Quantization made by Richard Erkhov.
Phenom-12B-0.1 - GGUF
- Model creator: https://huggingface.co/Bacon666/
- Original model: https://huggingface.co/Bacon666/Phenom-12B-0.1/
Name | Quant method | Size |
---|---|---|
Phenom-12B-0.1.Q2_K.gguf | Q2_K | 4.46GB |
Phenom-12B-0.1.Q3_K_S.gguf | Q3_K_S | 5.15GB |
Phenom-12B-0.1.Q3_K.gguf | Q3_K | 5.67GB |
Phenom-12B-0.1.Q3_K_M.gguf | Q3_K_M | 5.67GB |
Phenom-12B-0.1.Q3_K_L.gguf | Q3_K_L | 6.11GB |
Phenom-12B-0.1.IQ4_XS.gguf | IQ4_XS | 6.33GB |
Phenom-12B-0.1.Q4_0.gguf | Q4_0 | 6.59GB |
Phenom-12B-0.1.IQ4_NL.gguf | IQ4_NL | 6.65GB |
Phenom-12B-0.1.Q4_K_S.gguf | Q4_K_S | 6.63GB |
Phenom-12B-0.1.Q4_K.gguf | Q4_K | 6.96GB |
Phenom-12B-0.1.Q4_K_M.gguf | Q4_K_M | 6.96GB |
Phenom-12B-0.1.Q4_1.gguf | Q4_1 | 7.26GB |
Phenom-12B-0.1.Q5_0.gguf | Q5_0 | 7.93GB |
Phenom-12B-0.1.Q5_K_S.gguf | Q5_K_S | 7.93GB |
Phenom-12B-0.1.Q5_K.gguf | Q5_K | 8.13GB |
Phenom-12B-0.1.Q5_K_M.gguf | Q5_K_M | 8.13GB |
Phenom-12B-0.1.Q5_1.gguf | Q5_1 | 8.61GB |
Phenom-12B-0.1.Q6_K.gguf | Q6_K | 9.37GB |
Phenom-12B-0.1.Q8_0.gguf | Q8_0 | 12.13GB |
Original model description:
base_model:
- anthracite-org/magnum-v2.5-12b-kto
- TheDrummer/Rocinante-12B-v1.1
- MarinaraSpaghetti/NemoMix-Unleashed-12B
- elinas/Chronos-Gold-12B-1.0 library_name: transformers tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della_linear merge method using TheDrummer/Rocinante-12B-v1.1 as a base.
Models Merged
The following models were included in the merge:
- anthracite-org/magnum-v2.5-12b-kto
- MarinaraSpaghetti/NemoMix-Unleashed-12B
- elinas/Chronos-Gold-12B-1.0
Configuration
The following YAML configuration was used to produce this model:
models:
- model: MarinaraSpaghetti/NemoMix-Unleashed-12B
parameters:
weight: 0.25
density: 0.84
- model: elinas/Chronos-Gold-12B-1.0
parameters:
weight: 0.4
density: 0.88
- model: anthracite-org/magnum-v2.5-12b-kto
parameters:
weight: 0.6
density: 0.9
merge_method: della_linear
base_model: TheDrummer/Rocinante-12B-v1.1
parameters:
int8_mask: true
epsilon: 0.07
lambda: 1
dtype: bfloat16