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TeeZee_-_BigMaid-20B-v2.0-gguf
RichardErkhov/TeeZee_-_BigMaid-20B-v2.0-gguf
TeeZee_-_BigMaid-20B-v2.0-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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.gguf236 GB · 100%
At a glance
- Access
- Public
- Created
- Nov 1, 2024
- Updated
- Nov 2, 2024
- SHA
- 172e2250
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
BigMaid-20B-v2.0 - GGUF
- Model creator: https://huggingface.co/TeeZee/
- Original model: https://huggingface.co/TeeZee/BigMaid-20B-v2.0/
| Name | Quant method | Size |
|---|---|---|
| BigMaid-20B-v2.0.Q2_K.gguf | Q2_K | 6.91GB |
| BigMaid-20B-v2.0.Q3_K_S.gguf | Q3_K_S | 8.06GB |
| BigMaid-20B-v2.0.Q3_K.gguf | Q3_K | 9.04GB |
| BigMaid-20B-v2.0.Q3_K_M.gguf | Q3_K_M | 9.04GB |
| BigMaid-20B-v2.0.Q3_K_L.gguf | Q3_K_L | 9.9GB |
| BigMaid-20B-v2.0.IQ4_XS.gguf | IQ4_XS | 10.01GB |
| BigMaid-20B-v2.0.Q4_0.gguf | Q4_0 | 10.52GB |
| BigMaid-20B-v2.0.IQ4_NL.gguf | IQ4_NL | 10.57GB |
| BigMaid-20B-v2.0.Q4_K_S.gguf | Q4_K_S | 10.59GB |
| BigMaid-20B-v2.0.Q4_K.gguf | Q4_K | 11.22GB |
| BigMaid-20B-v2.0.Q4_K_M.gguf | Q4_K_M | 11.22GB |
| BigMaid-20B-v2.0.Q4_1.gguf | Q4_1 | 11.67GB |
| BigMaid-20B-v2.0.Q5_0.gguf | Q5_0 | 12.83GB |
| BigMaid-20B-v2.0.Q5_K_S.gguf | Q5_K_S | 12.83GB |
| BigMaid-20B-v2.0.Q5_K.gguf | Q5_K | 13.18GB |
| BigMaid-20B-v2.0.Q5_K_M.gguf | Q5_K_M | 13.18GB |
| BigMaid-20B-v2.0.Q5_1.gguf | Q5_1 | 13.98GB |
| BigMaid-20B-v2.0.Q6_K.gguf | Q6_K | 15.28GB |
| BigMaid-20B-v2.0.Q8_0.gguf | Q8_0 | 19.79GB |
Original model description:
language:
- en license: apache-2.0 library_name: transformers tags:
- roleplay
- text-generation-inference
- mergekit
- merge
- not-for-all-audiences
BigMaid-20B-v2.0
This is a merge of pre-trained language models created using mergekit.
FP32 version
Tests
- model retains qualities of BigMaid-20B-v1.0 and it's also more creative and coherent.
Merge Details
Merge Method
- This model was merged using the passthrough merge method.
- Merge parameters were inspired by work of DavidAU and jukofyork
- thread
- thread
Models Merged
The following models were included in the merge:
- KatyTheCutie_EstopianMaid-13B
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: "./KatyTheCutie_EstopianMaid-13B"
layer_range: [0, 16]
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- model: "./KatyTheCutie_EstopianMaid-13B"
layer_range: [8, 24]
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- model: "./KatyTheCutie_EstopianMaid-13B"
layer_range: [17, 32]
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
- sources:
- model: "./KatyTheCutie_EstopianMaid-13B"
layer_range: [25, 40]
parameters:
scale:
- filter: q_proj
value: 0.7071067812
- filter: k_proj
value: 0.7071067812
- value: 1
merge_method: passthrough
dtype: float32
All comments are greatly appreciated, download, test and if you appreciate my work, consider buying me my fuel: <a href="https://www.buymeacoffee.com/TeeZee" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
- Created
- Nov 1, 2024
- Updated
- Nov 2, 2024