Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
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Quantization made by Richard Erkhov.
05-6906grapph - GGUF
| Name | Quant method | Size |
|---|---|---|
| 05-6906grapph.Q2_K.gguf | Q2_K | 2.96GB |
| 05-6906grapph.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| 05-6906grapph.IQ3_S.gguf | IQ3_S | 3.43GB |
| 05-6906grapph.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| 05-6906grapph.IQ3_M.gguf | IQ3_M | 3.52GB |
| 05-6906grapph.Q3_K.gguf | Q3_K | 3.74GB |
| 05-6906grapph.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| 05-6906grapph.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| 05-6906grapph.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| 05-6906grapph.Q4_0.gguf | Q4_0 | 4.34GB |
| 05-6906grapph.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| 05-6906grapph.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| 05-6906grapph.Q4_K.gguf | Q4_K | 4.58GB |
| 05-6906grapph.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| 05-6906grapph.Q4_1.gguf | Q4_1 | 4.78GB |
| 05-6906grapph.Q5_0.gguf | Q5_0 | 5.21GB |
| 05-6906grapph.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| 05-6906grapph.Q5_K.gguf | Q5_K | 5.34GB |
| 05-6906grapph.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| 05-6906grapph.Q5_1.gguf | Q5_1 | 5.65GB |
| 05-6906grapph.Q6_K.gguf | Q6_K | 6.14GB |
| 05-6906grapph.Q8_0.gguf | Q8_0 | 7.95GB |
base_model: [] library_name: transformers tags:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the linear merge method using /root/top2 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: /root/top2
parameters:
weight: 0.9650
- model: /root/top1
parameters:
weight: 0.0350
base_model: /root/top2
merge_method: linear
dtype: bfloat16
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