| --- |
| license: mit |
| language: |
| - en |
| base_model: |
| - mistralai/Mistral-7B-v0.1 |
| pipeline_tag: question-answering |
| tags: |
| - technology |
| - QA |
| --- |
| # TechChat |
|
|
| **TechChat** is a domain-specific chatbot fine-tuned from [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) using LoRA. |
|
|
| ## Model Details |
| - **Base model:** mistralai/Mistral-7B-v0.1 |
| - **Fine-tuning method:** LoRA (Low-Rank Adaptation) |
| - **Max sequence length:** 512 tokens |
|
|
| ## Intended Use |
| - Technical Q&A in [your domain] |
| - Chat-style interactions |
|
|
| ## Example |
| ```python |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| |
| model = AutoModelForCausalLM.from_pretrained("hari7261/TechChat") |
| tokenizer = AutoTokenizer.from_pretrained("hari7261/TechChat") |
| |
| prompt = "Explain DNS in simple terms." |
| inputs = tokenizer(prompt, return_tensors="pt") |
| outputs = model.generate(**inputs, max_new_tokens=150) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
