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RichardErkhov/
jkim03_-_rendezvous-radar-model-gguf

Name: jkim03_-_rendezvous-radar-model-gguf
Availability: InStock

endpoints_compatible

gguf

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rendezvous-radar-model - GGUF

Model creator: https://huggingface.co/jkim03/
Original model: https://huggingface.co/jkim03/rendezvous-radar-model/

Name	Quant method	Size
rendezvous-radar-model.Q2_K.gguf	Q2_K	0.06GB
rendezvous-radar-model.IQ3_XS.gguf	IQ3_XS	0.07GB
rendezvous-radar-model.IQ3_S.gguf	IQ3_S	0.07GB
rendezvous-radar-model.Q3_K_S.gguf	Q3_K_S	0.07GB
rendezvous-radar-model.IQ3_M.gguf	IQ3_M	0.07GB
rendezvous-radar-model.Q3_K.gguf	Q3_K	0.07GB
rendezvous-radar-model.Q3_K_M.gguf	Q3_K_M	0.07GB
rendezvous-radar-model.Q3_K_L.gguf	Q3_K_L	0.07GB
rendezvous-radar-model.IQ4_XS.gguf	IQ4_XS	0.07GB
rendezvous-radar-model.Q4_0.gguf	Q4_0	0.08GB
rendezvous-radar-model.IQ4_NL.gguf	IQ4_NL	0.08GB
rendezvous-radar-model.Q4_K_S.gguf	Q4_K_S	0.08GB
rendezvous-radar-model.Q4_K.gguf	Q4_K	0.08GB
rendezvous-radar-model.Q4_K_M.gguf	Q4_K_M	0.08GB
rendezvous-radar-model.Q4_1.gguf	Q4_1	0.08GB
rendezvous-radar-model.Q5_0.gguf	Q5_0	0.09GB
rendezvous-radar-model.Q5_K_S.gguf	Q5_K_S	0.09GB
rendezvous-radar-model.Q5_K.gguf	Q5_K	0.09GB
rendezvous-radar-model.Q5_K_M.gguf	Q5_K_M	0.09GB
rendezvous-radar-model.Q5_1.gguf	Q5_1	0.09GB
rendezvous-radar-model.Q6_K.gguf	Q6_K	0.1GB
rendezvous-radar-model.Q8_0.gguf	Q8_0	0.12GB

Original model description:

library_name: transformers tags: []

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: [Jinha Kim and Jerry Chen]
Model type: [LLM Prompt Classifier]
License: [MIT]
Finetuned from model [distilgpt2]: [https://huggingface.co/distilbert/distilgpt2]

Repository: [https://huggingface.co/jkim03/rendezvous-radar-model]

Uses

Used to return OpenStreetMap tags from user prompts.

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.

Training Details

Training Data

Training data

Training Procedure and Hyperparameters

Training Script

Speeds, Sizes, Times [optional]

Training runtime: 774.4637 Training samples per second: 1.704 Training steps per second: 0.857

Evaluation

Training Loss: 1.234485605394984 Epoch: 8.0 Loss: 0.3482

RichardErkhov/jkim03_-_rendezvous-radar-model-gguf