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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- text-generation-inference |
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- transformers |
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- smolify |
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- dslm |
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pipeline_tag: text-generation |
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inference: |
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parameters: |
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temperature: 1 |
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top_p: 0.95 |
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top_k: 64 |
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--- |
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# ๐ค smolified-transcripts-checker |
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> **Intelligence, Distilled.** |
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This is a **Domain Specific Language Model (DSLM)** generated by the **Smolify Foundry**. |
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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. |
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## ๐ฆ Asset Details |
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- **Origin:** Smolify Foundry (Job ID: `3a495556`) |
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- **Architecture:** DSLM-Micro (270M Parameter Class) |
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- **Training Method:** Proprietary Neural Distillation |
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- **Optimization:** 4-bit Quantized / FP16 Mixed |
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- **Dataset:** [Link to Dataset](https://huggingface.co/datasets/sugatobagchi/smolified-transcripts-checker) |
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## ๐ Usage (Inference) |
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This model is compatible with standard inference backends like vLLM. |
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```python |
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# Example: Running your Sovereign Model |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_id = "sugatobagchi/smolified-transcripts-checker" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto") |
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messages = [ |
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{'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.'''}, |
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{'role': 'user', 'content': '''Interviewer: We're talking about four key points here. Participant: Yes. Exactly four points to cover. Not three, not five.'''} |
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] |
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text = tokenizer.apply_chat_template( |
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messages, |
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tokenize = False, |
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add_generation_prompt = True, |
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).removeprefix('<bos>') |
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from transformers import TextStreamer |
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_ = model.generate( |
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**tokenizer(text, return_tensors = "pt").to("cuda"), |
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max_new_tokens = 1000, |
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temperature = 1, top_p = 0.95, top_k = 64, |
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streamer = TextStreamer(tokenizer, skip_prompt = True), |
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) |
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``` |
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## โ๏ธ License & Ownership |
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This model weights are a sovereign asset owned by **sugatobagchi**. |
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Generated via [Smolify.ai](https://smolify.ai). |
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[<img src="https://smolify.ai/smolify.gif" width="100"/>](https://smolify.ai) |
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