aloobun / Cypher-CoT-1.8B

huggingface.co
Total runs: 29
24-hour runs: -1
7-day runs: 5
30-day runs: 17
Model's Last Updated: February 28 2024
text-generation

Introduction of Cypher-CoT-1.8B

Model Details of Cypher-CoT-1.8B

Cypher aloobun h2oai1.8B

  • This is an experimental model, Finetuned h2oai/h2o-danube-1.8b-chat , on variety of CoT tasks.
  • The original idea was to use this 1.8B model, divide the dataset based on task specific capabilities, train models and transform them into a mixture of experts.
  • Hyperparameters: adamw with eps of 1e-8, cosine decay w/ 20% warmup, lr=2e-5.
Format:
<|system|></s><|prompt|></s><|answer|>
Benchamrks:

WIP

Example:
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer, StoppingCriteria
import torch

class MyStoppingCriteria(StoppingCriteria):
  def __init__(self, target_sequence, prompt):
    self.target_sequence = target_sequence
    self.prompt=prompt

  def __call__(self, input_ids, scores, **kwargs):
    generated_text = tokenizer.decode(input_ids[0])
    generated_text = generated_text.replace(self.prompt,'')
    if self.target_sequence in generated_text:
        return True 
    return False 

  def __len__(self):
    return 1

  def __iter__(self):
    yield self

modelpath="aloobun/Cypher-CoT-1.8B"

model = AutoModelForCausalLM.from_pretrained(
    modelpath,
    torch_dtype=torch.bfloat16,
    device_map="cuda",
    trust_remote_code=True,       
)

tokenizer = AutoTokenizer.from_pretrained(
    modelpath,
    trust_remote_code=True,      
    use_fast=False,
)

prompt = "<|prompt|>James takes a spinning class 3 times a week. He works out for 1.5 hours each class and burns 7 calories per minute. How many calories does he burn per week?</s><|answer|>"
encoded_input = tokenizer(prompt, return_tensors='pt')
input_ids=encoded_input['input_ids'].cuda()
streamer = TextStreamer(tokenizer=tokenizer, skip_prompt=True)
op = model.generate(
    input_ids,
    streamer=streamer,
    pad_token_id=tokenizer.eos_token_id,
    do_sample=True,
    temperature=0.7,
    top_p=0.8,
    max_new_tokens=512,
    stopping_criteria=MyStoppingCriteria("</s>", prompt)
)
Output:

James takes a spinning class 3 times a week, so he spends a total of 3 * 1.5 = 4.5 hours in the class each week. Since there are 60 minutes in an hour, this is equivalent to 4.5 * 60 = 270 minutes. If he burns 7 calories per minute, then he burns a total of 270 * 7 = 1890 calories per week. ####1890 The answer is: 1890

Runs of aloobun Cypher-CoT-1.8B on huggingface.co

29
Total runs
-1
24-hour runs
3
3-day runs
5
7-day runs
17
30-day runs

More Information About Cypher-CoT-1.8B huggingface.co Model

More Cypher-CoT-1.8B license Visit here:

https://choosealicense.com/licenses/apache-2.0

Cypher-CoT-1.8B huggingface.co

Cypher-CoT-1.8B huggingface.co is an AI model on huggingface.co that provides Cypher-CoT-1.8B's model effect (), which can be used instantly with this aloobun Cypher-CoT-1.8B model. huggingface.co supports a free trial of the Cypher-CoT-1.8B model, and also provides paid use of the Cypher-CoT-1.8B. Support call Cypher-CoT-1.8B model through api, including Node.js, Python, http.

Cypher-CoT-1.8B huggingface.co Url

https://huggingface.co/aloobun/Cypher-CoT-1.8B

aloobun Cypher-CoT-1.8B online free

Cypher-CoT-1.8B huggingface.co is an online trial and call api platform, which integrates Cypher-CoT-1.8B's modeling effects, including api services, and provides a free online trial of Cypher-CoT-1.8B, you can try Cypher-CoT-1.8B online for free by clicking the link below.

aloobun Cypher-CoT-1.8B online free url in huggingface.co:

https://huggingface.co/aloobun/Cypher-CoT-1.8B

Cypher-CoT-1.8B install

Cypher-CoT-1.8B is an open source model from GitHub that offers a free installation service, and any user can find Cypher-CoT-1.8B on GitHub to install. At the same time, huggingface.co provides the effect of Cypher-CoT-1.8B install, users can directly use Cypher-CoT-1.8B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Cypher-CoT-1.8B install url in huggingface.co:

https://huggingface.co/aloobun/Cypher-CoT-1.8B

Url of Cypher-CoT-1.8B

Cypher-CoT-1.8B huggingface.co Url

Provider of Cypher-CoT-1.8B huggingface.co

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