MaziyarPanahi / Llama-3-13B-Instruct-v0.1

huggingface.co
Total runs: 61
24-hour runs: -2
7-day runs: -53
30-day runs: -262
Model's Last Updated: April 20 2024
text-generation

Introduction of Llama-3-13B-Instruct-v0.1

Model Details of Llama-3-13B-Instruct-v0.1

Goku 8x22B v0.1 Logo

Llama-3-13B-Instruct-v0.1

This model is a self-merge of meta-llama/Meta-Llama-3-8B-Instruct model.

How to use

You can use this model by using MaziyarPanahi/Llama-3-13B-Instruct-v0.1 as the model name in Hugging Face's transformers library.

from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
from transformers import pipeline
import torch

model_id = "MaziyarPanahi/Llama-3-13B-Instruct-v0.1"

model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto",
    trust_remote_code=True,
    # attn_implementation="flash_attention_2"
)

tokenizer = AutoTokenizer.from_pretrained(
    model_id,
    trust_remote_code=True
)

streamer = TextStreamer(tokenizer)

pipeline = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    model_kwargs={"torch_dtype": torch.bfloat16},
    streamer=streamer
)

# Then you can use the pipeline to generate text.

messages = [
    {"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
    {"role": "user", "content": "Who are you?"},
]

prompt = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

terminators = [
    tokenizer.eos_token_id,
    tokenizer.convert_tokens_to_ids("<|eot_id|>")
]

outputs = pipeline(
    prompt,
    max_new_tokens=256,
    eos_token_id=terminators,
    do_sample=True,
    temperature=0.6,
    top_p=0.95,
)
print(outputs[0]["generated_text"][len(prompt):])
Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>

what's 25-4*2+3<|eot_id|><|start_header_id|>assistant<|end_header_id|>

To evaluate this expression, we need to follow the order of operations (PEMDAS):

1. First, multiply 4 and 2: 4*2 = 8
2. Then, subtract 8 from 25: 25 - 8 = 17
3. Finally, add 3: 17 + 3 = 20

So, 25-4*2+3 = 20!<|eot_id|>
To evaluate this expression, we need to follow the order of operations (PEMDAS):

1. First, multiply 4 and 2: 4*2 = 8
2. Then, subtract 8 from 25: 25 - 8 = 17
3. Finally, add 3: 17 + 3 = 20

So, 25-4*2+3 = 20!

Runs of MaziyarPanahi Llama-3-13B-Instruct-v0.1 on huggingface.co

61
Total runs
-2
24-hour runs
-5
3-day runs
-53
7-day runs
-262
30-day runs

More Information About Llama-3-13B-Instruct-v0.1 huggingface.co Model

More Llama-3-13B-Instruct-v0.1 license Visit here:

https://choosealicense.com/licenses/llama3

Llama-3-13B-Instruct-v0.1 huggingface.co

Llama-3-13B-Instruct-v0.1 huggingface.co is an AI model on huggingface.co that provides Llama-3-13B-Instruct-v0.1's model effect (), which can be used instantly with this MaziyarPanahi Llama-3-13B-Instruct-v0.1 model. huggingface.co supports a free trial of the Llama-3-13B-Instruct-v0.1 model, and also provides paid use of the Llama-3-13B-Instruct-v0.1. Support call Llama-3-13B-Instruct-v0.1 model through api, including Node.js, Python, http.

Llama-3-13B-Instruct-v0.1 huggingface.co Url

https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1

MaziyarPanahi Llama-3-13B-Instruct-v0.1 online free

Llama-3-13B-Instruct-v0.1 huggingface.co is an online trial and call api platform, which integrates Llama-3-13B-Instruct-v0.1's modeling effects, including api services, and provides a free online trial of Llama-3-13B-Instruct-v0.1, you can try Llama-3-13B-Instruct-v0.1 online for free by clicking the link below.

MaziyarPanahi Llama-3-13B-Instruct-v0.1 online free url in huggingface.co:

https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1

Llama-3-13B-Instruct-v0.1 install

Llama-3-13B-Instruct-v0.1 is an open source model from GitHub that offers a free installation service, and any user can find Llama-3-13B-Instruct-v0.1 on GitHub to install. At the same time, huggingface.co provides the effect of Llama-3-13B-Instruct-v0.1 install, users can directly use Llama-3-13B-Instruct-v0.1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Llama-3-13B-Instruct-v0.1 install url in huggingface.co:

https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1

Url of Llama-3-13B-Instruct-v0.1

Llama-3-13B-Instruct-v0.1 huggingface.co Url

Provider of Llama-3-13B-Instruct-v0.1 huggingface.co

MaziyarPanahi
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