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aetherwiing_-_MN-12B-Starsong-v1-gguf
RichardErkhov/aetherwiing_-_MN-12B-Starsong-v1-gguf
aetherwiing_-_MN-12B-Starsong-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.
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.gguf163 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 14, 2024
- Updated
- Aug 14, 2024
- SHA
- f44dc365
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MN-12B-Starsong-v1 - GGUF
- Model creator: https://huggingface.co/aetherwiing/
- Original model: https://huggingface.co/aetherwiing/MN-12B-Starsong-v1/
| Name | Quant method | Size |
|---|---|---|
| MN-12B-Starsong-v1.Q2_K.gguf | Q2_K | 4.46GB |
| MN-12B-Starsong-v1.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| MN-12B-Starsong-v1.IQ3_S.gguf | IQ3_S | 5.18GB |
| MN-12B-Starsong-v1.Q3_K_S.gguf | Q3_K_S | 5.15GB |
| MN-12B-Starsong-v1.IQ3_M.gguf | IQ3_M | 5.33GB |
| MN-12B-Starsong-v1.Q3_K.gguf | Q3_K | 5.67GB |
| MN-12B-Starsong-v1.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| MN-12B-Starsong-v1.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| MN-12B-Starsong-v1.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| MN-12B-Starsong-v1.Q4_0.gguf | Q4_0 | 6.59GB |
| MN-12B-Starsong-v1.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| MN-12B-Starsong-v1.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| MN-12B-Starsong-v1.Q4_K.gguf | Q4_K | 6.96GB |
| MN-12B-Starsong-v1.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| MN-12B-Starsong-v1.Q4_1.gguf | Q4_1 | 7.26GB |
| MN-12B-Starsong-v1.Q5_0.gguf | Q5_0 | 7.93GB |
| MN-12B-Starsong-v1.Q5_K_S.gguf | Q5_K_S | 7.93GB |
| MN-12B-Starsong-v1.Q5_K.gguf | Q5_K | 8.13GB |
| MN-12B-Starsong-v1.Q5_K_M.gguf | Q5_K_M | 8.13GB |
| MN-12B-Starsong-v1.Q5_1.gguf | Q5_1 | 8.61GB |
| MN-12B-Starsong-v1.Q6_K.gguf | Q6_K | 9.37GB |
| MN-12B-Starsong-v1.Q8_0.gguf | Q8_0 | 12.13GB |
Original model description:
base_model:
- nothingiisreal/MN-12B-Celeste-V1.9
- Sao10K/MN-12B-Lyra-v1 library_name: transformers tags:
- mergekit
- merge
Mistral Nemo 12B Starsong
This is a merge of pre-trained language models created using mergekit. Just messing around, thought this one turned out distinct enough? YMMV on that, but I kinda liked it. It's definitely better for SFW than for NSFW tho. Seems to be stabler with Mistral formatting? Weird, both merged models were trained with ChatML. I guess we chalk it up to another merging anomaly, heh. <br> Unlicensed bc I got enlightened (lmao) and don't want to license machine output anymore.<br> Thanks to Sao for Lyra btw, really liking the direction where those experimental models are heading. Keep it up! <br><br> Static GGUF (by Mradermacher) <br> EXL2 (by kingbri of RoyalLab)
Merge Details
Merge Method
This model was merged using the TIES merge method using nothingiisreal/MN-12B-Celeste-V1.9 as a base.
Merge Fodder
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/MN-12B-Lyra-v1
parameters:
density: 0.45
weight: 0.5
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: 0.65
weight: 0.5
merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
- Created
- Aug 14, 2024
- Updated
- Aug 14, 2024