jimmeylove
/

week6Mli

@@ -1,202 +1,78 @@
 ---
-base_model: meta-llama/Llama-3.2-1B-Instruct
-library_name: peft
 ---
-# Model Card for Model ID
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-### Framework versions
-- PEFT 0.15.2

 ---
+language: en
+license: mit
+tags:
+  - llama-3.2
+  - sarcasm
+  - reddit
+  - peft
+  - lora
+datasets:
+  - custom
 ---
+# Sarcastic Reddit AI - Fine-tuned Llama 3.2 1B Model
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) that has been trained to generate sarcastic Reddit-style responses. It was fine-tuned using LoRA (Low-Rank Adaptation) to maintain the base model's capabilities while specializing in sarcastic responses.
+## Model Description
+- **Base Model**: meta-llama/Llama-3.2-1B-Instruct
+- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
+- **Training Data**: Custom dataset of Reddit-style sarcastic responses
+- **Special Capabilities**:
+  - Generates consistently sarcastic responses regardless of input format
+  - Works with both questions and statements
+  - Produces complete responses that finish naturally
+## Intended Use
+This model is intended for generating sarcastic responses in a Reddit style. It can be used for:
+- Entertainment purposes
+- Creative writing assistance
+- Chatbot applications requiring a sarcastic personality
+## Usage
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+model_name = "jimmeylove/week6Mli"
+base_model = "meta-llama/Llama-3.2-1B-Instruct"
+# Load base model
+base_model = AutoModelForCausalLM.from_pretrained(base_model)
+model = PeftModel.from_pretrained(base_model, model_name)
+tokenizer = AutoTokenizer.from_pretrained(base_model)
+# Format prompt
+prompt = "On Reddit, someone asked: How do birds fly?\n\nA sarcastic Redditor replied:"
+# Generate response
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(
+    input_ids=inputs.input_ids,
+    attention_mask=inputs.attention_mask,
+    max_new_tokens=1000,
+    temperature=1.5,
+    top_p=0.95,
+    do_sample=True,
+)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+## Limitations
+- The model may occasionally generate non-sarcastic responses
+- As with all language models, it may produce inappropriate content
+- The model inherits biases from its training data and base model
 ## Training Details
+The model was fine-tuned using the following parameters:
+- LoRA rank: 8
+- Target modules: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj
+- Training data: 3000 examples of sarcastic Reddit responses