| base_model: | |
| - huihui-ai/MicroThinker-1B-Preview | |
| - Hjgugugjhuhjggg/llama-3.2-1B-spinquant-hf | |
| - huihui-ai/Llama-3.2-1B-Instruct-abliterated | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # merge | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [huihui-ai/Llama-3.2-1B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [huihui-ai/MicroThinker-1B-Preview](https://huggingface.co/huihui-ai/MicroThinker-1B-Preview) | |
| * [Hjgugugjhuhjggg/llama-3.2-1B-spinquant-hf](https://huggingface.co/Hjgugugjhuhjggg/llama-3.2-1B-spinquant-hf) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - layer_range: [0, 1] | |
| model: huihui-ai/Llama-3.2-1B-Instruct-abliterated | |
| parameters: | |
| weight: 1 | |
| density: 0.9 | |
| gamma: 0.01 | |
| normalize: true | |
| int8_mask: true | |
| random_seed: 0 | |
| temperature: 0.5 | |
| top_p: 0.65 | |
| inference: true | |
| max_tokens: 999999999 | |
| stream: true | |
| quantization: | |
| - method: int8 | |
| value: 100 | |
| - method: int4 | |
| value: 100 | |
| - layer_range: [0, 1] | |
| model: huihui-ai/MicroThinker-1B-Preview | |
| parameters: | |
| weight: 1 | |
| density: 0.9 | |
| gamma: 0.01 | |
| normalize: true | |
| int8_mask: true | |
| random_seed: 0 | |
| temperature: 0.5 | |
| top_p: 0.65 | |
| inference: true | |
| max_tokens: 999999999 | |
| stream: true | |
| quantization: | |
| - method: int8 | |
| value: 100 | |
| - method: int4 | |
| value: 100 | |
| - layer_range: [0, 1] | |
| model: Hjgugugjhuhjggg/llama-3.2-1B-spinquant-hf | |
| parameters: | |
| weight: 1 | |
| density: 0.9 | |
| gamma: 0.01 | |
| normalize: true | |
| int8_mask: true | |
| random_seed: 0 | |
| temperature: 0.5 | |
| top_p: 0.65 | |
| inference: true | |
| max_tokens: 999999999 | |
| stream: true | |
| quantization: | |
| - method: int8 | |
| value: 100 | |
| - method: int4 | |
| value: 100 | |
| merge_method: linear | |
| base_model: huihui-ai/Llama-3.2-1B-Instruct-abliterated | |
| weight: 1 | |
| density: 0.9 | |
| gamma: 0.01 | |
| normalize: true | |
| int8_mask: true | |
| random_seed: 0 | |
| temperature: 0.5 | |
| top_p: 0.65 | |
| inference: true | |
| max_tokens: 999999999 | |
| stream: true | |
| quantization: | |
| - method: int8 | |
| value: 100 | |
| - method: int4 | |
| value: 100 | |
| parameters: | |
| weight: 1 | |
| density: 0.9 | |
| gamma: 0.01 | |
| normalize: true | |
| int8_mask: true | |
| random_seed: 0 | |
| temperature: 0.5 | |
| top_p: 0.65 | |
| inference: true | |
| max_tokens: 999999999 | |
| stream: true | |
| quantization: | |
| - method: int8 | |
| value: 100 | |
| - method: int4 | |
| value: 100 | |
| dtype: float16 | |
| ``` | |