Coperniq Sales SFT v3

Fine-tuned Qwen2.5-3B-Instruct for MEP contractor sales emails.

Training

Base Model: unsloth/Qwen2.5-3B-Instruct (3B params)
Method: LoRA (r=16, alpha=16)
Examples: 8,558 (Close CRM + Gong + synthetic)
Steps: 2,000
Final Loss: 0.43

Data Sources

7,879 Close CRM emails
575 Gong call transcripts
104 synthetic examples

Usage

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    "scientiacapital/coperniq-sales-sft",
    max_seq_length=2048,
    load_in_4bit=True
)

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for scientiacapital/coperniq-sales-sft

Base model

Qwen/Qwen2.5-3B

Finetuned

Qwen/Qwen2.5-3B-Instruct

Finetuned

unsloth/Qwen2.5-3B-Instruct

Adapter

(476)

this model