%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Mamba 1.4b Instruct Hf
Model Overview
Model Features
Model Capabilities
Use Cases
đ Model Card for Model ID
This is a model card for a đ¤ transformers model pushed on the Hub. It briefly introduces the model's basic information, usage, training details, and other aspects.
đ Quick Start
Use the code below to get started with the model.
# [More Information Needed]
⨠Features
This is the model card of a đ¤ transformers model that has been pushed on the Hub. This model card has been automatically generated.
đ Documentation
Model Details
| Property | Details |
|---|---|
| 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] |
| 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
đĄ Usage Tip
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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
[More Information Needed]
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).
| Property | Details |
|---|---|
| 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
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]
Transformers Transformers Supports Multiple Languages