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Quantization made by Richard Erkhov.
sixtyoneeighty-7b - GGUF
- Model creator: https://huggingface.co/jambroz/
- Original model: https://huggingface.co/jambroz/sixtyoneeighty-7b/
Name | Quant method | Size |
---|---|---|
sixtyoneeighty-7b.Q2_K.gguf | Q2_K | 2.53GB |
sixtyoneeighty-7b.IQ3_XS.gguf | IQ3_XS | 2.81GB |
sixtyoneeighty-7b.IQ3_S.gguf | IQ3_S | 2.96GB |
sixtyoneeighty-7b.Q3_K_S.gguf | Q3_K_S | 2.95GB |
sixtyoneeighty-7b.IQ3_M.gguf | IQ3_M | 3.06GB |
sixtyoneeighty-7b.Q3_K.gguf | Q3_K | 3.28GB |
sixtyoneeighty-7b.Q3_K_M.gguf | Q3_K_M | 3.28GB |
sixtyoneeighty-7b.Q3_K_L.gguf | Q3_K_L | 3.56GB |
sixtyoneeighty-7b.IQ4_XS.gguf | IQ4_XS | 3.67GB |
sixtyoneeighty-7b.Q4_0.gguf | Q4_0 | 3.83GB |
sixtyoneeighty-7b.IQ4_NL.gguf | IQ4_NL | 3.87GB |
sixtyoneeighty-7b.Q4_K_S.gguf | Q4_K_S | 3.86GB |
sixtyoneeighty-7b.Q4_K.gguf | Q4_K | 4.07GB |
sixtyoneeighty-7b.Q4_K_M.gguf | Q4_K_M | 4.07GB |
sixtyoneeighty-7b.Q4_1.gguf | Q4_1 | 4.24GB |
sixtyoneeighty-7b.Q5_0.gguf | Q5_0 | 4.65GB |
sixtyoneeighty-7b.Q5_K_S.gguf | Q5_K_S | 4.65GB |
sixtyoneeighty-7b.Q5_K.gguf | Q5_K | 4.78GB |
sixtyoneeighty-7b.Q5_K_M.gguf | Q5_K_M | 4.78GB |
sixtyoneeighty-7b.Q5_1.gguf | Q5_1 | 5.07GB |
sixtyoneeighty-7b.Q6_K.gguf | Q6_K | 5.53GB |
sixtyoneeighty-7b.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
base_model: - Intel/neural-chat-7b-v3-1 - mlabonne/AlphaMonarch-7B - HuggingFaceH4/zephyr-7b-beta - mlabonne/NeuralBeagle14-7B library_name: transformers tags: - mergekit - merge license: apache-2.0
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 mlabonne/NeuralBeagle14-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: mlabonne/NeuralBeagle14-7B
dtype: bfloat16
merge_method: dare_ties
models:
- model: mlabonne/NeuralBeagle14-7B
- model: mlabonne/AlphaMonarch-7B
parameters:
density: '0.53'
weight: '0.4'
- model: Intel/neural-chat-7b-v3-1
parameters:
density: '0.53'
weight: '0.3'
- model: HuggingFaceH4/zephyr-7b-beta
parameters:
density: '0.53'
weight: '0.3'
parameters:
int8_mask: true
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Model size
7.24B params
Architecture
llama
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