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4yo1_-_llama3-pre1-ds-lora3-gguf
RichardErkhov/4yo1_-_llama3-pre1-ds-lora3-gguf
4yo1_-_llama3-pre1-ds-lora3-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- d6a3c727
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
llama3-pre1-ds-lora3 - GGUF
- Model creator: https://huggingface.co/4yo1/
- Original model: https://huggingface.co/4yo1/llama3-pre1-ds-lora3/
| Name | Quant method | Size |
|---|---|---|
| llama3-pre1-ds-lora3.Q2_K.gguf | Q2_K | 2.96GB |
| llama3-pre1-ds-lora3.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| llama3-pre1-ds-lora3.IQ3_S.gguf | IQ3_S | 3.43GB |
| llama3-pre1-ds-lora3.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| llama3-pre1-ds-lora3.IQ3_M.gguf | IQ3_M | 3.52GB |
| llama3-pre1-ds-lora3.Q3_K.gguf | Q3_K | 3.74GB |
| llama3-pre1-ds-lora3.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| llama3-pre1-ds-lora3.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| llama3-pre1-ds-lora3.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| llama3-pre1-ds-lora3.Q4_0.gguf | Q4_0 | 4.34GB |
| llama3-pre1-ds-lora3.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| llama3-pre1-ds-lora3.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| llama3-pre1-ds-lora3.Q4_K.gguf | Q4_K | 4.58GB |
| llama3-pre1-ds-lora3.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| llama3-pre1-ds-lora3.Q4_1.gguf | Q4_1 | 4.78GB |
| llama3-pre1-ds-lora3.Q5_0.gguf | Q5_0 | 5.21GB |
| llama3-pre1-ds-lora3.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| llama3-pre1-ds-lora3.Q5_K.gguf | Q5_K | 5.34GB |
| llama3-pre1-ds-lora3.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| llama3-pre1-ds-lora3.Q5_1.gguf | Q5_1 | 5.65GB |
| llama3-pre1-ds-lora3.Q6_K.gguf | Q6_K | 6.14GB |
| llama3-pre1-ds-lora3.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers language:
- en
- ko pipeline_tag: translation tags:
- llama-3-ko license: mit datasets:
- recipes
Model Card for Model ID
Model Details
Model Card: llama3-pre1-ds-lora3 with Fine-Tuning Model Overview Model Name: llama3-pre1-ds-lora3
Model Type: Transformer-based Language Model
Model Size: 8 billion parameters
by: 4yo1
Languages: English and Korean
Model Description
llama3-pre1-ds-lora3 is a language model pre-trained on a diverse corpus of English and Korean texts. This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.
how to use - sample code
from transformers import AutoConfig, AutoModel, AutoTokenizer
config = AutoConfig.from_pretrained("4yo1/llama3-pre1-ds-lora3")
model = AutoModel.from_pretrained("4yo1/llama3-pre1-ds-lora3")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama3-pre1-ds-lora3")
datasets:
- recipes
license: mit
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024