Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


gemma-2b-data-std - GGUF
- Model creator: https://huggingface.co/jylee420/
- Original model: https://huggingface.co/jylee420/gemma-2b-data-std/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [gemma-2b-data-std.Q2_K.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q2_K.gguf) | Q2_K | 1.08GB |
| [gemma-2b-data-std.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.IQ3_XS.gguf) | IQ3_XS | 1.16GB |
| [gemma-2b-data-std.IQ3_S.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.IQ3_S.gguf) | IQ3_S | 1.2GB |
| [gemma-2b-data-std.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q3_K_S.gguf) | Q3_K_S | 1.2GB |
| [gemma-2b-data-std.IQ3_M.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.IQ3_M.gguf) | IQ3_M | 1.22GB |
| [gemma-2b-data-std.Q3_K.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q3_K.gguf) | Q3_K | 1.29GB |
| [gemma-2b-data-std.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q3_K_M.gguf) | Q3_K_M | 1.29GB |
| [gemma-2b-data-std.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q3_K_L.gguf) | Q3_K_L | 1.36GB |
| [gemma-2b-data-std.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.IQ4_XS.gguf) | IQ4_XS | 1.4GB |
| [gemma-2b-data-std.Q4_0.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q4_0.gguf) | Q4_0 | 1.44GB |
| [gemma-2b-data-std.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.IQ4_NL.gguf) | IQ4_NL | 1.45GB |
| [gemma-2b-data-std.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q4_K_S.gguf) | Q4_K_S | 1.45GB |
| [gemma-2b-data-std.Q4_K.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q4_K.gguf) | Q4_K | 1.52GB |
| [gemma-2b-data-std.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q4_K_M.gguf) | Q4_K_M | 1.52GB |
| [gemma-2b-data-std.Q4_1.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q4_1.gguf) | Q4_1 | 1.56GB |
| [gemma-2b-data-std.Q5_0.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q5_0.gguf) | Q5_0 | 1.68GB |
| [gemma-2b-data-std.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q5_K_S.gguf) | Q5_K_S | 1.68GB |
| [gemma-2b-data-std.Q5_K.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q5_K.gguf) | Q5_K | 1.71GB |
| [gemma-2b-data-std.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q5_K_M.gguf) | Q5_K_M | 1.71GB |
| [gemma-2b-data-std.Q5_1.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q5_1.gguf) | Q5_1 | 1.79GB |
| [gemma-2b-data-std.Q6_K.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q6_K.gguf) | Q6_K | 1.92GB |
| [gemma-2b-data-std.Q8_0.gguf](https://huggingface.co/RichardErkhov/jylee420_-_gemma-2b-data-std-gguf/blob/main/gemma-2b-data-std.Q8_0.gguf) | Q8_0 | 2.49GB |




Original model description:
---
library_name: transformers
tags: []
license: other
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model card corresponds to the 2B base version of the Gemma model.

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

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

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

[More Information Needed]

### Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

[More Information Needed]

### Training Procedure 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

[More Information Needed]

## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

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[More Information Needed]

#### Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

[More Information Needed]

#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

[More Information Needed]

### Results

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#### Summary



## Model Examination [optional]

<!-- Relevant interpretability work for the model goes here -->

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## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **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]

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

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## Model Card Authors [optional]

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## Model Card Contact

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