Bmcbob76
/

echo-software-adapter

@@ -1,202 +1,123 @@
 ---
-base_model: Qwen/Qwen2.5-7B-Instruct
 library_name: peft
 ---
-# Model Card for Model ID
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-### Framework versions
-- PEFT 0.12.0

 ---
 library_name: peft
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- lora
+- qwen2
+- echo-omega-prime
+- software-engineering
+- devops
+- architecture
+- ci-cd
+- cloud
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
 ---
+# Echo Software Engineering Adapter
+> Part of the **Echo Omega Prime** AI engine collection — domain-specialized LoRA adapters built on Qwen2.5-7B-Instruct.
+## Overview
+Software engineering and DevOps analysis covering architecture patterns, CI/CD, cloud infrastructure, and code quality.
+**Domain:** Software Engineering & DevOps
 ## Training Details
+| Parameter | Value |
+|-----------|-------|
+| **Base Model** | [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) |
+| **Method** | QLoRA (4-bit NF4 quantization + LoRA) |
+| **LoRA Rank (r)** | 16 |
+| **LoRA Alpha** | 32 |
+| **Target Modules** | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
+| **Training Data** | Software doctrine blocks covering design patterns, microservices, CI/CD pipelines, cloud architecture, and code review |
+| **Epochs** | 3 |
+| **Loss** | converged |
+| **Adapter Size** | ~38 MB |
+| **Framework** | PEFT + Transformers + bitsandbytes |
+| **Precision** | bf16 (adapter) / 4-bit NF4 (base during training) |
+## Usage with PEFT
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+# Load base model
+base_model = AutoModelForCausalLM.from_pretrained(
+    "Qwen/Qwen2.5-7B-Instruct",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
+# Load LoRA adapter
+model = PeftModel.from_pretrained(base_model, "Bmcbob76/echo-software-adapter")
+# Generate
+messages = [
+    {"role": "system", "content": "You are a domain expert in Software Engineering & DevOps."},
+    {"role": "user", "content": "Review this microservices architecture for single points of failure, scaling bottlenecks, and recommend improvements for high availability."},
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+with torch.no_grad():
+    outputs = model.generate(**inputs, max_new_tokens=1024, temperature=0.3)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))
+```
+## vLLM Multi-Adapter Serving
+```bash
+python -m vllm.entrypoints.openai.api_server \
+    --model Qwen/Qwen2.5-7B-Instruct \
+    --enable-lora \
+    --lora-modules 'echo-software-adapter=Bmcbob76/echo-software-adapter'
+```
+Then query via OpenAI-compatible API:
+```python
+from openai import OpenAI
+client = OpenAI(base_url="http://localhost:8000/v1", api_key="token")
+response = client.chat.completions.create(
+    model="echo-software-adapter",
+    messages=[
+        {"role": "system", "content": "You are a domain expert in Software Engineering & DevOps."},
+        {"role": "user", "content": "Review this microservices architecture for single points of failure, scaling bottlenecks, and recommend improvements for high availability."},
+    ],
+    temperature=0.3,
+    max_tokens=1024,
+)
+print(response.choices[0].message.content)
+```
+## Echo Omega Prime Collection
+This adapter is part of the **Echo Omega Prime** intelligence engine system — 2,600+ domain-specialized engines spanning law, engineering, medicine, cybersecurity, oil & gas, and more.
+| Adapter | Domain |
+|---------|--------|
+| [echo-titlehound-lora](https://huggingface.co/Bmcbob76/echo-titlehound-lora) | Oil & Gas Title Examination |
+| [echo-doctrine-generator-qlora](https://huggingface.co/Bmcbob76/echo-doctrine-generator-qlora) | AI Doctrine Generation |
+| [echo-landman-adapter](https://huggingface.co/Bmcbob76/echo-landman-adapter) | Landman Operations |
+| [echo-taxlaw-adapter](https://huggingface.co/Bmcbob76/echo-taxlaw-adapter) | Tax Law & IRC |
+| [echo-legal-adapter](https://huggingface.co/Bmcbob76/echo-legal-adapter) | Legal Analysis |
+| [echo-realestate-adapter](https://huggingface.co/Bmcbob76/echo-realestate-adapter) | Real Estate Law |
+| [echo-cyber-adapter](https://huggingface.co/Bmcbob76/echo-cyber-adapter) | Cybersecurity |
+| [echo-engineering-adapter](https://huggingface.co/Bmcbob76/echo-engineering-adapter) | Engineering Analysis |
+| [echo-medical-adapter](https://huggingface.co/Bmcbob76/echo-medical-adapter) | Medical & Clinical |
+| [echo-software-adapter](https://huggingface.co/Bmcbob76/echo-software-adapter) | Software & DevOps |
+## License
+Apache 2.0