Quantization made by Richard Erkhov.
gemma-2b-data-std - GGUF
Original model description:
library_name: transformers
tags: []
license: other
Model Card for Model ID
This model card corresponds to the 2B base version of the Gemma model.
Model Details
Model Description
This is a additional pretrained model with 6M token.
- Developed by: jylee@b2en.com / ggaggoong97@naver.com
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: Korean/English
Uses
model = AutoModelForCausalLM.from_pretrained(
model_path,
vocab_size=len(tokenizer),
torch_dtype = torch.float16,
use_cache=False,
#attn_implementation="flash_attention_2",
device_map="auto")
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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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
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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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
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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