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.gitignore

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+# Byte-compiled / optimized / DLL files
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+.streamlit/secrets.toml

LICENSE

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README.md

@@ -1,3 +1,129 @@
+# SPM-350M
+
+![Parameters](https://img.shields.io/badge/Parameters-348.7M-blue)
+![Architecture](https://img.shields.io/badge/Architecture-Decoder--Only-green)
+![License](https://img.shields.io/badge/License-Apache%202.0-orange)
+![Status](https://img.shields.io/badge/Status-Research-red)
+
+**SPM-350M** is a 350 million parameter decoder-only language model developed by **Syclient**.
+
+The model is designed for research, education, conversational AI, and efficient language model development. SPM-350M serves as the foundation of the Strategic Pretrained Model (SPM) family and represents Syclient's first large-scale language model project.
+
 ---
-license: apache-2.0
+
+## Overview
+
+SPM-350M is part of the SPM (Strategic Pretrained Model) family, a research initiative focused on building efficient and scalable language models from the ground up.
+
+The project explores language modeling, instruction following, conversational AI, tokenizer design, and future experimental architectures.
+
 ---
+
+## Model Specifications
+
+| Property                    | Value                    |
+| --------------------------- | ------------------------ |
+| Model Name                  | SPM-350M                 |
+| Organization                | Syclient                 |
+| Architecture                | Decoder-only Transformer |
+| Parameters                  | 348.7M                   |
+| Hidden Size                 | 1024                     |
+| Layers                      | 24                       |
+| Attention Heads             | 16                       |
+| KV Heads                    | 8                        |
+| Context Length              | 2048                     |
+| Recommended Sequence Length | 1024                     |
+| Vocabulary Size             | 32,000                   |
+| Primary Language            | English                  |
+| Secondary Language          | Turkish                  |
+
+---
+
+## Training Data
+
+SPM-350M was trained using a mixture of publicly available datasets, including:
+
+* FineWeb-Edu
+* Wikipedia
+* UltraChat
+* OpenAssistant
+
+The training corpus was curated for research, conversational modeling, and general language understanding tasks.
+
+---
+
+## Model Weights
+
+The model weights are available on Hugging Face.
+
+Coming Soon.
+
+## Intended Use
+
+SPM-350M is intended for:
+
+* Research
+* Education
+* Conversational AI
+* Text Generation
+* Experimentation
+* Language Model Development
+
+---
+
+## Limitations
+
+SPM-350M is an experimental research model.
+
+The model may:
+
+* Generate incorrect information
+* Produce biased outputs
+* Make reasoning mistakes
+* Hallucinate facts
+* Fail on complex tasks
+
+Users should independently verify important information.
+
+---
+
+## Roadmap
+
+* [x] SPM-70M Vertigo
+* [x] SPM-350M Foundation
+* [x] SPM-350M Chat Edition
+* [ ] SPM-350M Ultra Edition
+* [ ] SPM-1.2B
+* [ ] SPM Flux Architecture
+* [ ] SPM-8B
+
+---
+
+## Vision
+
+Our goal is to build efficient language models that are accessible, practical, and scalable.
+
+Rather than focusing solely on model size, the SPM project explores how far efficiency, data quality, and architecture design can be pushed within limited computational resources.
+
+---
+
+## License
+
+Apache License 2.0
+
+---
+
+## Citation
+
+```bibtex
+@misc{spm350m2026,
+  title={SPM-350M},
+  author={Syclient},
+  year={2026},
+  publisher={GitHub}
+}
+```
+
+---
+
+**Building efficient language models from the ground up.**

config.json

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+{
+  "_name_or_path": "SPM-350M-Chat",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "model_type": "llama",
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0,
+  "hidden_size": 1024,
+  "intermediate_size": 2816,
+  "num_hidden_layers": 24,
+  "num_attention_heads": 16,
+  "num_key_value_heads": 8,
+  "max_position_embeddings": 2048,
+  "vocab_size": 32000,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "hidden_act": "silu",
+  "attention_bias": false,
+  "torch_dtype": "bfloat16",
+  "spm_version": "chat-v1"
+}

generation_config.json

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+{
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0,
+  "max_new_tokens": 512,
+  "do_sample": true,
+  "temperature": 0.7,
+  "top_p": 0.9,
+  "repetition_penalty": 1.1
+}

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>",
+  "pad_token": "<pad>"
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce5baec7c99a91c46c3a1cd03e5d92457a9c1aefdef12ed34bcb51e6cc934c18
+size 794363

tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>",
+  "pad_token": "<pad>",
+  "model_max_length": 2048,
+  "tokenizer_class": "LlamaTokenizer"
+}