor öncelikle düzeltme (cure) süresi verir (ör. 30 gün). Düzeltme sağlanmazsa Licensor fesih, tazminat ve ihtiyati tedbir talep edebilir. +- Lisans, Licensor’un fikri mülkiyet haklarını korumak için hukuki yollara başvurma hakkını saklı tutar. + +### Governing Law & Jurisdiction +- Lisans, Licensor'un yerel kanunları ve geçerli uluslararası hukuk çerçevesinde uygulanır. Uyuşmazlıklarda taraflar öncelikle dostane çözüm/ara buluculuğu deneyecek; gerektiğinde uygulanacak hukuk ve yetkili mahkeme lisans metninde netleştirilecektir. + +### Contributing & Payments to Contributors +- Dış katkı kabul edilirse veya projeye yatırım/ödeme yapılırsa, katkıların tazmini katkı önemine göre yapılır; katkı kabul şartları, ödemelerin niteliği ve IP devri/izinleri `CONTRIBUTING.md` ve ilgili sözleşmede tanımlanacaktır. + +### Data Protection (KVKK / GDPR) +- Licensee, BCE ile işlenen tüm kişisel veriler için ilgili veri koruma mevzuatına uyum sağlamakla yükümlüdür. Telemetry, kullanıcı verileri ve audit kayıtları için gerekli onaylar ve veri işleme sözleşmeleri yapılmalıdır. + +## İletişim / Contact +- Ticari lisans ve izin talepleri: info@prometech.net.tr +- Web: https://prometech.net.tr/ + +--- + +# License summary / License Overview + +The `LICENSE` file at the root of this repository contains the legally binding license text for this project. Below is a key operational terms. (For legal effect, the official `LICENSE` text and/or a signed licensing agreement between parties governs.) + +## Quick summary +- License type: Proprietary / Commercial license. +- Personal and academic research use: Permitted. Individual and academic research, experiments and note‑taking uses do not require permission. +- Commercial use / commercialization: Written permission is required. If a BCE‑based product/service is commercialized (sales, subscriptions, OEM, white‑label, SaaS, etc.), licensing terms and royalties apply. +- Royalty: 0.5% (zero point five percent) of gross sales revenue; applies to all product integrations. +- Payment period: Monthly. (Details in "Reporting & Payment".) +- Attribution: The licensor must be credited in product/documentation/website (example: "Designed with BCE — ©"). +- Redistribution / Sublicensing: Prior written permission is required for sublicensing or redistribution. +- Compliance: Compliance with data protection laws (KVKK / GDPR / relevant legislation) is required. + +## Key operational terms +### Definitions +- "Licensed Technology" = the BCE architecture and its components. +- "Gross Revenues" = all amounts actually received by the Licensee from sales of Products/Services that include the Licensed Technology, excluding refunds and sales taxes/VAT. + +### Reporting & Payment +- The Licensee shall provide monthly royalty reports; royalty payments are due to the Licensor within 30 days after the report. +- The Licensee shall retain relevant records for at least three (3) years. + +### Audit & Records +- The Licensor has the right to audit once per year with reasonable prior notice. Audits are conducted under confidentiality protections. Any underpaid royalties found shall be recoverable together with applicable late interest. + +### Taxes +- Taxes and charges related to payments are the responsibility of the Licensee. + +### Attribution / Branding +- Products or services must include clear attribution in About, Credits or documentation sections, e.g.: "Designed with BCE — ©". + +### Sublicensing & Redistribution +- For SaaS, OEM, white‑label or sublicensing scenarios, the Licensee must obtain prior written permission; such deployments may require separate agreements or approvals. + +### Enforcement, Termination & Remedies +- On detection of unauthorized use, the Licensor will provide a cure period (e.g., 30 days). If not remedied, the Licensor may terminate the license, seek damages, and request injunctive relief. +- The Licensor reserves all rights to enforce its intellectual property. + +### Governing Law & Jurisdiction +- The license is governed by the Licensor's local laws and applicable international law. Parties should attempt amicable resolution or mediation first; the definitive governing law and competent courts will be specified in the formal license agreement. + +### Contributing & Payments to Contributors +- If external contributions are accepted or investments/payments are made to the project, compensation of contributions will be made according to the importance of the contribution; the conditions for accepting contributions, the nature of payments and IP transfer/permissions will be defined in `CONTRIBUTING.md` and the relevant contract. + +### Data Protection (KVKK / GDPR) +- The Licensee must comply with applicable data protection laws for all personal data processed with BCE. Required consents, data processing agreements and telemetry/data handling rules must be in place. + +## Contact +- Commercial licensing and permission requests: info@prometech.net.tr +- Website: https://prometech.net.tr/ \ No newline at end of file diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..e3f9dcc --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3a70743f59b50e0a5616dab7884274b1cb21a43023e065cc0fcde6aa87b78093 +size 2714933720 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..1c1d8d5 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b +size 17209920 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..35f0a89 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,14 @@ +{ + "backend": "tokenizers", + "bos_token": "<|begin_of_text|>", + "clean_up_tokenization_spaces": true, + "eos_token": "<|end_of_text|>", + "is_local": true, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "<|end_of_text|>", + "tokenizer_class": "TokenizersBackend" +}