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Kquant03_-_Samlagast-7B-bf16-gguf
RichardErkhov/Kquant03_-_Samlagast-7B-bf16-gguf
Kquant03_-_Samlagast-7B-bf16-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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.gguf95.2 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- 50a603ab
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Samlagast-7B-bf16 - GGUF
- Model creator: https://huggingface.co/Kquant03/
- Original model: https://huggingface.co/Kquant03/Samlagast-7B-bf16/
| Name | Quant method | Size |
|---|---|---|
| Samlagast-7B-bf16.Q2_K.gguf | Q2_K | 2.53GB |
| Samlagast-7B-bf16.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| Samlagast-7B-bf16.IQ3_S.gguf | IQ3_S | 2.96GB |
| Samlagast-7B-bf16.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Samlagast-7B-bf16.IQ3_M.gguf | IQ3_M | 3.06GB |
| Samlagast-7B-bf16.Q3_K.gguf | Q3_K | 3.28GB |
| Samlagast-7B-bf16.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Samlagast-7B-bf16.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Samlagast-7B-bf16.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Samlagast-7B-bf16.Q4_0.gguf | Q4_0 | 3.83GB |
| Samlagast-7B-bf16.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Samlagast-7B-bf16.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Samlagast-7B-bf16.Q4_K.gguf | Q4_K | 4.07GB |
| Samlagast-7B-bf16.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Samlagast-7B-bf16.Q4_1.gguf | Q4_1 | 4.24GB |
| Samlagast-7B-bf16.Q5_0.gguf | Q5_0 | 4.65GB |
| Samlagast-7B-bf16.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Samlagast-7B-bf16.Q5_K.gguf | Q5_K | 4.78GB |
| Samlagast-7B-bf16.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Samlagast-7B-bf16.Q5_1.gguf | Q5_1 | 5.07GB |
| Samlagast-7B-bf16.Q6_K.gguf | Q6_K | 5.53GB |
| Samlagast-7B-bf16.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
base_model:
- flemmingmiguel/MBX-7B-v3
- paulml/NeuralOmniWestBeaglake-7B
- FelixChao/Faraday-7B
- paulml/NeuralOmniBeagleMBX-v3-7B tags:
- mergekit
- merge license: apache-2.0 language:
- en
To see what will happen.
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the task arithmetic merge method using paulml/NeuralOmniBeagleMBX-v3-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: paulml/NeuralOmniWestBeaglake-7B
parameters:
weight: 1
- model: FelixChao/Faraday-7B
parameters:
weight: 1
- model: flemmingmiguel/MBX-7B-v3
parameters:
weight: 1
- model: paulml/NeuralOmniBeagleMBX-v3-7B
parameters:
weight: 1
merge_method: task_arithmetic
base_model: paulml/NeuralOmniBeagleMBX-v3-7B
parameters:
normalize: true
int8_mask: true
dtype: float16
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024