Llama-Legal-Expression-8B-v0.1-merged

Model summary

Intended use

• Drafting or refining marketing-oriented legal content (e.g. practice blurbs, client-facing summaries).
• Not for legal advice, regulated filings, or high-stakes decisions without human review.

Training data (high level)

• Data came from public law-firm web marketing pages across many large-firm domains, plus an LLM-assisted curation step to standardize tone and structure into chat-format SFT pairs.
• Raw scrapes and full training JSONL are not redistributed with the GitHub project; statistics and methodology are described in the linked repository.

Limitations

• Style and fluency, not factual grounding: the model can still hallucinate or misstate facts; always verify against sources and counsel.
• Strongest fit for external-facing, polished marketing tone; may be less ideal for purely operational or highly technical internal briefs.
• Bias and safety: inherits behaviors and limitations of the base Llama 3.1 instruct model; apply usual content policies.

How to reproduce / cite the project

• GitHub (configs, scripts, evaluation examples): link your public fine-tuning-llama-public repository when published.
• Base model and Axolotl citations should follow their respective licenses and papers/docs.

Inference

• Suitable for vLLM, Transformers, or other Llama-compatible stacks; use the same chat template / tokenizer as Meta-Llama-3.1-8B-Instruct unless your serving stack overrides it.

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