Text Generation
PEFT
Safetensors
English
agriculture
business-intelligence
b2b
fine-tuned
llama
llama-3.1
lora
knowledge-distillation
multi-teacher
claude
gpt-4
Eval Results (legacy)
Instructions to use sarathi-balakrishnan/llama-agri-b2b-intelligence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sarathi-balakrishnan/llama-agri-b2b-intelligence with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "sarathi-balakrishnan/llama-agri-b2b-intelligence") - Notebooks
- Google Colab
- Kaggle
Agricultural B2B Intelligence - Llama 3.1 8B fine-tuned with multi-teacher distillation (Claude Sonnet 4 + GPT-4.1)
47ad549 verified - Xet hash:
- dd3257fe3cb6a3b50407a5d58e1a89b83b019a11054f781437bb08900dbd38f3
- Size of remote file:
- 17.2 MB
- SHA256:
- f2f90a0ee1b41702c7b233b02234294a53bc0684a08d3bcd8c8ff702e9a12f64
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