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netcat420_-_MFANNv0.20.10-gguf
RichardErkhov/netcat420_-_MFANNv0.20.10-gguf
netcat420_-_MFANNv0.20.10-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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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024
- SHA
- f2af8f6e
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MFANNv0.20.10 - GGUF
- Model creator: https://huggingface.co/netcat420/
- Original model: https://huggingface.co/netcat420/MFANNv0.20.10/
| Name | Quant method | Size |
|---|---|---|
| MFANNv0.20.10.Q2_K.gguf | Q2_K | 2.96GB |
| MFANNv0.20.10.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| MFANNv0.20.10.IQ3_S.gguf | IQ3_S | 3.43GB |
| MFANNv0.20.10.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| MFANNv0.20.10.IQ3_M.gguf | IQ3_M | 3.52GB |
| MFANNv0.20.10.Q3_K.gguf | Q3_K | 3.74GB |
| MFANNv0.20.10.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| MFANNv0.20.10.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| MFANNv0.20.10.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| MFANNv0.20.10.Q4_0.gguf | Q4_0 | 4.34GB |
| MFANNv0.20.10.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| MFANNv0.20.10.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| MFANNv0.20.10.Q4_K.gguf | Q4_K | 4.58GB |
| MFANNv0.20.10.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| MFANNv0.20.10.Q4_1.gguf | Q4_1 | 4.78GB |
| MFANNv0.20.10.Q5_0.gguf | Q5_0 | 5.21GB |
| MFANNv0.20.10.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| MFANNv0.20.10.Q5_K.gguf | Q5_K | 5.34GB |
| MFANNv0.20.10.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| MFANNv0.20.10.Q5_1.gguf | Q5_1 | 5.65GB |
| MFANNv0.20.10.Q6_K.gguf | Q6_K | 6.14GB |
| MFANNv0.20.10.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
base_model:
- netcat420/MFANNv0.19
- mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
- netcat420/MFANNv0.20 library_name: transformers tags:
- mergekit
- merge
MFANNv0.20.10
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 mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
# No parameters necessary for base model
- model: netcat420/MFANNv0.20
parameters:
density: 0.53
weight: 0.5
- model: netcat420/MFANNv0.19
parameters:
density: 0.53
weight: 0.5
merge_method: dare_ties
base_model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
parameters:
int8_mask: true
dtype: bfloat16
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024