abacusai / Smaug-2-72B

huggingface.co
Total runs: 29
24-hour runs: 0
7-day runs: 1
30-day runs: 12
Model's Last Updated: April 16 2024
text-generation

Introduction of Smaug-2-72B

Model Details of Smaug-2-72B

Model Card for Model ID

image/png

image/png

Introducing Smaug-2, the return of Smaug!

This version of Smaug is based on the Qwen1.5-72B-Chat model and has undergone further fine-tuning. It is specialised in the areas of reasoning and coding.

It outperforms Qwen1.5-72B-Chat on MT-Bench, as shown below.

MT-Bench

We ran MT-Bench with the Qwen conversation template.

Model First Turn Second Turn Average
Qwen1.5-72B-Chat 8.59 8.08 8.34
Smaug-2-72B 8.86 8.20 8.53
HumanEval

We ran HumanEval with pass@1 with the Qwen conversation template. Smaug-2 outperforms Qwen1.5-72B-Chat by approximately 10%:

Model pass@1 (%)
Qwen1.5-72B-Chat 56.7
Smaug-2-72B 66.5

This version of Smaug uses new techniques and new data compared to Smaug-72B , and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228 .

Model Details
Model Sources [optional]
  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]
Uses
Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details
Training Data

[More Information Needed]

Training Procedure
Preprocessing [optional]

[More Information Needed]

Training Hyperparameters
  • Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation
Testing Data, Factors & Metrics
Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary
Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019) .

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Runs of abacusai Smaug-2-72B on huggingface.co

29
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
12
30-day runs

More Information About Smaug-2-72B huggingface.co Model

More Smaug-2-72B license Visit here:

https://choosealicense.com/licenses/tongyi-qianwen

Smaug-2-72B huggingface.co

Smaug-2-72B huggingface.co is an AI model on huggingface.co that provides Smaug-2-72B's model effect (), which can be used instantly with this abacusai Smaug-2-72B model. huggingface.co supports a free trial of the Smaug-2-72B model, and also provides paid use of the Smaug-2-72B. Support call Smaug-2-72B model through api, including Node.js, Python, http.

Smaug-2-72B huggingface.co Url

https://huggingface.co/abacusai/Smaug-2-72B

abacusai Smaug-2-72B online free

Smaug-2-72B huggingface.co is an online trial and call api platform, which integrates Smaug-2-72B's modeling effects, including api services, and provides a free online trial of Smaug-2-72B, you can try Smaug-2-72B online for free by clicking the link below.

abacusai Smaug-2-72B online free url in huggingface.co:

https://huggingface.co/abacusai/Smaug-2-72B

Smaug-2-72B install

Smaug-2-72B is an open source model from GitHub that offers a free installation service, and any user can find Smaug-2-72B on GitHub to install. At the same time, huggingface.co provides the effect of Smaug-2-72B install, users can directly use Smaug-2-72B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Smaug-2-72B install url in huggingface.co:

https://huggingface.co/abacusai/Smaug-2-72B

Url of Smaug-2-72B

Smaug-2-72B huggingface.co Url

Provider of Smaug-2-72B huggingface.co

abacusai
ORGANIZATIONS

Other API from abacusai

huggingface.co

Total runs: 8.7K
Run Growth: 315
Growth Rate: 3.63%
Updated:March 07 2024
huggingface.co

Total runs: 3.2K
Run Growth: 3.2K
Growth Rate: 99.81%
Updated:September 09 2026
huggingface.co

Total runs: 236
Run Growth: 230
Growth Rate: 97.46%
Updated:September 10 2026