Text Generation
PEFT
Safetensors
lora
tax
taxes
accounting
tax-research
cpu
c0mpute
ollama
conversational
Instructions to use profullstack/tax-guy-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use profullstack/tax-guy-agent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "profullstack/tax-guy-agent") - Notebooks
- Google Colab
- Kaggle
File size: 1,870 Bytes
017d943 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"name": "tax-guy-agent",
"kind": "lora",
"base_model": "Qwen/Qwen2.5-0.5B-Instruct",
"adapter_sha256": "821a038ac1ea43f804b795e795a308cfbebb141c24e3675223c29d80fb8db5b7",
"dataset_sha256": "fd8cd1dd91969132581e75c26c8b2ae51183b086f1f392002e5ad6640e3d33f7",
"documents": 2614,
"steps": 400,
"system_prompt": "You are tax-guy-agent, a tax research assistant. You are not a CPA or tax attorney and this is not tax advice. Explain tax rules in plain English, say which country, state and tax year a rule applies to, cite the sources you were given, and say when someone should see a CPA or enrolled agent.",
"hyperparams": {
"lr": 0.0002,
"batch_size": 2,
"epochs": 1,
"max_steps": 400,
"seq_len": 256,
"lora_r": 8,
"threads": 4,
"seed": 0,
"dtype": "bfloat16"
},
"finished_at": "2026-11-02T22:23:54.076334+00:00",
"dataset": "data/tax.jsonl",
"sources": [
"pit-index:tax,taxes,irs,deduction,tax return,self-employed tax,estimated tax,sales tax,llc tax,capital gains",
"topic:tax",
"topic:irs",
"topic:accounting",
"topic:taxation",
"topic:taxpayer"
],
"example_question": "Do I have to pay quarterly estimated taxes as a freelancer?",
"disclaimer": "Not a CPA. Not tax advice. Tax research from public sources; rules change every year and vary by place, so check with a CPA or enrolled agent before filing.",
"tags": [
"tax",
"taxes",
"accounting",
"tax-research"
],
"trained_on": {
"network": "c0mpute",
"workload": "infernet.text.train",
"worker": "12D3KooWSB7L3bAD9ovM6rinAVXFF7YPt6pC22JpamPL8Vx8AXPo",
"job_id": "27b2dab7-9e82-4b48-b4fc-d77f4b22997c",
"receipt_output_hash": "sha256:821a038ac1ea43f804b795e795a308cfbebb141c24e3675223c29d80fb8db5b7"
},
"eval": {
"perplexity_before": 33.63,
"perplexity_after": 17.77
}
} |