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reallexi/lexi-resume-v6
lexi-resume-v6 is a text generation model from reallexi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
lexi-resume-v6 by Reallexi LLC AI Model Builder — llm.reallexi.io
Downloads · 30 days
311
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From the Hugging Face model README
lexi-resume-v6 by Reallexi LLC AI Model Builder — llm.reallexi.io
Copyright (c) 2026 Reallexi LLC. All rights reserved.
A standalone model of 495M parameters, derived from Qwen/Qwen2.5-0.5B-Instruct.
The adapter has been merged into the base weights, so no PEFT adapter is needed at runtime.
| Parameters | 495,114,112 (495M) |
| Weights on disk | 942 MB |
| Trained context length | 8,192 tokens |
| Base model | Qwen/Qwen2.5-0.5B-Instruct |
Approximate memory to hold the weights. Add context and runtime overhead on top.
| Precision | Weights |
|---|---|
| FP16 / BF16 | 944 MB |
| 8-bit (Q8_0) | 472 MB |
| 4-bit (Q4_K_M) | 260 MB |
| Strategy | slm |
| Adapter | Auto LoRA |
| LoRA rank / alpha | 8 / 16 |
| Dataset | AzharAli05/Resume-Screening-Dataset |
| Samples learned | 10,000 (through phase 3 of 3) |
| Training steps | 2,250 |
| Epochs | 3 |
The same prompts, drawn from the training data, run through the base model before training and the finished model after. This shows what the run changed on representative prompts -- it is not a benchmark. Full outputs are in SAMPLES.md and samples.json alongside this file.
Prompt: Role: AR/VR Developer; Resume: Here's a professional resume for Mary Johnson, tailored to the AR/VR Developer role: Mary Johnson Contact
Summary: Highly motivated and
Prompt: Role: product manager; Resume: here's a sample resume for brent brown applying for the role of product manager: brent brown
Summary: Highly motivated and detail-oriented Product Manager with 5+ years of experience in driving successful product launches, delivering high
contact information:
summary: highly motivated and detail-oriented product manager with 3+ years of experience in creating and executing successful product strategies.
Prompt: Role: data engineer; Resume: gina mehta data engineer candidate gina mehta is a highly skilled and experienced data engineer with
Key skills:
key skills and achievements:

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("lexi-resume-v6")
tokenizer = AutoTokenizer.from_pretrained("lexi-resume-v6")
The effective terms are inherited from the base model and the training data, which are not necessarily the same as this project's own license. Review both before redistributing.
Base model: Qwen/Qwen2.5-0.5B-Instruct
Training data: AzharAli05/Resume-Screening-Dataset
Copyright (c) 2026 Reallexi LLC. All rights reserved.
Produced by Reallexi LLC AI Model Builder from training job #1609. Core: https://llm.reallexi.io
Produced by Reallexi LLC on Reallexi AI Model Builder, a local-first training platform (https://llm.reallexi.io). Hugging Face repository: reallexi/lexi-resume-v6. Copyright (c) 2026 Reallexi LLC. All rights reserved.