--- library_name: transformers tags: - mistral - instruct - causal-lm - sft - supervised-fine-tuning - hlx - mistral-7b-hlx2 - personalized-model - conversational-ai license: apache-2.0 language: - en base_model: mistralai/Mistral-7B-Instruct-v0.2 datasets: - hailsbop/Haleyv2 pipeline_tag: text-generation --- # Model Card for `mistral-7b-hlx2` ## Model Summary `mistral-7b-hlx2` is a supervised fine-tuned (SFT) version of **Mistral-7B-Instruct-v0.2**, trained on **cleaned, de-identified WhatsApp conversation logs** (dataset: `hailsbop/Haleyv2`). The model is optimized for interpersonal dialogue, conversational tone, and expressive communication. ## Table of Contents - Model Details - Uses - Bias, Risks, and Limitations - Training Details - Evaluation - Societal Impact Assessment - Model Examination - Environmental Impact - Technical Specifications - Citation - Glossary - More Information - Model Card Authors - Model Card Contact - How to Get Started ## Model Details ### Model Description `mistral-7b-hlx2` is a decoder-only transformer model fine-tuned via SFT using WhatsApp-derived conversational data. - Developed by: Haley - License: Apache-2.0 - Fine-tuned From: mistralai/Mistral-7B-Instruct-v0.2 - Dataset: hailsbop/Haleyv2 ## Uses ### Direct Use Conversational agents, expressive dialogue, creative writing. ### Downstream Use Persona-aligned chatbots, stylistic generation. ### Out-of-Scope Safety-critical use, factual decision-making, impersonation. ## Bias, Risks, and Limitations This model reflects interpersonal tone, subjectivity, and informal WhatsApp communication patterns. Not suited for factual accuracy. ## Training Details ### Training Data Dataset: `hailsbop/Haleyv2` — de-identified WhatsApp logs. ### Preprocessing PII removed, paired into instruction–response sets. ### Training Procedure Full SFT, mixed precision, AdamW optimizer. ## Evaluation Qualitative testing only — no benchmarks. ## Environmental Impact Training CO₂ impact not recorded. ## Technical Specifications - 7B parameter decoder LM - FlashAttention-like optimizations - Causal LM objective ## Citation ``` @misc{mistral7bhlx2, title={mistral-7b-hlx2}, author={Haley}, year={2025}, howpublished={https://huggingface.co/hailsbop/mistral-7b-hlx2} } ``` ## Model Card Authors Haley