Update README.md

README.md

@@ -1,6 +1,10 @@
 ---
-base_model: unsloth/Qwen2.5-14B-Instruct-bnb-4bit
+base_model: Qwen/Qwen2.5-14B-Instruct
 tags:
+- fluently-lm
+- fluently-sets
+- demo
+- reasoning
 - text-generation-inference
 - transformers
 - unsloth
@@ -10,14 +14,23 @@ tags:
 license: apache-2.0
 language:
 - en
+datasets:
+- fluently-sets/reasoning-1-1k
+pipeline_tag: text-generation
 ---
 
-# Uploaded  model
+# Reasoning-1 1K Demo (Finetune of Qwen2.5-14B-IT on Reasoning-1-1k dataset)
 
-- **Developed by:** ehristoforu
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-14B-Instruct-bnb-4bit
+This is SFT-finetune Qwen2.5-14B-IT on Reasoning-1-1K dataset. This is far from a perfect model, its main purpose is to show an example of using the dataset.
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+- **Base model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
+- **Model type**: [Qwen2ForCausalLM](https://huggingface.co/models?other=qwen2)
+- **Number of parameters**: 14.8B
+- **Precision**: FP16
+- **Training method**: SFT
+- **Training dataset**: [fluently-sets/reasoning-1-1k](https://huggingface.co/datasets/fluently-sets/reasoning-1-1k)
+- **Languages**: English (mostly)
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+*Trained by Fluently Team ([@ehristoforu](https://huggingface.co/ehristoforu)) with [Unsloth AI](https://github.com/unslothai/unsloth) with love🥰*
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)