Text Generation
PEFT
Safetensors
English
mistral
reasoning
legal-analysis
mathematical-reasoning
cognitive-architectures
large-language-model
logical-reasoning
lora
vanta-research
apollo
collaborative
frontier
mistral-ai
conversational
conversational-ai
chat
ai-research
ai-alignment-research
ai-alignment
ai-behavior
ai-behavior-research
Instructions to use vanta-research/apollo-v1-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vanta-research/apollo-v1-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "vanta-research/apollo-v1-7b") - Notebooks
- Google Colab
- Kaggle
Commit History
-
๐ Apollo V1 7B: Advanced Reasoning Language Model - Complete model release with LoRA fine-tuned Mistral-7B-Instruct-v0.2, 161M parameter adapter, Apache 2.0 license, and professional documentation for logical, mathematical, and legal reasoningโ
Verified signatureApollo V1 7B represents the first public release in the Apollo model series from VANTA Research. This specialized language model is optimized for advanced reasoning tasks including logical reasoning, mathematical problem-solving, and legal analysis.a2897eb