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Set better defaults
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app.py
CHANGED
@@ -17,7 +17,6 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# Load peft config for pre-trained checkpoint etc.
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_id = "trl-lib/llama-se-rl-merged"
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if device == "cpu":
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@@ -32,33 +31,8 @@ tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=HF_TOKEN)
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PROMPT_TEMPLATE = """Question: {prompt}\n\nAnswer: """
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def generate(instruction, temperature=1, max_new_tokens=256, top_p=1, top_k=
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formatted_instruction = PROMPT_TEMPLATE.format(prompt=instruction)
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# COMMENT IN FOR NON STREAMING
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# generation_config = GenerationConfig(
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# do_sample=True,
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# top_p=top_p,
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# temperature=temperature,
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# max_new_tokens=max_new_tokens,
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# early_stopping=True,
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# length_penalty=length_penalty,
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# eos_token_id=tokenizer.eos_token_id,
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# pad_token_id=tokenizer.pad_token_id,
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# )
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# input_ids = tokenizer(
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# formatted_instruction, return_tensors="pt", truncation=True, max_length=2048
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# ).input_ids.cuda()
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# with torch.inference_mode(), torch.autocast("cuda"):
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# outputs = model.generate(input_ids=input_ids, generation_config=generation_config)[0]
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# output = tokenizer.decode(outputs.detach().cpu().numpy(), skip_special_tokens=True)
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# return output.split("### Antwort:\n")[1]
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# STREAMING BASED ON git+https://github.com/gante/transformers.git@streamer_iterator
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# streaming
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streamer = TextIteratorStreamer(tokenizer)
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model_inputs = tokenizer(formatted_instruction, return_tensors="pt", truncation=True, max_length=2048).to(device)
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@@ -93,7 +67,7 @@ examples = [
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"How do I create an array in C++ of length 5 which contains all even numbers between 1 and 10?",
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"How can I write a Java function to generate the nth Fibonacci number?",
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"How can I write a Python function that checks if a given number is a palindrome or not?",
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"
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]
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@@ -164,7 +138,7 @@ with gr.Blocks(theme=theme) as demo:
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)
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top_k = gr.Slider(
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label="Top-k",
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value=
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minimum=0,
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maximum=100,
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step=2,
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_id = "trl-lib/llama-se-rl-merged"
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if device == "cpu":
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PROMPT_TEMPLATE = """Question: {prompt}\n\nAnswer: """
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def generate(instruction, temperature=1, max_new_tokens=256, top_p=1, top_k=0):
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formatted_instruction = PROMPT_TEMPLATE.format(prompt=instruction)
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streamer = TextIteratorStreamer(tokenizer)
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model_inputs = tokenizer(formatted_instruction, return_tensors="pt", truncation=True, max_length=2048).to(device)
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"How do I create an array in C++ of length 5 which contains all even numbers between 1 and 10?",
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"How can I write a Java function to generate the nth Fibonacci number?",
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"How can I write a Python function that checks if a given number is a palindrome or not?",
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"I have a lion in my garden. How can I get rid of it?",
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]
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)
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top_k = gr.Slider(
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label="Top-k",
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value=0,
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minimum=0,
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maximum=100,
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step=2,
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