Update README.md

README.md

@@ -9,14 +9,65 @@ tags:
 - unsloth
 - mistral
 - trl
+- code
+datasets:
+- thesven/AetherCode-v1
 ---
 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6324ce4d5d0cf5c62c6e3c5a/NlTeemUNYet9p5963Sfhr.png)
+
 # Uploaded  model
 
 - **Developed by:** thesven
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/mistral-7b-v0.3-bnb-4bit
 
+This model is an iteration of the Mistral 7B model, fine-tuned using Supervised Fine-Tuning (SFT) on the AetherCode-v1 dataset specifically for code-related tasks. It combines the advanced capabilities of the base Mistral 7B model with specialized training to enhance its performance in software development contexts.
+
+## Usage
+```python
+from unsloth import FastLanguageModel
+
+max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
+dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
+load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.
+
+alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{}
+
+### Input:
+{}
+
+### Response:
+{}"""
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "thesven/Aether-Code-Mistral-7B-0.3-v1", # YOUR MODEL YOU USED FOR TRAINING
+    max_seq_length = max_seq_length,
+    dtype = dtype,
+    load_in_4bit = load_in_4bit,
+)
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+
+# alpaca_prompt = You MUST copy from above!
+
+inputs = tokenizer(
+[
+    alpaca_prompt.format(
+        "You are an expert python developer, help me with my questions.", # instruction
+        "How can I use puppeteer to get a mobile screen shot of a website?", # input
+        "", # output - leave this blank for generation!
+    ),
+], return_tensors = "pt").to("cuda")
+
+outputs = model.generate(**inputs, max_new_tokens = 4000, use_cache = True)
+print(tokenizer.batch_decode(outputs))
+```
+
+
 This mistral 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)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)