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lemon-mint_-_gemma-ko-7b-instruct-v0.50-gguf
RichardErkhov/lemon-mint_-_gemma-ko-7b-instruct-v0.50-gguf
lemon-mint_-_gemma-ko-7b-instruct-v0.50-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
- Nov 16, 2024
- Updated
- Nov 17, 2024
- SHA
- 3dccc966
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gemma-ko-7b-instruct-v0.50 - GGUF
- Model creator: https://huggingface.co/lemon-mint/
- Original model: https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.50/
| Name | Quant method | Size |
|---|---|---|
| gemma-ko-7b-instruct-v0.50.Q2_K.gguf | Q2_K | 3.24GB |
| gemma-ko-7b-instruct-v0.50.Q3_K_S.gguf | Q3_K_S | 3.71GB |
| gemma-ko-7b-instruct-v0.50.Q3_K.gguf | Q3_K | 4.07GB |
| gemma-ko-7b-instruct-v0.50.Q3_K_M.gguf | Q3_K_M | 4.07GB |
| gemma-ko-7b-instruct-v0.50.Q3_K_L.gguf | Q3_K_L | 4.39GB |
| gemma-ko-7b-instruct-v0.50.IQ4_XS.gguf | IQ4_XS | 4.48GB |
| gemma-ko-7b-instruct-v0.50.Q4_0.gguf | Q4_0 | 4.67GB |
| gemma-ko-7b-instruct-v0.50.IQ4_NL.gguf | IQ4_NL | 4.69GB |
| gemma-ko-7b-instruct-v0.50.Q4_K_S.gguf | Q4_K_S | 4.7GB |
| gemma-ko-7b-instruct-v0.50.Q4_K.gguf | Q4_K | 4.96GB |
| gemma-ko-7b-instruct-v0.50.Q4_K_M.gguf | Q4_K_M | 4.96GB |
| gemma-ko-7b-instruct-v0.50.Q4_1.gguf | Q4_1 | 5.12GB |
| gemma-ko-7b-instruct-v0.50.Q5_0.gguf | Q5_0 | 5.57GB |
| gemma-ko-7b-instruct-v0.50.Q5_K_S.gguf | Q5_K_S | 5.57GB |
| gemma-ko-7b-instruct-v0.50.Q5_K.gguf | Q5_K | 5.72GB |
| gemma-ko-7b-instruct-v0.50.Q5_K_M.gguf | Q5_K_M | 5.72GB |
| gemma-ko-7b-instruct-v0.50.Q5_1.gguf | Q5_1 | 6.02GB |
| gemma-ko-7b-instruct-v0.50.Q6_K.gguf | Q6_K | 6.53GB |
| gemma-ko-7b-instruct-v0.50.Q8_0.gguf | Q8_0 | 8.45GB |
Original model description:
library_name: transformers license: other license_name: gemma-terms-of-use license_link: https://ai.google.dev/gemma/terms language:
- ko
- en tags:
- korean
- gemma
- pytorch pipeline_tag: text-generation base_model: beomi/gemma-ko-7b
Gemma Ko 7B Instruct v0.50
- Eval Loss:
1.08372 - Train Loss:
1.09816 - lr:
1.5e-5 - optimizer: adamw
- lr_scheduler_type: cosine
Model Details
Model Description
The Gemma Ko 7B Instruct v0.50 model is designed for generating human-like text in the Korean language. It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation. This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.
- Developed by:
lemon-mint - Model type: Gemma
- Language(s) (NLP): Korean, English
- License: gemma-terms-of-use
- Finetuned from model: beomi/gemma-ko-7b
Limitations and Ethical Considerations
As Gemma Ko 7B has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.
- Created
- Nov 16, 2024
- Updated
- Nov 17, 2024