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README.md

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-base_model: allenai/OLMo-1B-hf
-library_name: peft
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-
-# OLMo Code Python3 Text-Only Model
-
-This is a LoRA adapter fine-tuned on the OLMo-1B model for Python 3 code generation tasks.
-
-## Model Details
-
-- **Base Model:** allenai/OLMo-1B-hf
-- **Model Type:** LoRA Adapter
-- **Task:** Causal Language Modeling for Python 3 code
-- **Language:** Python 3
-- **License:** MIT
-- **Fine-tuned by:** dipikakhullar
-
-## Model Description
-
-This model is a LoRA adapter that has been fine-tuned on Python 3 code data. It extends the capabilities of the base OLMo-1B model specifically for Python code generation tasks.
-
-### LoRA Configuration
-
-- **LoRA Type:** LORA
-- **LoRA Alpha:** 16
-- **LoRA Dropout:** 0.05
-- **LoRA Rank (r):** 8
-- **Target Modules:** down_proj, q_proj, v_proj, up_proj, k_proj, gate_proj, o_proj
-- **Task Type:** CAUSAL_LM
-
-## Uses
-
-### Direct Use
-
-This model is intended for Python 3 code generation tasks. It can be used to:
-- Generate Python code completions
-- Assist with code writing
-- Provide code suggestions
-
-### Downstream Use
-
-The model can be further fine-tuned for specific Python programming tasks or integrated into code generation applications.
-
-### Out-of-Scope Use
-
-This model is specifically designed for Python 3 code generation and may not perform well for:
-- Other programming languages
-- Natural language tasks
-- Non-code related tasks
-
-## How to Get Started with the Model
-
-```python
-from peft import PeftModel, PeftConfig
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Load the base model and tokenizer
-base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-1B-hf")
-tokenizer = AutoTokenizer.from_pretrained("allenai/OLMo-1B-hf")
-
-# Load the LoRA adapter
-model = PeftModel.from_pretrained(base_model, "dipikakhullar/olmo-code-python3-text-only")
-
-# Example usage
-prompt = "def fibonacci(n):"
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model.generate(**inputs, max_length=100, temperature=0.7)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
-```
-
-## Training Details
-
-### Training Data
-
-The model was fine-tuned on cleaned Python 3 code data specifically prepared for language model training.
-
-### Training Procedure
-
-- **Base Model:** allenai/OLMo-1B-hf
-- **Fine-tuning Method:** LoRA (Low-Rank Adaptation)
-- **Checkpoint:** checkpoint-6000
-
-## Model Card Contact
-
-- **Author:** dipikakhullar
-- **Repository:** https://huggingface.co/dipikakhullar/olmo-code-python3-text-only
-
-## Framework versions
-
-- PEFT 0.7.1
-- Transformers