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rendoo_-_04_rendoo_luman0004_49-gguf
RichardErkhov/rendoo_-_04_rendoo_luman0004_49-gguf
rendoo_-_04_rendoo_luman0004_49-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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Repo size
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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025
- SHA
- 0268c1f8
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
04_rendoo_luman0004_49 - GGUF
- Model creator: https://huggingface.co/rendoo/
- Original model: https://huggingface.co/rendoo/04_rendoo_luman0004_49/
| Name | Quant method | Size |
|---|---|---|
| 04_rendoo_luman0004_49.Q2_K.gguf | Q2_K | 2.96GB |
| 04_rendoo_luman0004_49.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| 04_rendoo_luman0004_49.IQ3_S.gguf | IQ3_S | 3.43GB |
| 04_rendoo_luman0004_49.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| 04_rendoo_luman0004_49.IQ3_M.gguf | IQ3_M | 3.52GB |
| 04_rendoo_luman0004_49.Q3_K.gguf | Q3_K | 3.74GB |
| 04_rendoo_luman0004_49.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| 04_rendoo_luman0004_49.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| 04_rendoo_luman0004_49.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| 04_rendoo_luman0004_49.Q4_0.gguf | Q4_0 | 4.34GB |
| 04_rendoo_luman0004_49.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| 04_rendoo_luman0004_49.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| 04_rendoo_luman0004_49.Q4_K.gguf | Q4_K | 4.58GB |
| 04_rendoo_luman0004_49.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| 04_rendoo_luman0004_49.Q4_1.gguf | Q4_1 | 4.78GB |
| 04_rendoo_luman0004_49.Q5_0.gguf | Q5_0 | 5.21GB |
| 04_rendoo_luman0004_49.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| 04_rendoo_luman0004_49.Q5_K.gguf | Q5_K | 5.34GB |
| 04_rendoo_luman0004_49.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| 04_rendoo_luman0004_49.Q5_1.gguf | Q5_1 | 5.65GB |
| 04_rendoo_luman0004_49.Q6_K.gguf | Q6_K | 6.14GB |
| 04_rendoo_luman0004_49.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
base_model: [] library_name: transformers tags:
- mergekit
- merge
model
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method using /root/model2 as a base.
Models Merged
The following models were included in the merge:
- /root/model1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: /root/model2
parameters:
weight: 0.9916
- model: /root/model1
parameters:
weight: 0.0084
base_model: /root/model2
merge_method: linear
dtype: bfloat16
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025