GGUF
conversational

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Quantization made by Richard Erkhov.

Github

Discord

Request more models

sn29 - GGUF

Name Quant method Size
sn29.Q2_K.gguf Q2_K 2.72GB
sn29.IQ3_XS.gguf IQ3_XS 2.99GB
sn29.IQ3_S.gguf IQ3_S 3.12GB
sn29.Q3_K_S.gguf Q3_K_S 3.11GB
sn29.IQ3_M.gguf IQ3_M 3.2GB
sn29.Q3_K.gguf Q3_K 3.38GB
sn29.Q3_K_M.gguf Q3_K_M 3.38GB
sn29.Q3_K_L.gguf Q3_K_L 3.54GB
sn29.IQ4_XS.gguf IQ4_XS 3.62GB
sn29.Q4_0.gguf Q4_0 3.71GB
sn29.IQ4_NL.gguf IQ4_NL 3.75GB
sn29.Q4_K_S.gguf Q4_K_S 3.91GB
sn29.Q4_K.gguf Q4_K 4.2GB
sn29.Q4_K_M.gguf Q4_K_M 4.2GB
sn29.Q4_1.gguf Q4_1 4.09GB
sn29.Q5_0.gguf Q5_0 4.46GB
sn29.Q5_K_S.gguf Q5_K_S 4.56GB
sn29.Q5_K.gguf Q5_K 4.8GB
sn29.Q5_K_M.gguf Q5_K_M 4.8GB
sn29.Q5_1.gguf Q5_1 4.84GB
sn29.Q6_K.gguf Q6_K 5.63GB
sn29.Q8_0.gguf Q8_0 6.82GB

Original model description:

library_name: transformers tags: []

Model Card for Model ID

Model Details

Model Description

This is the model card of a ๐Ÿค— 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]

Downloads last month
7
GGUF
Model size
7B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Paper for RichardErkhov/cmncomp_-_sn29-gguf