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v000000_-_SyntheticMoist-11B-v2-gguf
RichardErkhov/v000000_-_SyntheticMoist-11B-v2-gguf
v000000_-_SyntheticMoist-11B-v2-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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122 GB
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.gguf141 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024
- SHA
- e080b6c4
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
SyntheticMoist-11B-v2 - GGUF
- Model creator: https://huggingface.co/v000000/
- Original model: https://huggingface.co/v000000/SyntheticMoist-11B-v2/
| Name | Quant method | Size |
|---|---|---|
| SyntheticMoist-11B-v2.Q2_K.gguf | Q2_K | 3.73GB |
| SyntheticMoist-11B-v2.IQ3_XS.gguf | IQ3_XS | 4.14GB |
| SyntheticMoist-11B-v2.IQ3_S.gguf | IQ3_S | 4.37GB |
| SyntheticMoist-11B-v2.Q3_K_S.gguf | Q3_K_S | 4.34GB |
| SyntheticMoist-11B-v2.IQ3_M.gguf | IQ3_M | 4.51GB |
| SyntheticMoist-11B-v2.Q3_K.gguf | Q3_K | 4.84GB |
| SyntheticMoist-11B-v2.Q3_K_M.gguf | Q3_K_M | 4.84GB |
| SyntheticMoist-11B-v2.Q3_K_L.gguf | Q3_K_L | 5.26GB |
| SyntheticMoist-11B-v2.IQ4_XS.gguf | IQ4_XS | 5.43GB |
| SyntheticMoist-11B-v2.Q4_0.gguf | Q4_0 | 5.66GB |
| SyntheticMoist-11B-v2.IQ4_NL.gguf | IQ4_NL | 5.72GB |
| SyntheticMoist-11B-v2.Q4_K_S.gguf | Q4_K_S | 5.7GB |
| SyntheticMoist-11B-v2.Q4_K.gguf | Q4_K | 6.02GB |
| SyntheticMoist-11B-v2.Q4_K_M.gguf | Q4_K_M | 6.02GB |
| SyntheticMoist-11B-v2.Q4_1.gguf | Q4_1 | 6.27GB |
| SyntheticMoist-11B-v2.Q5_0.gguf | Q5_0 | 6.89GB |
| SyntheticMoist-11B-v2.Q5_K_S.gguf | Q5_K_S | 6.89GB |
| SyntheticMoist-11B-v2.Q5_K.gguf | Q5_K | 7.08GB |
| SyntheticMoist-11B-v2.Q5_K_M.gguf | Q5_K_M | 7.08GB |
| SyntheticMoist-11B-v2.Q5_1.gguf | Q5_1 | 7.51GB |
| SyntheticMoist-11B-v2.Q6_K.gguf | Q6_K | 8.2GB |
| SyntheticMoist-11B-v2.Q8_0.gguf | Q8_0 | 10.62GB |
Original model description:
base_model:
- Sao10K/Fimbulvetr-11B-v2
- TheDrummer/Moistral-11B-v3
- Himitsui/MedMitsu-Instruct-11B
- Himitsui/Kaiju-11B
- migtissera/Synthia-v3.0-11B
- jeiku/Re-Host_Limarp_Mistral library_name: transformers tags:
- mergekit
- merge
- solar
- llama
- not-for-all-audiences
SyntheticMoist-v2
RP Model, Solar. Higher density+LimaRP led to better performance, Use Alpaca/Vicuna.
Thanks mradermacher for the quants!
Quants
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using Sao10K/Fimbulvetr-11B-v2 as a base.
Models Merged
The following models were included in the merge:
- TheDrummer/Moistral-11B-v3
- Himitsui/MedMitsu-Instruct-11B
- Himitsui/Kaiju-11B
- migtissera/Synthia-v3.0-11B + jeiku/Re-Host_Limarp_Mistral
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Himitsui/MedMitsu-Instruct-11B
parameters:
weight: 0.13
density: 0.60
- model: Himitsui/Kaiju-11B
parameters:
weight: 0.22
density: 0.73
- model: migtissera/Synthia-v3.0-11B+jeiku/Re-Host_Limarp_Mistral
parameters:
weight: 0.28
density: 0.80
- model: TheDrummer/Moistral-11B-v3
parameters:
weight: 0.37
density: 0.85
merge_method: dare_ties
base_model: Sao10K/Fimbulvetr-11B-v2
parameters:
int8_mask: true
dtype: bfloat16
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024