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varunpruthviraj/
qwen2.5-7b-merged-neil

Name: qwen2.5-7b-merged-neil
Availability: InStock

Qwen/Qwen2.5-7B-Instruct

finetune

text-generation-inference

endpoints_compatible

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🧠 qwen2.5-7b-merged-neil

Fine-tuned Qwen 2.5 7B model for enhanced text-generation and instruction following.

This model builds on Qwen/Qwen2.5-7B-Instruct and incorporates custom fine-tuning for improved reasoning, dialogue coherence, and response quality across general and specialized tasks.

🚀 Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "varunpruthviraj/qwen2.5-7b-merged-neil"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")

prompt = "Explain quantum computing in simple terms."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))