Trelis / SmolLM-360M-Instruct-layer-pruned-every2nd-200M

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 2
30-day runs: 4
Model's Last Updated: September 19 2024
text-generation

Introduction of SmolLM-360M-Instruct-layer-pruned-every2nd-200M

Model Details of SmolLM-360M-Instruct-layer-pruned-every2nd-200M

Model Card for Model ID

Model Details
Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]
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 Trelis SmolLM-360M-Instruct-layer-pruned-every2nd-200M on huggingface.co

10
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
4
30-day runs

More Information About SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co Model

SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co

SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co is an AI model on huggingface.co that provides SmolLM-360M-Instruct-layer-pruned-every2nd-200M's model effect (), which can be used instantly with this Trelis SmolLM-360M-Instruct-layer-pruned-every2nd-200M model. huggingface.co supports a free trial of the SmolLM-360M-Instruct-layer-pruned-every2nd-200M model, and also provides paid use of the SmolLM-360M-Instruct-layer-pruned-every2nd-200M. Support call SmolLM-360M-Instruct-layer-pruned-every2nd-200M model through api, including Node.js, Python, http.

SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co Url

https://huggingface.co/Trelis/SmolLM-360M-Instruct-layer-pruned-every2nd-200M

Trelis SmolLM-360M-Instruct-layer-pruned-every2nd-200M online free

SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co is an online trial and call api platform, which integrates SmolLM-360M-Instruct-layer-pruned-every2nd-200M's modeling effects, including api services, and provides a free online trial of SmolLM-360M-Instruct-layer-pruned-every2nd-200M, you can try SmolLM-360M-Instruct-layer-pruned-every2nd-200M online for free by clicking the link below.

Trelis SmolLM-360M-Instruct-layer-pruned-every2nd-200M online free url in huggingface.co:

https://huggingface.co/Trelis/SmolLM-360M-Instruct-layer-pruned-every2nd-200M

SmolLM-360M-Instruct-layer-pruned-every2nd-200M install

SmolLM-360M-Instruct-layer-pruned-every2nd-200M is an open source model from GitHub that offers a free installation service, and any user can find SmolLM-360M-Instruct-layer-pruned-every2nd-200M on GitHub to install. At the same time, huggingface.co provides the effect of SmolLM-360M-Instruct-layer-pruned-every2nd-200M install, users can directly use SmolLM-360M-Instruct-layer-pruned-every2nd-200M installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

SmolLM-360M-Instruct-layer-pruned-every2nd-200M install url in huggingface.co:

https://huggingface.co/Trelis/SmolLM-360M-Instruct-layer-pruned-every2nd-200M

Url of SmolLM-360M-Instruct-layer-pruned-every2nd-200M

SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co Url

Provider of SmolLM-360M-Instruct-layer-pruned-every2nd-200M huggingface.co

Trelis
ORGANIZATIONS

Other API from Trelis

huggingface.co

Total runs: 617
Run Growth: 202
Growth Rate: 32.74%
Updated:July 21 2026
huggingface.co

Total runs: 70
Run Growth: 70
Growth Rate: 100.00%
Updated:November 21 2025
huggingface.co

Total runs: 55
Run Growth: 0
Growth Rate: 0.00%
Updated:September 18 2024
huggingface.co

Total runs: 12
Run Growth: 12
Growth Rate: 100.00%
Updated:September 24 2024
huggingface.co

Total runs: 8
Run Growth: -1
Growth Rate: -12.50%
Updated:November 26 2024