README.md

---
base_model: NeverSleep/Lumimaid-v0.2-8B
quantized_model: safe049/SmolLumi-8B-Instruct-GGUF
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
license: apache-2.0
language:
- en
datasets:
- HuggingFaceTB/smol-smoltalk
library_name: transformers
---

# SmolLumi-8B-Instruct
```
____                  _ _                    _
/ ___| _ __ ___   ___ | | |   _   _ _ __ ___ (_)
\___ \| '_ ` _ \ / _ \| | |  | | | | '_ ` _ \| |
 ___) | | | | | | (_) | | |__| |_| | | | | | | |
|____/|_| |_| |_|\___/|_|_____\__,_|_| |_| |_|_|
```
- **Developed by:** safe049
- **License:** apache-2.0
- **Finetuned from model :** NeverSleep/Lumimaid-v0.2-8B
- **GGUF[Q4_K_M] :** [safe049/SmolLumi-8B-Instruct-GGUF](https://huggingface.co./safe049/SmolLumi-8B-Instruct-GGUF)

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

--------------------------------------------------
# Description
## Arguments:
- per_device_train_batch_size = 2,
- gradient_accumulation_steps = 4,
- warmup_steps = 5,
- max_steps = 60,
- learning_rate = 2e-4,
- fp16 = not is_bfloat16_supported(),
- bf16 = is_bfloat16_supported(),
- logging_steps = 1,
- optim = "adamw_8bit",
- weight_decay = 0.01,
- lr_scheduler_type = "linear",
- seed = 3407
-
## Used Dataset
- [HuggingFaceTB/smol-smoltalk](https://huggingface.co./datasets/HuggingFaceTB/smol-smoltalk/tree/main/data)

## Used Library
- transformers
- unsloth
- trl
- sft
---------------------------------------------
# More

Yet another model created cuz of boring
**This Model is Uncensored**, it might generate illegal,non-moral contents,and I am not reponsable for that.