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RichardErkhov/aetherwiing_-_MN-12B-Starcannon-v1-gguf
aetherwiing_-_MN-12B-Starcannon-v1-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.
Downloads · 30 days
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.gguf163 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
MN-12B-Starcannon-v1 - GGUF
| Name | Quant method | Size |
|---|---|---|
| MN-12B-Starcannon-v1.Q2_K.gguf | Q2_K | 4.46GB |
| MN-12B-Starcannon-v1.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| MN-12B-Starcannon-v1.IQ3_S.gguf | IQ3_S | 5.18GB |
| MN-12B-Starcannon-v1.Q3_K_S.gguf | Q3_K_S | 5.15GB |
| MN-12B-Starcannon-v1.IQ3_M.gguf | IQ3_M | 5.33GB |
| MN-12B-Starcannon-v1.Q3_K.gguf | Q3_K | 5.67GB |
| MN-12B-Starcannon-v1.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| MN-12B-Starcannon-v1.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| MN-12B-Starcannon-v1.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| MN-12B-Starcannon-v1.Q4_0.gguf | Q4_0 | 6.59GB |
| MN-12B-Starcannon-v1.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| MN-12B-Starcannon-v1.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| MN-12B-Starcannon-v1.Q4_K.gguf | Q4_K | 6.96GB |
| MN-12B-Starcannon-v1.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| MN-12B-Starcannon-v1.Q4_1.gguf | Q4_1 | 7.26GB |
| MN-12B-Starcannon-v1.Q5_0.gguf | Q5_0 | 7.93GB |
| MN-12B-Starcannon-v1.Q5_K_S.gguf | Q5_K_S | 7.93GB |
| MN-12B-Starcannon-v1.Q5_K.gguf | Q5_K | 8.13GB |
| MN-12B-Starcannon-v1.Q5_K_M.gguf | Q5_K_M | 8.13GB |
| MN-12B-Starcannon-v1.Q5_1.gguf | Q5_1 | 8.61GB |
| MN-12B-Starcannon-v1.Q6_K.gguf | Q6_K | 9.37GB |
| MN-12B-Starcannon-v1.Q8_0.gguf | Q8_0 | 12.13GB |
base_model:
This is a merge of pre-trained language models created using mergekit. Seems to retain Celeste's human-like prose, but is bit more stable and is better at NSFW. <br>
Dynamic FP8 <br> Static GGUFs (by Mradermacher) <br> IMatrix GGUFs (by Mradermacher) <br>
This model was merged using the TIES merge method using nothingiisreal/Celeste-12B-V1.6 as a base.
models:
- model: intervitens/mini-magnum-12b-v1.1
parameters:
density: 0.3
weight: 0.5
- model: nothingiisreal/Celeste-12B-V1.6
parameters:
density: 0.7
weight: 0.5
merge_method: ties
base_model: nothingiisreal/Celeste-12B-V1.6
parameters:
normalize: true
int8_mask: true
dtype: float16