TechxGenus / starcoder2-15b-instruct-GPTQ

huggingface.co
Total runs: 42
24-hour runs: 0
7-day runs: 0
30-day runs: 41
Model's Last Updated: March 24 2024
text-generation

Introduction of starcoder2-15b-instruct-GPTQ

Model Details of starcoder2-15b-instruct-GPTQ

starcoder2-instruct

GPTQ quantized version of starcoder2-15b-instruct model.


starcoder2-instruct

We've fine-tuned starcoder2-15b with an additional 0.7 billion high-quality, code-related tokens for 3 epochs. We used DeepSpeed ZeRO 3 and Flash Attention 2 to accelerate the training process. It achieves 77.4 pass@1 on HumanEval-Python. This model operates using the Alpaca instruction format (excluding the system prompt).

Usage

Here give some examples of how to use our model:

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
PROMPT = """### Instruction
{instruction}
### Response
"""
instruction = <Your code instruction here>
prompt = PROMPT.format(instruction=instruction)
tokenizer = AutoTokenizer.from_pretrained("TechxGenus/starcoder2-15b-instruct")
model = AutoModelForCausalLM.from_pretrained(
    "TechxGenus/starcoder2-15b-instruct",
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(input_ids=inputs.to(model.device), max_new_tokens=2048)
print(tokenizer.decode(outputs[0]))

With text-generation pipeline:

from transformers import pipeline
import torch
PROMPT = """### Instruction
{instruction}
### Response
"""
instruction = <Your code instruction here>
prompt = PROMPT.format(instruction=instruction)
generator = pipeline(
    model="TechxGenus/starcoder2-15b-instruct",
    task="text-generation",
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
result = generator(prompt, max_length=2048)
print(result[0]["generated_text"])
Note

Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.

Runs of TechxGenus starcoder2-15b-instruct-GPTQ on huggingface.co

42
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
41
30-day runs

More Information About starcoder2-15b-instruct-GPTQ huggingface.co Model

More starcoder2-15b-instruct-GPTQ license Visit here:

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starcoder2-15b-instruct-GPTQ huggingface.co

starcoder2-15b-instruct-GPTQ huggingface.co is an AI model on huggingface.co that provides starcoder2-15b-instruct-GPTQ's model effect (), which can be used instantly with this TechxGenus starcoder2-15b-instruct-GPTQ model. huggingface.co supports a free trial of the starcoder2-15b-instruct-GPTQ model, and also provides paid use of the starcoder2-15b-instruct-GPTQ. Support call starcoder2-15b-instruct-GPTQ model through api, including Node.js, Python, http.

starcoder2-15b-instruct-GPTQ huggingface.co Url

https://huggingface.co/TechxGenus/starcoder2-15b-instruct-GPTQ

TechxGenus starcoder2-15b-instruct-GPTQ online free

starcoder2-15b-instruct-GPTQ huggingface.co is an online trial and call api platform, which integrates starcoder2-15b-instruct-GPTQ's modeling effects, including api services, and provides a free online trial of starcoder2-15b-instruct-GPTQ, you can try starcoder2-15b-instruct-GPTQ online for free by clicking the link below.

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https://huggingface.co/TechxGenus/starcoder2-15b-instruct-GPTQ

starcoder2-15b-instruct-GPTQ install

starcoder2-15b-instruct-GPTQ is an open source model from GitHub that offers a free installation service, and any user can find starcoder2-15b-instruct-GPTQ on GitHub to install. At the same time, huggingface.co provides the effect of starcoder2-15b-instruct-GPTQ install, users can directly use starcoder2-15b-instruct-GPTQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

starcoder2-15b-instruct-GPTQ install url in huggingface.co:

https://huggingface.co/TechxGenus/starcoder2-15b-instruct-GPTQ

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