Smolify: Intelligence Distilled.

README.md

@@ -1,21 +1,66 @@
 ---
-base_model: unsloth/gemma-3-270m-it
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- gemma3_text
 license: apache-2.0
 language:
 - en
+tags:
+- text-generation-inference
+- transformers
+- smolify
+- dslm
+pipeline_tag: text-generation
+inference:
+  parameters:
+    temperature: 1
+    top_p: 0.95
+    top_k: 64
 ---
+# 🤏 smolified-transcripts-checker
+
+> **Intelligence, Distilled.**
+
+This is a **Domain Specific Language Model (DSLM)** generated by the **Smolify Foundry**.
+
+It has been synthetically distilled from SOTA reasoning engines into a high-efficiency architecture, optimized for deployment on edge hardware (CPU/NPU) or low-VRAM environments.
+
+## 📦 Asset Details
+- **Origin:** Smolify Foundry (Job ID: `3a495556`)
+- **Architecture:** DSLM-Micro (270M Parameter Class)
+- **Training Method:** Proprietary Neural Distillation
+- **Optimization:** 4-bit Quantized / FP16 Mixed
+- **Dataset:** [Link to Dataset](https://huggingface.co/datasets/sugatobagchi/smolified-transcripts-checker)
+
+## 🚀 Usage (Inference)
+This model is compatible with standard inference backends like vLLM.
+
+```python
+# Example: Running your Sovereign Model
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "sugatobagchi/smolified-transcripts-checker"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
 
-# Uploaded finetuned  model
+messages = [
+    {'role': 'system', 'content': '''Client Style Guide: 1. Numbers 0-9 spelled out, 10+ digits. 2. Speaker labels in all caps followed by a colon. 3. US currency uses '$' prefix. 4. Dates in 'Month Day, Year' format. 5. 'uh' and 'um' removed. 6. Sentences with any potential error, ambiguity, or awkwardness are flagged with '[??]' at the end.'''},
+    {'role': 'user', 'content': '''Interviewer: We're talking about four key points here. Participant: Yes. Exactly four points to cover. Not three, not five.'''}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize = False,
+    add_generation_prompt = True,
+).removeprefix('<bos>')
 
-- **Developed by:** sugatobagchi
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-3-270m-it
+from transformers import TextStreamer
+_ = model.generate(
+    **tokenizer(text, return_tensors = "pt").to("cuda"),
+    max_new_tokens = 1000,
+    temperature = 1, top_p = 0.95, top_k = 64,
+    streamer = TextStreamer(tokenizer, skip_prompt = True),
+)
+```
 
-This gemma3_text model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## ⚖️ License & Ownership
+This model weights are a sovereign asset owned by **sugatobagchi**.
+Generated via [Smolify.ai](https://smolify.ai).
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://smolify.ai/smolify.gif" width="100"/>](https://smolify.ai)