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stevez80_-_ErebusNeuralSamir-7B-dare-ties-gguf – AI Model by RichardErkhov | AlphaNeural AI
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stevez80_-_ErebusNeuralSamir-7B-dare-ties-gguf
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Quantization made by Richard Erkhov.
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ErebusNeuralSamir-7B-dare-ties - GGUF
Model creator:
https://huggingface.co/stevez80/
Original model:
https://huggingface.co/stevez80/ErebusNeuralSamir-7B-dare-ties/
Name
Quant method
Size
ErebusNeuralSamir-7B-dare-ties.Q2_K.gguf
Q2_K
2.53GB
ErebusNeuralSamir-7B-dare-ties.IQ3_XS.gguf
IQ3_XS
2.81GB
ErebusNeuralSamir-7B-dare-ties.IQ3_S.gguf
IQ3_S
2.96GB
ErebusNeuralSamir-7B-dare-ties.Q3_K_S.gguf
Q3_K_S
2.95GB
ErebusNeuralSamir-7B-dare-ties.IQ3_M.gguf
IQ3_M
3.06GB
ErebusNeuralSamir-7B-dare-ties.Q3_K.gguf
Q3_K
3.28GB
ErebusNeuralSamir-7B-dare-ties.Q3_K_M.gguf
Q3_K_M
3.28GB
ErebusNeuralSamir-7B-dare-ties.Q3_K_L.gguf
Q3_K_L
3.56GB
ErebusNeuralSamir-7B-dare-ties.IQ4_XS.gguf
IQ4_XS
3.67GB
ErebusNeuralSamir-7B-dare-ties.Q4_0.gguf
Q4_0
3.83GB
ErebusNeuralSamir-7B-dare-ties.IQ4_NL.gguf
IQ4_NL
3.87GB
ErebusNeuralSamir-7B-dare-ties.Q4_K_S.gguf
Q4_K_S
3.86GB
ErebusNeuralSamir-7B-dare-ties.Q4_K.gguf
Q4_K
4.07GB
ErebusNeuralSamir-7B-dare-ties.Q4_K_M.gguf
Q4_K_M
4.07GB
ErebusNeuralSamir-7B-dare-ties.Q4_1.gguf
Q4_1
4.24GB
ErebusNeuralSamir-7B-dare-ties.Q5_0.gguf
Q5_0
4.65GB
ErebusNeuralSamir-7B-dare-ties.Q5_K_S.gguf
Q5_K_S
4.65GB
ErebusNeuralSamir-7B-dare-ties.Q5_K.gguf
Q5_K
4.78GB
ErebusNeuralSamir-7B-dare-ties.Q5_K_M.gguf
Q5_K_M
4.78GB
ErebusNeuralSamir-7B-dare-ties.Q5_1.gguf
Q5_1
5.07GB
ErebusNeuralSamir-7B-dare-ties.Q6_K.gguf
Q6_K
5.53GB
ErebusNeuralSamir-7B-dare-ties.Q8_0.gguf
Q8_0
7.17GB
Original model description:
license: apache-2.0 tags:
merge
mergekit
samir-fama/SamirGPT-v1
mlabonne/NeuralHermes-2.5-Mistral-7B
KoboldAI/Mistral-7B-Erebus-v3
ErebusNeuralSamir-7B-dare-ties
ErebusNeuralSamir-7B-dare-ties is a merge of the following models using mergekit:
samir-fama/SamirGPT-v1
mlabonne/NeuralHermes-2.5-Mistral-7B
KoboldAI/Mistral-7B-Erebus-v3
🧩 Configuration
\```yaml models:
model: mistralai/Mistral-7B-v0.1
No parameters necessary for base model
model: samir-fama/SamirGPT-v1 parameters: density: 0.53 weight: 0.3
model: mlabonne/NeuralHermes-2.5-Mistral-7B parameters: density: 0.53 weight: 0.3
model: KoboldAI/Mistral-7B-Erebus-v3 parameters: density: 0.53 weight: 0.4 merge_method: dare_ties base_model: mistralai/Mistral-7B-v0.1 parameters: int8_mask: true dtype: bfloat16
\```
