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README.md

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----
-license: other
-license_name: orch-license
-license_link: LICENSE
----
+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+tags:
+- code
+- next.js
+- full-stack
+- code-generation
+- fine-tuned
+base_model: deepseek-ai/deepseek-coder-6.7b-instruct
+pipeline_tag: text-generation
+---
+
+# ORCH-7B: Autonomous Full-Stack Code Generation
+
+ORCH-7B is a fine-tuned code generation model specialized in generating complete, production-ready Next.js applications from natural language descriptions.
+
+## Model Details
+
+- **Base Model**: DeepSeek Coder 6.7B Instruct
+- **Fine-tuning Method**: QLoRA (4-bit quantization + LoRA adapters)
+- **Training Data**: 44,000+ Next.js project examples
+- **Context Length**: 4K tokens (Phase 1)
+- **Output Format**: Complete project files with structured markers
+
+## Capabilities
+
+- Generate complete Next.js 14+ applications
+- Full-stack projects with API routes
+- Database integrations (Prisma, Drizzle)
+- Authentication systems
+- UI components with Tailwind CSS
+- TypeScript support
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("raihan-js/orch-7b")
+tokenizer = AutoTokenizer.from_pretrained("raihan-js/orch-7b")
+
+prompt = """Generate a complete Next.js full-stack application based on the following requirements.
+
+Create an e-commerce store with product catalog and shopping cart.
+
+Generate all necessary files for a production-ready application."""
+
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=4096, temperature=0.7)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Output Format
+
+The model generates files in a structured format:
+
+```
+<|file|>path/to/file.tsx<|end_path|>
+// File content here
+<|end_file|>
+```
+
+## Training
+
+- **Hardware**: RunPod A100
+- **Training Time**: ~21.5 hours
+- **Final Loss**: 0.199
+- **Epochs**: 1
+
+## Limitations
+
+- Optimized for Next.js projects specifically
+- Best results with clear, detailed prompts
+- May require post-processing for very large projects
+
+## License
+
+Apache 2.0
+
+## Citation
+
+```bibtex
+@misc{orch7b2025,
+  title={ORCH-7B: Autonomous Full-Stack Code Generation},
+  author={Raihan},
+  year={2025},
+  url={https://huggingface.co/raihan-js/orch-7b}
+}
+```

config.json

@@ -0,0 +1,48 @@
+{
+  "_name_or_path": "deepseek-ai/deepseek-coder-6.7b-instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 32013,
+  "eos_token_id": 32021,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "factor": 4.0,
+    "rope_type": "linear",
+    "type": "linear"
+  },
+  "rope_theta": 100000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 32256
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32021,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:39540a1b9ea379bd81cac71d24b85d4d66fd66b0f572b8113c04950b8386ad4f
+size 4399256235

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|EOT|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "32000": {
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+    "32019": {
+      "content": "<|User|>",
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+    },
+    "32020": {
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+      "rstrip": false,
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+    "32021": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n    {%- if message['role'] == 'system' -%}\n        {%- set ns.found = true -%}\n    {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n    {%- else %}\n        {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n        {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|EOT|>",
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}