Update README.md

README.md

@@ -1,22 +1,64 @@
 ---
 base_model: NeverSleep/Lumimaid-v0.2-8B
+quantized_model: safe049/SmolLumi-8B-Instruct-GGUF
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - llama
-- gguf
+- trl
+- sft
 license: apache-2.0
 language:
 - en
+datasets:
+- HuggingFaceTB/smol-smoltalk
+library_name: transformers
 ---
 
-# Uploaded  model
-
+# SmolLumi-8B-Instruct
+```
+____                  _ _                    _
+/ ___| _ __ ___   ___ | | |   _   _ _ __ ___ (_)
+\___ \| '_ ` _ \ / _ \| | |  | | | | '_ ` _ \| |
+ ___) | | | | | | (_) | | |__| |_| | | | | | | |
+|____/|_| |_| |_|\___/|_|_____\__,_|_| |_| |_|_|
+```
 - **Developed by:** safe049
 - **License:** apache-2.0
 - **Finetuned from model :** NeverSleep/Lumimaid-v0.2-8B
+- **Original[Non-Quantized] :** [safe049/SmolLumi-8B-Instruct](https://huggingface.co/safe049/SmolLumi-8B-Instruct)
 
 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.